Fuzzy Iterative Learning Control of Ring Permanent Magnet Torque Motor

摘要：

Torque ripples which exist in ring permanent magnet torque motors (RPMTM) seriously deteriorate the drive performance of system at low speeds. In view of the periodic nature of torque ripples, adopt fuzzy iterative learning control (F-ILC) controller to minimize torque ripples. It records the torque error and the compensating reference current of last cycle to update the compensating reference current of this cycle. F-ILC controller tunes the learning gain according to the magnitude and the change of the torque error so as to improve the convergence rate of learning controller and reduce the steady-state torque error. The prerequisite for the proposed F-ILC controller is the torque error information, so a disturbance observer is designed. Simulation results show significant improvements in the steady-state torque response and the effectiveness in minimizing torque ripples.

关键词： ring permanent magnet torque motors (RPMTM) torque ripples fuzzy iterative learning control disturbance observer

作者: Yi-biao Sun Guang-xin Liu Cheng-yuan Wang Jia-kuan Xia

作者单位: School of Electric Engineering Shenyang University of Technology Iiaoning, Shenyang, China

会议类型: 国际会议

会议名称: 2010 International Conference on Digital Manufacturing and Automation(2010 数字制造与自动化国际会议 ICDMA 2010)

会议地点: 长沙

会议语种:英文

页码: 760-764

在线出版日期: 2010-12-18（万方平台首次上网日期，不代表论文的发表时间）