基于金豺优化PID的直流电机调速控制系统
DC motor speed control system based on golden jackal optimized PID
李传江 1何鲮 1朱燕飞1
作者信息
- 1. 上海师范大学 信息与机电工程学院,上海 201418
- 折叠
摘要
针对传统直流(DC)有刷电机调速系统适应性不强、抗干扰能力和稳健性差等缺点,设计了基于金豺算法优化比例-积分-微分(PID)的直流有刷电机控制系统.在建立电机数学模型的基础上,将金豺优化(GJO)算法应用于PID参数整定,实现对电机的控制,并分别与传统试凑法、反向传播(BP)-PID算法和麻雀算法(SSA)-PID进行对比.仿真结果表明:所设计的控制算法在调节时间上减少了12 ms,超调量降低了3.689%,受到干扰后的调节时间减少了17 ms,表现出更快的调节转速、更强的抗干扰能力和更好的稳健性,为直流有刷电机调速控制提供了一种有效的方案.
Abstract
Aiming at the disadvantages of the traditional direct current(DC)brush motor speed control system,such as weak adaptability,poor anti-interference ability and robustness,a DC brush motor control system based on golden jackal optimization(GJO)was designed to optimize proportional-integral-derivative(PID).On the basis of the mathematical model of the motor,the GJO algorithm was applied to PID parameter tuning to control the motor,which was compared with the traditional trial-and-error method,back propagation(BP)-PID and sparrow search algorithm(SSA)-PID,respectively.The simulation results showed that the control algorithm designed in this paper reduced the adjustment time by 12 ms and the overshoot by 3.689%,respectively.Besides,the adjustment time after interference was 17 ms faster,showing faster adjustment speed,stronger anti-interference ability and better robustness which provided an effective scheme for the speed control of DC brush motor.
关键词
直流电机/比例-积分-微分(PID)/金豺优化(GJO)算法Key words
direct current motor/proportional-integral-derivative(PID)/golden jackal optimization(GJO)algorithm引用本文复制引用
出版年
2024
NETL
NSTL
万方数据