DC motor speed control system based on golden jackal optimized PID
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.
direct current motorproportional-integral-derivative(PID)golden jackal optimization(GJO)algorithm
NETL
NSTL
万方数据
