Abstract：A torque controller using iterative learning control (ILC) is proposed to reduce torque ripple of switched reluctance motor (SRM). The designed controller based on ILC doesnot need to know accurate model and parameters of SRM and its algorithm is simple. A simulation model of switched reluctance motor drive(SRD) based on ILC and a SRD experimental system using ILC technology and TM320F2812 are established. Both simulation and experimental results on designed controller for a 8/6 prototype SRM validate the effectiveness of torque minimization using ILC.
潘再平, 罗星宝. 基于迭代学习控制的开关磁阻电机转矩脉动抑制[J]. 电工技术学报, 2010, 25(7): 51-55.
Pan Zaiping, Luo Xingbao. Torque Ripple Minimization of Switched Reluctance Motor Based on Iterative Learning Control. Transactions of China Electrotechnical Society, 2010, 25(7): 51-55.
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2010, Vol. 25 
