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98 results on '"Sreejeth, Mini"'

5. Hardware Design for a Water-Based Solar Panel Cleaning Robot for Residential Purpose

Author

Vyas, Rushil, Meena, Priya, Jain, Prakhar, Sreejeth, Mini, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Tan, Kay Chen, Series Editor, Shrivastava, Vivek, editor, and Bansal, Jagdish Chand, editor

Published
2024
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9. Analysis and Mitigation of Hall Sensor Glitch Effects in Brushless DC Motor Based E-Vehicle Controller

Author

Goswami, Arvind, Sreejeth, Mini, Singh, Madhusudan, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Rani, Asha, editor, Kumar, Bhavnesh, editor, Shrivastava, Vivek, editor, and Bansal, Ramesh C., editor

Published
2023
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10. Implementation, Analysis, and Emulation of Electric Vehicle Powertrain System with Sensorless Field Controlled PMSM Drive

Author

Verma, Monika, Sreejeth, Mini, Singh, Madhusudan, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Yang, Xin-She, editor, Sherratt, Simon, editor, Dey, Nilanjan, editor, and Joshi, Amit, editor

Published
2023
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16. Short-Term Load Forecasting Using Artificial Neural Network and Time Series Model to Predict the Load Demand for Delhi and Greater Noida Cities

Author

Singh, Nikita, Sharma, Pratyush, Kumar, Nikhil, Sreejeth, Mini, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Mahapatra, Rajendra Prasad, editor, Panigrahi, B. K., editor, Kaushik, Brajesh K., editor, and Roy, Sudip, editor

Published
2021
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37. Thermal study of MOSFET heat sinks for motor controller in neighbourhood electric vehicles

Author

Tripathi, Kshitij, Ghosh, Aakash, Mangal, Aryan, Sreejeth, Mini, and Indu, S.

Abstract

This paper aims to present a comparative study on the thermal performance of two different variants of heat sinks used for MOSFETs, one which is newly designed in order to achieve improved heat transfer. Both MOSFET heatsink designs are developed using computer-aided design suites and are analysed using ANSYS. The MOSFETs differ in their heat sink design but are subjected to identical boundary conditions. The temperature contour plots are examined and further discussed in the study. Multiple iterations of the model are tested and analysed under multiple time intervals and constant heat flux. It is seen that under the steady state thermal analysis, the newly designed variant of the heatsink has a lower maximum temperature and lower maximum heat flux indicating a much more efficiently distributed heat transfer throughout the system. A transient thermal analysis simulation is put forward for the comparison of thermal characteristics of both systems for an arbitrary period of 2 hours, approximate time for thermal load saturation. The novel heatsink also shows improved thermal results under this transient thermal analysis with lower maximum temperature and better heat distribution.

Published
2023
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41. Integrated Taguchi method‐assisted polynomial Metamodelling & Genetic Algorithm based optimisation of a surface inset permanent synchronous motor for performance improvement.

Author

Verma, Monika, Singh, Madhusudan, and Sreejeth, Mini

Subjects
SYNCHRONOUS electric motors, ELECTRIC machines, ELECTRIC vehicles, PERMANENT magnet motors, GENETIC algorithms
Abstract

In this study, an Integrated Taguchi method‐assisted polynomial Metamodelling & Genetic Algorithm (ITM&GA)‐based optimisation technique is implemented for design optimisation of a surface inset permanent magnet synchronous motor (SIPMSM). The motor geometry is analysed by implementing the finite element method for application of the motor in electric compressors of the cooling system of an electric vehicle (EV). The polynomial surrogate model is computed with the help of Taguchi experiments to eliminate the redesigning process of models to reach the optimum values of design parameters and reduce the ambiguity to select the best optimum solution in Traditional Taguchi Method. The root‐mean‐square error test is performed to validate the accuracy of metamodels. The optimum solutions are then converged using the GA technique. The optimum results are compared and presented. Using the ITM&GA technique, the reduction in unwanted ripples in torque and cogging torque along with the improved torque performance of the motor is achieved successfully. The proposed mechanism is effective in obtaining quick and accurate solutions for preliminary designs of the SIPMSM for the electric compressor application in EVs. [ABSTRACT FROM AUTHOR]

Published
2022
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42. Improved ANFIS based MRAC observer for sensorless control of PMSM.

Author

Suryakant, Sreejeth, Mini, Singh, Madhusudan, Malik, Hasmat, Chaudhary, Gopal, and Srivastava, Smriti

Subjects
*POSITION sensors, *PERMANENT magnet motors, *TORQUE control, *ADAPTIVE control systems
Abstract

Detection of the rotor position is an important prerequisite for controlling the speed and developed torque in permanent magnet synchronous motor (PMSM). Even though use of incremental encoder and resolver is one of the popular schemes for sensing the rotor position in a PMSM drive, it increases the size and weight of the drive and reduces its reliability. Dynamic modeling of the motor and control algorithms are often used in sensor-less control of PMSM to estimate rotor position and motor speed. Most sensor-less control algorithms use machine parameters like torque constant, stator inductances and stator resistance for estimating the rotor position and speed. However, with accuracy of such estimation and the performance of the motor degrades with variation in motor parameters. Model reference adaptive control (MRAC) provides a simple solution to this issue. An improved Adaptive neuro-fuzzy inference system (ANFIS) based MRAC observer for speed control of PMSM drive is presented in this paper. In the proposed method adaptive model and adaptive mechanism are replaced by an improved ANFIS controller, which neutralize the effect of parametric variation and results in improved performance of the drive. The modeling equations of PMSM are used to estimate the rotor position for speed and torque control of the drive. Simulation studies have been carried out under various operating condition using MATLAB/Simulink. In addition, a comparative analysis of the conventional MRAC based observer and improved ANFIS based MRAC observer is carried out. It is observed that the proposed method results in better performance of the PMSM drive. [ABSTRACT FROM AUTHOR]

Published
2022
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