scholarly journals GA Optimization for Regression Modeling of Electromagnetic Performances Predicted by a Subdomain Model for SMPMSM in an Electric Vehicle

2022 ◽  
Vol 12 (1) ◽  
pp. 73
Author(s):  
Syauqina Akmar Mohd-Shafri ◽  
Tow Leong Tiang ◽  
Choo Jun Tan ◽  
Dahaman Ishak ◽  
Mohd Saufi Ahmad
Keyword(s):  
Motor Performance ◽  
Nonlinear Modeling ◽  
Torque Ripple ◽  
Analytical Models ◽  
Synchronous Machines ◽  
Design Parameters ◽  
Permanent Magnet Synchronous Machines ◽  
Electric Car ◽  
Proposed Model ◽  
Best Fit

This paper investigates a nonlinear modeling optimization of 12s/8p surface-mounted permanent magnet synchronous machines (SMPMSM) with a radial magnetization pattern. The modeling is based on subdomain model (SDM) computation, where the analytical models are developed to predict the electromagnetic (EM) performances, such as, average EM torque and EM torque ripple in PM machines. A genetic algorithm is applied to the proposed model in order to search for the optimal solutions. The objective function of the optimizations is obtaining a higher average EM torque and achieving the minimum EM torque ripple. The data, viz, and the average EM torque and its ripples predicted by SDM are employed in regression analysis in order to find the model of best fit. After that, the most suitable fit of the computing equation is selected. The preliminary and optimal designs of 12s/8p PM motors are also compared in terms of parameters and motor performance. As a result, the regression model and GA framework has reduced the use of magnet materials and the EM torque ripple of the SMPMSM, making it ideal for use in an electric car. Lastly, the proposed model can determine the appropriate configuration design parameters for SMPMSM in order to achieve the best motor performance.

scholarly journals Predictive Trajectory Control with Online MTPA Calculation and Minimization of the Inner Torque Ripple for Permanent-Magnet Synchronous Machines

Energies ◽  
2020 ◽  
Vol 13 (20) ◽  
pp. 5327
Author(s):  
Simon Decker ◽  
Matthias Brodatzki ◽  
Benjamin Bachowsky ◽  
Benedikt Schmitz-Rode ◽  
Andreas Liske ◽  
...  
Keyword(s):  
Permanent Magnet ◽  
Real Time ◽  
Control Period ◽  
Torque Ripple ◽  
Trajectory Control ◽  
Synchronous Machines ◽  
Permanent Magnet Synchronous Machines ◽  
Flux Linkage ◽  
Maximum Torque ◽  
Dynamic Operation

This paper presents an extended predictive trajectory control scheme combined with an inner torque ripple minimization considering the current-, flux-linkage-, and voltage-planes of permanent magnet synchronous machines. The extension of a fundamental machine model with flux-linkage harmonics allows the calculation of the inner torque ripple and enables its minimization. For this, the control is divided in two cases: (1) The dynamic operation or large signal behavior which uses the maximal torque gradient for the trajectory strategy during each control period for fastest dynamic operation, and (2) The stationary operation or small signal behavior, utilizing a real time capable polynomial approximation of the rotor position dependent torque hyperbolas (iso-torque curves) of permanent magnet synchronous machines for the ideal torque to current reference values. Since dynamic and steady-state operation is covered, torque to current look-up tables, such as maximum torque per ampere (MTPA)/maximum torque per volt/voltage (MTPV) look-up tables, are not required anymore. The introduced, new control approach is implemented in Matlab/Simulink based on finite element analysis and measured data. Furthermore, test-bench implementations based on measurement data are presented to show the real-time capability and precision.

scholarly journals Comparison of Three Analytical Methods for the Precise Calculation of Cogging Torque and Torque Ripple in Axial Flux PM Machines

2016 ◽  
Vol 2016 ◽  
pp. 1-14 ◽  
Author(s):  
Ahmed Hemeida ◽  
Bert Hannon ◽  
Hendrik Vansompel ◽  
Peter Sergeant
Keyword(s):  
Permanent Magnet ◽  
Lateral Force ◽  
Torque Ripple ◽  
Analytical Models ◽  
Permanent Magnet Synchronous Machines ◽  
Axial Flux ◽  
Cogging Torque ◽  
Precise Calculation ◽  
Analytical Tools ◽  
2D And 3D

A comparison between different analytical and finite-element (FE) tools for the computation of cogging torque and torque ripple in axial flux permanent-magnet synchronous machines is made. 2D and 3D FE models are the most accurate for the computation of cogging torque and torque ripple. However, they are too time consuming to be used for optimization studies. Therefore, analytical tools are also used to obtain the cogging torque and torque ripple. In this paper, three types of analytical models are considered. They are all based on dividing the machine into many slices in the radial direction. One model computes the lateral force based on the magnetic field distribution in the air gap area. Another model is based on conformal mapping and uses complex Schwarz Christoffel (SC) transformations. The last model is based on the subdomain technique, which divides the studied geometry into a number of separate domains. The different types of models are compared for different slot openings and permanent-magnet widths. One of the main conclusions is that the subdomain model is best suited to compute the cogging torque and torque ripple with a much higher accuracy than the SC model.

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