Suzhou Electric Appliance Research Institute
期刊号: CN32-1800/TM| ISSN1007-3175

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基于模糊自适应PID的SRM直接转矩控制系统研究

来源:电工电气发布时间:2024-07-03 08:03 浏览次数:25

基于模糊自适应PID的SRM直接转矩控制系统研究

王雷,高亨,崔玉鑫,王育安,吴建昆
(河北科技大学 电气工程学院,河北 石家庄 050000)
 
    摘 要:针对传统模糊控制器在控制过程中存在超调量大、控制精度不高以及静差等问题,提出了一种基于优化模糊自适应 PID 的开关磁阻电机控制方法。利用改进蝙蝠算法对模糊控制器进行优化,以外环模糊自适应 PID 控制器的输出变量为内环控制系统的参考转矩,送入直接转矩控制系统。仿真结果表明,经过算法优化的模糊自适应 PID 控制器在动态性能和鲁棒性方面明显优于传统模糊 PID 控制器,成功克服了模糊控制中存在的稳态误差和抗干扰能力不足的问题,有效解决了系统上升时间和超调之间的矛盾,同时显著减少了电机转矩的脉动。
    关键词: 开关磁阻电机;模糊自适应PID ;改进蝙蝠算法;直接转矩控制
    中图分类号:TM352 ;TP273+.2     文献标识码:A     文章编号:1007-3175(2024)06-0023-06
 
Research on SRM Direct Torque Control System Based on
Fuzzy Adaptive PID
 
WANG Lei, GAO Heng, CUI Yu-xin, WANG Yu-an, WU Jian-kun
(School of Electrical Engineering, Hebei University of Science and Technology, Shijiazhuang 050000, China)
 
    Abstract: Aiming at the traditional fuzzy controllers in the control process, there were problems such as large overshoot, low control accuracy and static error, a switching reluctance motor control method based on optimize fuzzy adaptive PID was presented. The fuzzy controller was optimized by using improved bat algorithm, and the output variables of the outer loop fuzzy adaptive PID controller is the reference torque of the inner loop control system, which is sent to the direct torque control system. The simulation results showed that the algorithm-optimized fuzzy adaptive PID controller is significantly better than the traditional fuzzy PID controllers in dynamic performance and robustness. It successfully overcomed the problems of steady-state errors and insufficient anti-interference capabilities in fuzzy control, and effectively solved the contradiction between the system rise time and overshoot, and at the same time significantly reduced the pulse of the motor torque.
    Key words: switched reluctance motor; fuzzy adaptive PID; improved bat algorithm; direct torque control
 
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