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This paper presents the sensorless speed control of induction motors using a Model Reference Adaptive System (MRAS) method and field-oriented control. The main objective is to minimize the cost related to speed sensors, thereby improving both the affordability and efficiency of motor control. The sensor is eliminated by estimating the rotor's angular speed, and the MRAS approach offers a sturdy alternative for this purpose. The presented approach provides a robust alternative, where the adaptation mechanism is facilitated by the implementation of a Deadbeat regulator. This mechanism allows for an improved response and superior control in motor operations, thus making sensor-based systems less necessary. In order to ascertain the efficiency of the proposed method, a comprehensive simulation test was conducted using MATLAB/Simulink. [ABSTRACT FROM AUTHOR]

Induction motors have been widely used across industry, particularly with smaller loads and fixed speed services. Existing works focus on fault detection of induction motors without considering the shutdown time and production in industry. Therefore, this work aims to monitor the health conditions of the induction motor continuously through electrical signature analysis ( ESA). The proposed technique is capable of predicting different kinds of faults, i. e., rotor faults, stator phase imbalances, and supply cable faults at early stages. Moreover, ESA in real time is implemented. Thereafter, these current spectra were analyzed in frequency domain and compared with healthy current spectra. Performance evaluation is implemented by observing these spectra under different faulty conditions. A comparative study is made and analyzed through MATLAB simulations. [ABSTRACT FROM AUTHOR]

This paper models the single and bi-objective brain emotional intelligent controllers for the dual stator winding induction motor (DSWIM) drive. The main purpose of this paper is performance improvement of the DSWIM drive control system and power losses reduction of the inverter in the DSWIM drive at low speeds. In the vector control method, it is difficult to estimate flux at low speeds. To solve the mentioned problem, researchers have used from the free capacity of the two windings of the stator. This paper presents three proposed methods: 1. Using the idea of rotor flux compensation based on classical PI controller at low speeds, the motor works in its standard operating mode; 2. Proposed Method 1 is reformed and improved based on the bi-objective brain emotional controller; and 3. Proposed Method 2 is improved using single-objective brain emotional controller in the speed control loops of the DSWIM drive. The proposed methods are simulated in MATLAB/Simulink software. [ABSTRACT FROM AUTHOR]

The main objective of this study is to develop a quantum-behaved lightening search algorithm (QLSA) to improve the indirect field-oriented fuzzy-proportional-integral (PI) controller technique to control a three-phase induction motor (TIM) drive. The generated adaptive PI current control parameters and fuzzy membership functions are carried to design induction motor drive speed controller to minimize the fitness function formulated by QLSA. An optimal QLSA-based indirect field-oriented control (QLSA-IFOC) fitness function is used to reduce the mean absolute error of the rotor speed to improve the performance of the TIM with varying speed and mechanical load. Results obtained from the QLSA-IFOC are compared with those obtained through lightening search algorithm, gravitational search algorithm, backtracking search algorithm, and particle swarm optimization to validate the developed controller. The optimization results of objective functions in terms of box plots and iterations show that the QLSA algorithm outperforms the other optimization algorithms. Moreover, the QLSA-IFOC controller performed well in all tests in terms of transient response. The developed controller also minimizes overshoot, increases damping capability, and reduces the root-mean-square error, as well as standard deviation under sudden change of speed and mechanical loads. A comparative analysis is performed between simulation and experimental results to justify the efficiency of the developed controller. [ABSTRACT FROM AUTHOR]

This paper presents an inherent speed estimation scheme associated to the Indirect Field Oriented Control in case of Induction motor sensorless control. Indeed, through the design of a Multiobjective Adaptive Fuzzy Luenberger Observer, the speed sensorless control issue even at low speed, the observer poles' assignment issues and the speed estimation's sensitivity to rotor resistance uncertainties issue are treated concurrently. First of all, the structure of the proposed Takagi-Sugeno adaptive observer is described. Secondly, based on Lyapunov theory, observer gains are designed and a fuzzy speed estimation scheme is provided. The design's objectives consist of minimizing the sensitivity of the proposed observer to rotor resistance uncertainties (using the L 2 techniques) and to guarantee a specified observer dynamic performances through a D-stability analysis. The design conditions are formulated into Linear Matrix Inequalities terms. Finally, experiments are conducted to demonstrate the effectiveness of the proposed results regardless of uncertainties in the rotor resistance. [ABSTRACT FROM AUTHOR]

This paper presents, first a d-q purely mixed model including the mutual leakage flux and a digital field oriented control of a double star induction motor using a two-level six-phase inverter; seconds a PI regulator to control the speed and the stator current of DSIM. To achieve a control of this machine two voltage source inverter of PWM techniques are introduced. A comparison with a traditionally (PI) controller is discussed. Extensive simulation is performed and it is shown that the reduction of the current harmonics is in essence almost the same as in another recently developed DFOC scheme. However, the achieved torque ripple reduction makes the scheme superior when compared to the existing approaches. At the same time, developed scheme retains qualities of conventional DFOC schemes, such as simple structure and fast response. Its additional beneficial feature is the easiness of implementation. [ABSTRACT FROM AUTHOR]

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In this paper, a speed control system for a three-phase induction motor was modelled and designed within LabVIEW software environment. After structuring the dynamical model of the motor, a current controller was developed to stabilize the system and avoid a wind-up situation. Then, a speed controller was designed, using PID and Field Weakening techniques, to generate the reference current values. The field-weakening algorithm is used to achieve stability at speeds that are higher than the nominal one. An estimator is used to calculate the flux angle and the electromechanical speed of the motor. As a result, the system achieved the desired speed with good transient and steady state responses. In addition, the system proved to be robust when the torque load is applied in all cases. [ABSTRACT FROM AUTHOR]

The current use of first-order incremental prediction is simply the use of motor speed increment to predict the next moment motor speed. For the problem that the prediction error is large when the nonlinear speed changes with time, this paper proposes a new speed prediction method of variable frequency drive induction motor based on second-order increment. The future speed of variable frequency drive induction motor running with fault is predicted by using the second-order increment of speed. Compared with first-order, the future speed prediction is closer to the future speed of motor running with fault, and can carry out N-class promotion. The experimental results show that the method realizes the prediction and control of the motor speed, the effect of reducing the amount of calculation is obtained under the condition of small disturbance error, and the accuracy of speed prediction is improved. [ABSTRACT FROM PUBLISHER]

Single-Phase Induction Motor (SPIM) is the main contributor to the electricity consumption in residential and commercial sectors where three-phase power supply is not available. SPIM efficiencies range from as low as 30% to as high as 65%, depending on the motor type and design. To guarantee the efficient use of energy, the investigation of different SPIM drives have been increased in recent decades. Efficient control policies of SPIM drives offer a great potential for energy saving. Thus research on optimum operation of SPIM drives is escalating. However, there seems to be an absence of a comprehensive review on Variable Speed Control (VSC) techniques for SPIM drives in order to address the need for a thorough insight on SPIMs’ drives. In this paper, the principal of control techniques for SPIM drives is explained and their pros and cons are discussed. Ultimately, from different perspectives, VSC techniques for SPIM drives are compared and appraised. It is envisaged that this paper will be a valuable one-stop source of information for researchers working in this topic. [ABSTRACT FROM AUTHOR]

The implementation of a positive sequence model for a squirrel cage induction motor speed control drive for use in time-domain simulations of power systems is addressed. The drive model modulates the motor stator voltage magnitude and frequency to maintain constant rotor speed. A non-ideal operation of the rectifier has been assumed. The performance of the model is assessed using a three-machine nine bus WSCC equivalent system and a test distribution system. To simulate the time-domain behaviour, an independently developed simulation program is used. It shows that the behaviour of the motor model in the independently developed simulation program is comparable and coincident to the behaviour of a motor model in commercial software. Furthermore, the need to include induction motor speed drive models in commercial software to analyse the behaviour of realistic systems is highlighted. [ABSTRACT FROM AUTHOR]

This paper presents an integrated environment for speed control of induction motor (IM) using artificial intelligent controller. The main problem with the conventional fuzzy controllers is that the parameters associated with the membership functions and the rules depend broadly on the intuition of the experts. To overcome this problem, adaptive neuro-fuzzy inference system (ANFIS) controller is proposed in this paper. The rapid development of power electronic devices and converter technologies in the past few decades, however, has made possible efficient speed control by varying the supply frequency and voltage, giving rise to various forms of adjustable-speed induction motor drives. The integrated environment allows users to compare simulation results between classical and artificial intelligent controllers. The fuzzy logic controller (FLC), artificial neural network (ANN), and ANFIS controllers are also introduced to the system for keeping the motor speed to be constant when the load varies. Comparison between PI, fuzzy, ANN, and Adaptive neuro-fuzzy controller-based dynamic performance of induction motor drive has been presented. ANFIS-based control of induction motor will prove to be more reliable than other control methods. The performance of the induction motor drive has been analyzed for no load, constant load, and change in speed conditions. This paper also takes detailed review of the previous literature along with the contribution of us. [ABSTRACT FROM AUTHOR]

In this paper non-linear backstepping control (BSC) is employed for high performance five-phase induction motor drive for low speed operation. The traditional control approaches such as direct torque control and indirect rotor field oriented control introduces stability problem at low speed. The proposed BSC is shown to offer stable operation in the sense of Lyapunov and high dynamics at low speed. Experimental results are provided to present the proprieties of the proposed approach at low speed in terms of stability, torque ripple, desired control performance, achievable dynamics and complexity of implementation etc. [ABSTRACT FROM AUTHOR]

This paper presents a new high speed induction motor drive based on the core advantage of field orientation control (FOC) and hysteresis current comparison (HCC). A complete closed loop speed-controlled induction motor drive system is developed consisting of an outer speed and an inner HCC algorithm which are optimised to obtain fast and stable speed response with effective current and torque tracking, both during transient and steady states. The developed model, being speed-controlled, was examined with step and ramp speed references and excellent performances obtained under full load stress. A speed response comparison of the model with the standard AC3 (Field-Oriented Control Induction Motor Drive) of MATLAB Simpower systems shows that the model achieved a rise time of 0.0762 seconds compared to 0.2930 seconds achieved by the AC3. Also, a settle time of 0.0775 seconds was obtained with the developed model while that of the AC3 model is 0.2986 seconds confirming, therefore, the superiority of the developed model over the AC3 model which, hitherto, served as a reference standard. [ABSTRACT FROM AUTHOR]

In this research study, Type-1 and Type-2 fuzzy logic controller-based model reference adaptive system speed estimator for direct torque and flux control with space vector modulation of a speed sensorless induction motor drive is proposed to replace the conventional proportional-integral controller. Initially, Type-1 fuzzy logic controller is developed, which is used to achieve high performance sensorless drive in both transient as well as steady state conditions. However, the Type-1 fuzzy sets are certain and unable to work effectively when higher degree of uncertainties in the system which can be caused by sudden change in speed or different load torque disturbances, process noise, etc. Therefore, a new Type-2 fuzzy logic controller-based adaptation scheme is proposed to better handle the higher degree of uncertainties along with enhancing the performance and also robust to various load torque and sudden change in speed conditions respectively. The detailed performances of various control schemes are carried out in MATLAB/SIMULINK with speed sensor and sensorless modes of operation when an induction motor drive is operating under different conditions, such as no-load, load, sudden change in speed and low speed respectively. To validate the different control approaches, an experimental prototype is developed and adequate results are reported for its validation. Superior performance has been obtained using the Type-2 fuzzy logic controller scheme in speed sensor and sensorless modes of operation compared with Type-1 fuzzy logic controller and proportional-integral controller based adaptation schemes respectively. Copyright © 2016 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]

In this paper, a new switching method in Direct Torque Control (DTC) of a six-phase induction machine for reduction of current harmonics is introduced. Selecting a suitable vector in each sampling period is an ordinal method in the ST-DTC drive of a six-phase induction machine. The six-phase induction machine has 64 voltage vectors and divided further into four groups. In the proposed DTC method, the suitable voltage vectors are selected from two vector groups. By a suitable selection of two vectors in each sampling period, the harmonic amplitude is decreased more, in and various comparison to that of the ST-DTC drive. The harmonics loss is greater reduced, while the electromechanical energy is decreased with switching loss showing a little increase. Spectrum analysis of the phase current in the standard and new switching table DTC of the six-phase induction machine and determination for the amplitude of each harmonics is proposed in this paper. The proposed method has a less sampling time in comparison to the ordinary method. The Harmonic analyses of the current in the low and high speed shows the performance of the presented method. The simplicity of the proposed method and its implementation without any extra hardware is other advantages of the proposed method. The simulation and experimental results show the preference of the proposed method. [ABSTRACT FROM AUTHOR]

This paper presents some aspects related to the performances of a high-speed induction motor used for the propulsion of an electric vehicle. For the construction of the rotor cage of a 20 kW machine operating at a rated speed of 26000 rpm, both aluminium and copper were used. A comparison among these structures both from the electromagnetic and mechanical point of view, based on an analytical, but mainly numerical analysis, was performed. The differences among these structures, underlining the advantages and shortcomings of the use of the two conductor materials, are discussed in detail in the paper. The performed numerical analysis validates the analytical choices from the electromagnetic point of view and shows the major differences between the two variants from the mechanical point of view. [ABSTRACT FROM AUTHOR]

A speed and flux estimation method for induction motors (IMs) based on robust adaptive state observer is proposed in this paper as a modification of the adaptive state observer. The effect of gross errors on estimation accuracy of the adaptive state observer is analyzed. Whether the robust adaptive state observer can give better estimation performance and robust ability than traditional adaptive state observer for speed and flux estimation of IMs is discussed. Through the simulation and experiments, the speed estimated error and the flux fluctuation of robust adaptive state observer by gross external disturbance and internal estimated error is compared with traditional adaptive state observer. The simulation and experimental results show that the robust adaptive state observer has the better estimation performance of antigross error than traditional adaptive state observer. [ABSTRACT FROM PUBLISHER]

Induction motors are widely used every production process today. Their torque-speed characteristics are the most important properties. This paper describes a simple and efficient analytical technique to determine speed-torque performance curve of induction motor from manufacturer data. The obtained speed-torque curve is verified against that derived from the conventional equivalent model where the motor's parameters are already known. A good agreement between the obtained speed-torque curves is clearly observed. The motor's performance torque curves derived with an aid of the analytical formula from the manufacturer catalog are also presented. [ABSTRACT FROM AUTHOR]

This paper presents proportional integral direct torque control (PIDTC) and neuro-fuzzy-based DTC (NFDTC) using bus-clamped space vector modulation for two-level inverter. The PIDTC provides more ripples in flux, speed, and torque during speed/load changing conditions, and also gives more total harmonic distortion (THD) in current of the induction motor (IM). In order to improve the dynamic and the ripple performance of IM drive, the NFDTC is used in which the PI-controllers (speed and torque) are replaced with neuro-fuzzy controls using hybrid learning algorithm. The hybrid algorithm divides into two parts such as back propagation and least square estimation methods to improve the controller performance. Also, the duty ratios are controlled as independent of sampling time to improve the gating pulse of the inverter. A prototype IM drive is developed with a DSPACE DS-1104 controller to validate their simulated performance. The experimental results show that the NFDTC has less current THD than PIDTC leading to significant improvement in torque and flux ripples with fast dynamic response of IM drive. [ABSTRACT FROM PUBLISHER]

Direct torque control of asynchronous motors has good dynamic performance of torque and flux. However, the use of hysteresis controllers leads to a variable switching frequency. This lack of control over frequency is the origin of torque and flux ripples. To overcome these problems, this article proposes modified fuzzy direct torque control for an induction motor. In addition, a three-phase pulse width modulation rectifier controlled by the fuzzy direct power control is used. This rectifier draws a sinusoidal current from the grid and operates with a power factor close to unity. The pulse width modulation rectifier feeds the inverter of the direct torque control, ensuring a speed control loop. The proposed direct torque control–direct power control method is investigated based on theoretical analysis, computer simulation, and experimental validation that provide acceptable results. [ABSTRACT FROM AUTHOR]

The PID algorithm is the most popular controller used within the process industries. Robust easily understood algorithm could provide excellent control performance despite of the varied dynamic characteristic of process plant. However, the tuning of the PID controller parameters are not easy and does not give the optimal required response, especially with non-linear system. In the last years emerged several new intelligent optimization technique like, Adaptive Tabu search (ATS), Particle Swarm Optimization (PSO) techniques to get better control of the speed. This Paper deals with the speed control of single Phase Induction Motor with closed loop PID controller using (ATS) as intelligent optimization technique . The system is simulated using Matlab/Simulink GUI environment and the results are discusses. The Ziegler- Nichols methods for tuning PID controller is represent as a point of comparison. The intelligent optimization technique ATS is propos to tune the PID controller parameters to get optimal results of the closed loop of PID - ATS Controller. The Simulation results show the effectiveness of the propose method, which has get number of advantages. [ABSTRACT FROM AUTHOR]

This paper proposes the speed control of IM (Induction Motor) fed by wind turbine using ICA (Imperialist Competitive Algorithm). The wind turbine plays as a prime mover to a connected DC (Direct Current) generator. PWM (Pulse Width Modulation) is used to get three phase AC (Alternating Current) voltage from the output of DC generator. The proposed design problem of speed controller is established as an optimization problem. ICA is adopted to search for optimal controller parameters by minimizing the time domain objective function. The behavior of the proposed ICA has been estimated with the behavior of the conventional ZN (Ziegler–Nichols) and GA (Genetic Algorithm) in order to prove the superiority of the proposed ICA in tuning PI (Proportional plus Integral) controller. Also, the behavior of the proposed controller has been tested over a wide range of operating conditions. Simulation results confirm on the better behavior of the optimized PI controller based on ICA compared with other algorithms. [ABSTRACT FROM AUTHOR]

In this research study, a model reference adaptive system (MRAS) speed estimator for speed sensorless direct torque and flux control (DTFC) of an induction motor drive (IMD) using two adaptation mechanism schemes are proposed to replace the conventional proportional integral controller (PIC). The first adaptation mechanism scheme is based on Type-1 fuzzy logic controller (T1FLC), which is used to achieve high performance sensorless drive in both transient as well as steady state conditions. However, the Type-1 fuzzy sets are certain and unable to work effectively when higher degree of uncertainties presents in the system which can be caused by sudden change in speed or different load disturbances, process noise etc. Therefore, a new Type-2 fuzzy logic controller (T2FLC) based adaptation mechanism scheme is proposed to better handle the higher degree of uncertainties and improves the performance and also robust to various load torque and sudden change in speed conditions, respectively. The detailed performances of various adaptation mechanism schemes are carried out in a MATLAB/Simulink environment with a speed sensor and speed sensorless modes of operation when an IMD is operating under different operating conditions, such as, no-load, load and sudden change in speed, respectively. To validate the different control approaches, the system also implemented on real-time system and adequate results are reported for its validation. [ABSTRACT FROM AUTHOR]

A novel robust control scheme employing three first-order auto-disturbance rejection controllers (ADRCs) is presented for the speed control of induction motor drives. Compared with the existing high-order ADRC-based speed control structures, the proposed method does not need to estimate the rotor flux. As a result, the implementation of the proposed scheme on a digital signal processor (DSP) is easier, and the runtime of the proposed ADRC control algorithm is shorter. The simulation results show that the proposed control scheme can cope with the internal disturbance and external disturbance, such as the motor's parameter variations, the load disturbances, etc. A TMS320F2812 DSP-based prototype using the proposed control scheme was developed. The comparative experimental results show that the robustness of the proposed ADRC system is obviously better than the conventional proportional–integral system when various disturbances occur, and the scheme is feasible and effective. [ABSTRACT FROM AUTHOR]

Presents the table of contents for this issue of the periodical. [ABSTRACT FROM AUTHOR]

In rotor-slot-harmonic-based speed detection schemes, a grid-connected induction motor's rotational speed isresolved from the phase of a rotor slot harmonic signal for condition monitoring purposes. In such schemes,frequency-selective digital filters are often applied to attenuate interferences in sampled motor currents before rotorslot harmonic signals are extracted. This paper demonstrates that the use of linear-phase filters, which is a family ofdigital filters with linear phase responses, helps preserve the rotor slot harmonic signal's phase during the filteringoperation. This paper also shows that, for grid-connected induction motors with periodically time-varying loads, therotor slot harmonic signal's frequency is modulated by periodic speed oscillations and hence contains multiple sidebandsin the frequency spectrum. Experimental results further show that linear-phase filters allow for a more accuratedetection of the induction motor speed than filters with nonlinear phase responses. [ABSTRACT FROM AUTHOR]

A sensorless speed/position tracking control scheme for induction motors is proposed subject to unknown load torque via adaptive strictly positive real (SPR) approach design. A special nonlinear coordinate transform is first provided to reform the dynamical model of the induction motor. The information on rotor fluxes can thus be derived from the dynamical model to decide on the proportion of input voltage in the d-q frame under the constraint of the maximum power transfer property of induction motors. Based on the SPR approach, the speed and position control objectives can be achieved. The proposed control scheme is to provide the speed/position control of induction motors while lacking the knowledge of some mechanical system parameters, such as the motor inertia, motor damping coefficient, and the unknown payload. The adaptive control technique is thus involved in the field oriented control scheme to deal with the unknown parameters. The thorough proof is derived to guarantee the stability of the speed and position of control systems of induction motors. Besides, numerical simulation and experimental results are also provided to validate the effectiveness of the proposed control scheme. [ABSTRACT FROM AUTHOR]

The use of Induction motors has increased tremendously, since the day of its invention. They are being used as actuators in various industrial processes, robotics, house appliances and other similar applications. The reason for increasing popularity day by day can be primarily attributed to its robust construction, simplicity in design and cost of effectiveness. This paper presents a methodology for implementation of a rule-based fuzzy logic controller applied to a closed loop Volts/Hz speed control of induction motor. The Induction motor is modelled using a dq axis theory. The designed Fuzzy Logic Controller's performance is weighed and is compared with that of a PI controller. The system has been simulated in MATLAB/SIMULINK and the results have been presented. The results obtained by using a conventional PI controller and the designed Fuzzy Logic Controller have been compared. [ABSTRACT FROM AUTHOR]

This paper presents the modeling and implementation of an installation designed to control an asynchronous motor within a SCADA interface by a frequency converter. The installation is software controlled by using open source systems. From this perspective the achievement is cheap, yet stable and reliable, ensuring protection of the equipment when leaving the working regime. The surveillance of equipment parameters is done locally through measuring equipment (indicators with precision and digital display) and remotely on a PC with software for monitoring and recording data. The adoption of Pro View as an open source software solution brings the costs down while maintaining a high level of robustness in installations controlling. [ABSTRACT FROM AUTHOR]

This paper reports the enhancement of the output power and power factor of a transfer field machine operating in the asynchronous mode by direct capacitance injection into the auxiliary winding of the machine, which is electrically isolated from the main winding but magnetically coupled to it. It is shown that by proper tuning of the injected capacitance, the torque and output power of the machine is markedly enhanced at improved power factor. With the enhanced output power achievable by capacitance injection, the transfer field machine can compare favorably with an equivalent induction motor except that the synchronous speed is inherently limited to half the frequency of the stator mmf wave (ωr = ½ ωo). [ABSTRACT FROM AUTHOR]

This paper presents the design and simulation of a high-performance brain emotional learning and fuzzy-based intelligent controller (BELFBIC) for three-phase induction motor V/f speed control. V/Hz control is simple and relatively easy to implement. It provides motor performance that is adequate for most applications. For the first time, this new design brain emotional learning and fuzzy-based intelligent controller is used for a space vector pulse width modulation inverter fed induction motor V/f speed control. A comparative analysis with a PID controller and a fuzzy controller is also carried out. The simulation is carried out by MATLAB/Simulink. [ABSTRACT FROM AUTHOR]

An induction motor (IM) with two sets of three-phase windings in stator is called a six-phase IM (SPIM). SPIM has lower torque pulsation compared to a three-phase IM and using SPIM, the power rating of inverter legs can be reduced. This paper offers a high performance intelligent controller for speed automatic control of a SPIM. A brain emotional learning based intelligent controller (BELBIC) is proposed as the speed controller. This emotional controller has simple structure with high auto learning feature and it is independent of parameters variations. A direct vector control in rotor flux frame based on space vector pulse width modulation (SVPWM) is used to decouple flux and torque control of the SPIM like a conventional three-phase machine. In this work, the d-axis current and speed reference signals are accurately tracked. An overview of the BELBIC is provided. A comparison with the conventional PI controller and Sliding Mode Control (SLMC) points out the superiority of the proposed BELBIC in speed response and torque ripple. Experimental results indicate that the BELBIC achieves a good speed regulation with a less control effort and torque ripple. [ABSTRACT FROM AUTHOR]

Open loop VVVF control has the disadvantage of low output torque when working at low frequency and poor speed precision at different load conditions. Various performanceimproving schemes have been proposed for the basic VVVF control by compensating slips occurring in the low frequency range and slips caused by changing loads and several papers have been published on the close loop speed control of rotary induction motor. In this paper a close loop speed control with VVVF control and slip regulation has been implemented for LIM based conveyor belt test Rig which compensates the disadvantages of traditional Volts/Hz control. SIMULINK results are presented to validate the effectiveness of the proposed scheme. [ABSTRACT FROM AUTHOR]

A sensorless rotor-field oriented control induction motor drive with particle swarm optimization algorithm speed controller design strategy is presented. First, the rotor-field oriented control scheme of induction motor is established. Then, the current-and-voltage serial-model rotor-flux estimator is developed to identify synchronous speed for coordinate transformation. Third, the rotor-shaft speed on-line estimation is established applying the model reference adaptive system method based on estimated rotor-flux. Fourth, the speed controller of sensorless induction motor drive is designed using particle swarm optimization algorithm. Simulation and experimental results confirm the effectiveness of the proposed approach. [ABSTRACT FROM AUTHOR]

-In this paper, a new optimized structure for two-speed, capacitor-run, single-phase axial flux induction motor (AFIM) for direct-drive operation is presented. Although, there are many advantages for direct-drive systems, their axial forces between the stator and rotor increases with reduction in air-gap length and is of serious concern. An increase in the air-gap length will result in the deterioration of performance characteristics of the motor. In this paper, a new construction technique is proposed to fabricate an AFIM with adjustable air-gap length. After presenting a comprehensive design algorithm, all geometrical dimensions and electrical equivalent circuit parameters are analytically calculated. Then, a multiobjective and multivariable optimization for a high efficiency and power factor with minimum usage of core materials is carried out. Optimization process is verified using three-dimensional, time-stepping finite-element analyses, and finally, the prototype of the optimal motor is fabricated and tested. Good agreements between analytic, finite element, and experimental results show the success of the proposed design. [ABSTRACT FROM AUTHOR]

In this paper an alternative method to the classical control of the induction motor drive system is proposed. More exactly, a model predictive control (MPC) for the rotor speed of the induction motor is presented. The numerical simulation is done using Simulink and then the results are compared with a classical approach (PI controller). [ABSTRACT FROM AUTHOR]

This paper deals with the analysis techniques of a high speed and high efficiency 10 kW, 30,000 rpm rated induction motor. The induction motor has been analyzed by time-varying magnetic finite element method and the test results show that there is a possibility that the motor could be used in a high speed spindle system application. All analysis techniques are introduced to develop a high speed and high efficiency induction motor made by copper die casting. The analysis techniques are composed of magnetic analysis considering losses and input current (PWM and sinusoidal), structural analysis of rotor and stator, 3-D rotordynamic analysis and 3-D CFD. All performances of the prototype are successfully verified. [ABSTRACT FROM AUTHOR]

Abstract: An IP-self-tuning controller tuned by a fuzzy adjustor, is proposed to improve induction machine speed control. The interest of such controller is the possibility to adjust only one gain, instead of two gains for the case of the PI-self-tuning controllers commonly used in the literature. This paper presents simulation and experimental results. These latter were obtained by practical implementation on a DSPace 1104 board of three different speed controllers (the classical IP, the fuzzy-like-PI and the IP-self-tuning), for a 1.5KW induction machine. The paper presents different tests used to compare the performances of the proposed controller to the two others in terms of computation time, tracking performances and disturbances rejection. [Copyright &y& Elsevier]

Abstract: This paper deals with the design of a speed soft sensor for induction motor. The sensor is based on the physical model of the motor. Because the validation step highlight the fact that the sensor cannot be validated for all the operating points, the model is modified in order to obtain a fully validated sensor in the whole speed range. An original feature of the proposed approach is that the modified model is derived from stability analysis using automatic control theory. [Copyright &y& Elsevier]

In this paper, we propose an adaptive neuro-fuzzy inference system for high performance induction motor drive. The simultaneous observation of rotor speed and stator resistance in induction drive is obtained through a neuro-fuzzy observer trained with a backpropagation algorithm. The dynamic performance and robustness of the proposed neuro- fuzzy adaptive observer are evaluated under a variety of operation conditions. The suggested approach is designed and implemented in the laboratory and its effectiveness in tracking application is verified. Experimental results have shown excellent tracking performance of the proposed speed sensorless control system and have convincingly demonstrated the usefulness of the hybrid neuro-fuzzy flux observer in high performance drives with uncertainties. [ABSTRACT FROM AUTHOR]