Sun Xiaodong, Xiong Yefei, Yao Ming, Tang Xingtao, Tian Xiang
Automotive Engineering Research Institute, Jiangsu University, Zhenjiang 212013, China.
Automotive Engineering Research Institute, Jiangsu University, Zhenjiang 212013, China.
ISA Trans. 2022 Dec;131:662-671. doi: 10.1016/j.isatra.2022.05.013. Epub 2022 May 21.
This paper proposes a unified control method based on an improved grey wolf optimization algorithm to improve the performance of the switched reluctance motors (SRMs) to cope with various operating conditions. Compared with the single control mode of traditional SRMs, an SRM with 12/10 poles is called a multimode switched reluctance motor, which can be used not only as a six-phase motor but also as a three-phase motor. The control method proposed is based on a 12/10 pole SRMs. In the TSRM mode, an improved torque sharing function with parameters is utilized to reduce torque ripple and widen the speed range. In the SSRM mode, the linear active disturbance rejection control (LADRC) method is used to increase the anti-interference ability of the system. For the switching modes, an improved gray wolf optimization algorithm is designed to ensure smooth switching. The global optimal solution is obtained by introducing the coyote group to avoid falling into the local optimal solution. Finally, the experimental results prove the effectiveness of the control method.
本文提出了一种基于改进灰狼优化算法的统一控制方法，以提高开关磁阻电机（SRM）在各种运行条件下的性能。与传统SRM的单一控制模式相比，具有12/10极的SRM被称为多模式开关磁阻电机，它不仅可以用作六相电机，还可以用作三相电机。所提出的控制方法基于12/10极的SRM。在TSRM模式下，利用一种带参数的改进转矩分配函数来降低转矩脉动并拓宽速度范围。在SSRM模式下，采用线性自抗扰控制（LADRC）方法来提高系统的抗干扰能力。对于切换模式，设计了一种改进的灰狼优化算法以确保平滑切换。通过引入郊狼群体来避免陷入局部最优解，从而获得全局最优解。最后，实验结果证明了该控制方法的有效性。
