A Mathematical Torque Ripple Minimization Technique Based on a Nonlinear Modulating Factor for Switched Reluctance Motor Drives

被引:41
作者
Rana, Ashwani Kumar [1 ]
Teja, A. V. Ravi [1 ]
机构
[1] Indian Inst Technol Ropar, Dept Elect Engn, Rupnagar 140001, India
关键词
Field-programmable gate arrays (FPGA); nonlinear modulating factor; switched reluctance motor (SRM); torque control; torque ripple; torque sharing function; SHARING FUNCTION; SRM; REDUCTION; DESIGN;
D O I
10.1109/TIE.2021.3063871
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This article presents a method to reduce the torque ripple in an 8/6 four-phase switched reluctance motor (SRM). The proposed scheme introduces a nonlinear modulating factor dependent on the rotor position and magnitude of the phase currents. This factor manipulates the currents in two adjacent phases during commutation and reduces the torque ripple effectively. Unlike the conventionally available torque-sharing functions, the proposed method instantaneously modulates every phase current obtained mathematically based on the other phase current in order to maintain the net torque constant. The proposed method requires minimal offline analysis and offers maximum possible torque with a minimal ripple. The method is simple and easy to implement due to a low computational burden. The proposed algorithm is implemented using MAT-LAB/Simulink software and is also validated experimentally on a 0.6-hp 8/6 SRM using a field-programmable-gatearrays-based hardware setup developed in the laboratory. Typical results are presented and compared with the existing techniques. A torque ripple of approximate to 8% has been achieved.
引用
收藏
页码:1356 / 1366
页数:11
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