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In this article, based on the recommendations of systems engineering, a procedure for generating a parametric and functional interior permanent magnet synchronous motor model is proposed. The developed and applied current-adaptive procedure allows to transform the functional relationships of the motor topologies into an advanced model with higher prediction accuracy over a considerably extended definition range. Compared to the state of the art, the proposed approach allows a more general and flexible analysis of electrical machines. A study demonstrates through multicriteria optimization that the design space has a major influence on efficiency and must be taken into account when defining architectures. Existing approaches are typically limited by model constraints to local investigations, the proposed method has advantages over these procedures. In addition to the analysis and optimization of systems, it is shown that the proposed procedure supports decision-making processes due to the integrated system focus. Potentials are identified and discussed in terms of efficiency-enhancing opportunities. A prototype was built and measured to verify the results. [ABSTRACT FROM AUTHOR]

Successive batch processes generally involve within-batch and batch-to-batch correlations, and monitoring of such batch processes is imperative. This paper proposes a multiobjective two-dimensional canonical correlation analysis (M2D-CCA)-based fault detection scheme to achieve efficient monitoring of successive batch processes. First, three-way historical batch process data are unfolded into two-way time-slice data. Second, for each time-slice measurement, CCA is performed between the current measurement and previous measurements from both time and batch directions, which takes the within-batch and batch-to-batch correlations into account. To determine the involved measurements and eliminate the influence of unrelated variables, multiobjective evolutionary optimization is performed, which tries to maximize the preserved canonical correlation coefficients and minimize the number of involved variables. Finally, based on the established M2D-CCA model, an optimal fault detection residual is generated for each time-slice measurement. The M2D-CCA fault detection scheme performs fault detection using the current measurement and the information provided by its previous samples and batches, and therefore exhibits a superior monitoring performance. The M2D-CCA fault detection approach is tested on a numerical example and an industrial injection molding process. Monitoring results verify the feasibility and superiority of the proposed monitoring scheme. [ABSTRACT FROM AUTHOR]

Planar parallel three-degrees-of-freedom (3-DOF) nanopositioning systems have been widely applied in scanning probe microscopy, micro-/nanomanipulation, nanoimprint lithography, and precision machining. Two effective optimization approaches are proposed to enhance the system performance in this paper. First, seven indexes are involved in modeling a nanopositioning platform to evaluate the mechanism performance. Four constraints are also considered. A general analysis, optimization, and decision-making method to select better structure parameters is presented. Prototype test results demonstrate high accuracy of the proposed modeling approach and efficiency of the optimization method. Second, precision, accuracy, and velocity are three main indexes to evaluate a nanopositioning system. Different simulated loads are added to test the system performance. Servocontrol parameters of both three input ports and the end effector are optimized using a multiobjective particle swarm optimization algorithm. Experimental results validate the performance of the optimization module and selected parameters. Two parameters optimization approaches are helpful to enhance the performance of a planar parallel 3-DOF nanopositioning system. [ABSTRACT FROM PUBLISHER]

This paper deals with the optimization for performance and cost of the low-power permanent magnet synchronous machines used in automotive applications with focus on particularities of high-volume mass production and the constraints that arise. The described optimization loop is used to compare different 12/8 and 12/10 designs of interior permanent magnet (IPM) type. After showing that the 12/10 IPM exhibits the best performance–cost ratio, results obtained at different stages in the process (i.e., sensitivity analysis and constrained single-/multiobjective optimizations), for both no-load and load case, are provided. Finally, different aspects for reducing the complexity of the multidomain optimization problem (e.g., 3-D effects, iron losses, and effects of tolerances on the motor characteristics) are addressed. [ABSTRACT FROM AUTHOR]

We consider an analytical model of a permanent magnet synchronous generator (PMSG) and formulate a mixed-integer constrained multiobjective optimization problem with six objective functions. We demonstrate the usefulness of solving such a problem by applying an interactive multiobjective optimization method called NIMBUS. In the NIMBUS method, a decision is iteratively involved in the optimization process and directs the solution process in order to find the most preferred Pareto optimal solution for the problem. We also employ a commonly used noninteractive evolutionary multiobjective optimization method called NSGA-II to generate a set of solutions that approximate the Pareto set and demonstrate the advantages of using an interactive method. This study is the first one to consider an interactive approach for the design of a PMSG. Thus, we promote the further usage of interactive multiobjective optimization methods in the design. Further, we see that these methods could also be very useful in the teaching of electrical machines. [ABSTRACT FROM AUTHOR]

This paper sets forth a sizing optimization methodology of a surface permanent magnet machine-converter system over a torque-speed operating profile. The two optimization objectives are to minimize the cost of the machine-converter system and to minimize (or maximize) electrical energy consumption (or generation). The optimization parameters serve to describe both the machine geometry and the electrical ratings of the electronic power converter. Each operating point of the profile is treated independently, and current control is optimized at every operating point to not only minimize machine drive losses but also satisfy several constraints and then implicitly considering flux-weakening possibility. This optimization methodology is generic and is applied to a particular case: a direct-drive conversion chain for a wave energy converter (WEC). We show that taking into account both the sizing parameters of the converter and the flux-weakening control, in addition to the classical sizing parameters of the machine, has a strong impact on the machine-converter system optimal results. Moreover, the strong coupling with the WEC through damping parameters plays also a crucial role on the sizing results. [ABSTRACT FROM PUBLISHER]

In external rotor permanent magnet synchronous motors with non-overlapping windings, the higher frequency harmonics of the radial forces generate considerable resonant vibrations and acoustic noise. Therefore, diversity of spatial and specifically frequency harmonic ordinal numbers of representative slot and pole number combinations are derived analytically with open circuit and under load. Amplitudes of radial force waves are calculated by means of the finite element method and 2-D Fourier analysis. The obtained results confirm the analytical investigation. Determining factors on amplitudes are studied on machines having different slot and pole numbers and double-layer windings. Higher frequency harmonics significantly depend on the pole and tooth shape as well as the current profile. With open circuit, the calculations are validated by experiments. The findings are applied to reduce the noise of a centrifugal fan. [ABSTRACT FROM PUBLISHER]