【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.更多还原

【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.更多还原