Torque ripple minimization in switched reluctance motors using adaptive fuzzy control
Torque ripple minimization in switched reluctance motors using adaptive fuzzy control
复制标题
使用自适应模糊控制最小化开关磁阻电机的扭矩脉动
DOI：
10.1109/ias.1997.643125
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发表时间：
1997
期刊：
影响因子：
--
通讯作者：
Iqbal Husain
中科院分区：
文献类型：
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作者：
S. Mir;Malik Elbuluk;Iqbal Husain
本文提出了一种用于最小化开关磁阻电机（SRM）转矩脉动的自适应模糊控制方案。模糊参数最初随机选取，随后进行调整以优化控制。该控制器在电机基速以下能产生平滑的转矩。转矩在电机一相产生最大正转矩的区域内生成。这提高了转矩密度，并避免了高电流峰值。该控制器对转子位置信息中的误差具有较强的鲁棒性，这意味着可以使用成本较低的简易位置传感器。文中给出了详细的仿真和实验结果。在这两种情况下，该控制器均表现出良好的响应。
An adaptive fuzzy control scheme for torque ripple minimization of switched reluctance machines (SRM) is presented. The fuzzy parameters are initially chosen randomly and then adjusted to optimize the control. The controller produces smooth torque upto the motor base speed. The torque is generated over the maximum positive torque producing region of a phase. This increases the torque density and avoids high current peaks. The controller is robust towards errors in the rotor position information which means inexpensive crude position sensors can be used. Detailed simulation and experimental results are presented. The controller shows good response in both cases.