To improve the stability of a two-phase hybrid stepper motor and realize precise control of stepper motor position

a beetle swarm optimization (BSO) improved fuzzy neural network proportional integral derivative (PID) algorithm is proposed. Firstly

the BSO improved fuzzy neural network PID controller is designed on the basis of the mathematical model of the two-phase hybrid stepper motor

and the proper PID parameters are obtained with the BSO algorithm for iterative optimization. Then

the PID parameters are real-time regulated by the fuzzy neural network. Finally

the algorithm is simulated and verified using MATLAB software

and the step response experiments and signal following experiments are carried out on the stepper motor position closed-loop motion platform

respectively. The simulation and experimental results show that compared with the traditional PID algorithm

the BSO-PID algorithm

and the fuzzy neural network PID algorithm

the BSO improved fuzzy neural network PID algorithm effectively improves the system robustness. Meanwhile

the system responds to position commands quickly without overshooting

and has stronger anti-interference ability and better dynamic performance.