Torque ripple minimization of reluctance synchronous machines by continuous and discrete rotor skewing

2015 ◽  
Author(s):  
T. Hubert ◽  
M. Reinlein ◽  
A. Kremser ◽  
H.-G. Herzog
Keyword(s):  
Torque Ripple ◽  
Synchronous Machines

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 An Analytical Method for Generating Determined Torque Ripple in Synchronous Machines with Surface Magnets by Harmonic Current Injection

Machines ◽  
2020 ◽  
Vol 8 (2) ◽  
pp. 32 ◽  
Author(s):  
Matthias Vollat ◽  
Daniel Hartmann ◽  
Frank Gauterin
Keyword(s):  
Analytical Method ◽  
Electromotive Force ◽  
Permanent Magnets ◽  
Equation System ◽  
Torque Ripple ◽  
Synchronous Machines ◽  
Linear System Of Equations ◽  
Harmonic Currents ◽  
Asymmetrical Power ◽  
Phase Angles

In this paper, we present a new analytical method to calculate the required amplitudes and phase angles of the injected harmonic currents, to generate a determined torque ripple for synchronous machines with surface-mounted permanent magnets. First, we described the machine equations as a function of the phase current and the back electromotive force. We then introduced a new asymmetrical power system. After combining the equations, we established a linear system of equations. The solution of the equation system yielded the amplitudes and phase angles of the harmonic currents to be injected. Finally, we validated the method with several finite element method simulations. With this method, a previously defined torque ripple could be generated very accurately for synchronous machines with surface magnets.

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 Investigation and Experimental Validation of Sideband Harmonic Vibration of IPMSM with and without Skewed Slots for EVs

2021 ◽  
Vol 12 (4) ◽  
pp. 223
Author(s):  
Zhenkang Feng ◽  
Daohan Wang ◽  
Chen Peng ◽  
Wentao Feng ◽  
Bingdong Wang ◽  
...  
Keyword(s):  
Pulse Width Modulation ◽  
High Efficiency ◽  
Torque Ripple ◽  
Synchronous Machines ◽  
Switching Frequency ◽  
Permanent Magnet Synchronous Machines ◽  
Steady State Operation ◽  
Voltage Harmonics ◽  
The Magnetic Field ◽  
Vector Control Strategy

Due to their advantages of high power density and high efficiency, permanent magnet synchronous machines (PMSMs) are widely used in the field of electric vehicles (EVs). Vibration and noise are important indicators for evaluating the performance of PMSMs, and the skewed slot method is now widely used to mitigate the torque ripple and noise of motors. In the vector control strategy, the space vector pulse width modulation (SVPWM) method produces sideband voltage harmonics with a frequency near the switching frequency. These harmonics act on the magnetic field to generate an excitation force with a frequency near the switching frequency. This paper compares and analyzes the sideband harmonic current and the exciting force of a skewed slot motor and a straight slot motor during steady-state operation. The research results show that the skewed slot method can effectively mitigate the vibration and noise caused by sideband harmonics.

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