基于鲸鱼算法的开关磁阻电机PID参数整定  

Research on PID Parameter Tuning of Switch Reluctance Motor Based on Whale Optimization Algorithm

作　　者：韦润通 王智冲 李学琪 WEI Runtong;WANG Zhichong;LI Xueqi(School of Mechanical and Equipment Engineering,Hebei University of Engineering,Handan 056038,China)

机构地区：[1]河北工程大学机械与装备工程学院,河北邯郸056038

出　　处：《电子科技》2025年第4期59-65,共7页Electronic Science and Technology

基　　金：国家自然科学基金(11872044)。

摘　　要：针对开关磁阻电机PID(Proportional Integral Derivative)控制中存在的稳定性差、参数调节困难等问题,文中基于传统开关磁阻电机PID调速系统引入鲸鱼优化算法,将改进时间绝对误差函数作为适应度函数对K_(p)、K_(i)、K_(d)这3个控制参数进行整定。在MATLAB/Simulink仿真平台搭建了三相6/4极开关磁阻电机的PID参数整定系统,分析了传统经验PID调参和算法整定参数的效果对比,并将鲸鱼算法的优化效果与粒子群算法、遗传算法和灰狼优化算法结果进行对比。仿真结果表明,所提方法获得的PID参数较精确,其效果优于3种对比算法。相比于经验法整定参数,鲸鱼算法整定参数响应速度提升了51.10%,误差减小了0.67%,使调速系统具有更快、更稳定的响应特性。In view of the problems of poor stability and difficult parameter adjustment in switched reluctance motor PID(Proportional Integral Derivative)controller,the whale optimization algorithm is introduced based on traditional switched reluctance motor controller,and improved integral time absolute error function is used as fitness function to adjust three control parameters of K_(p),K_(i)and K_(d).A parameter tuning system of three-phase 6/4-pole switched reluctance motor is built on MATLAB/Simulink simulation platform.The effect of traditional empirical parameter tuning algorithm is analyzed and compared with the results of particle swarm optimization,genetic algorithm and gray wolf optimization.The simulation results show that the PID parameters obtained by the proposed method are more accurate and its effect is better than the three comparison algorithms.Compared with the empirical method,the response speed of the whale algorithm is increased by 51.10%,and the error is reduced by 0.67%,which makes the speed control system have faster and more stable response characteristics.

关 键 词：开关磁阻电机 双闭环系统 PID控制 改进ITAE函数 鲸鱼算法 Simulink 参数整定 响应特性 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]