| 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. |
| 关键词: 直流电机 比例-积分-微分(PID) 金豺优化(GJO)算法 |
| DOI：10.3969/J.ISSN.1000-5137.2024.02.006 |
| 分类号:TP273;TH134 |
| 基金项目: |
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| DC motor speed control system based on golden jackal optimized PID |
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LI Chuanjiang, HE Ling, ZHU Yanfei
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College of Information, Mechanical and Electrical Engineering, Shanghai Normal University, Shanghai 201418, China
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| 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. |
| Key words: direct current motor proportional-integral-derivative (PID) golden jackal optimization (GJO) algorithm |
