Wheel Hub Motor Control Based on Second-performance Learning Algorithm Single Neuron Adaptive PID

A single neuron proportional-integral-derivative (PID) controller based on second-performance index learning algorithm was designed to address the problems of long adjustment time and weak robustness ability of traditional PID controllers during the operation of electric vehicle wheel hub motors. Simulation experiments were conducted on the vector control system of wheel hub permanent magnet synchronous motors (PMSM) in MATLAB/Simulink environment. The simulation results show that the permanent magnet synchronous motor control system based on second-performance learning algorithm single neuron PID has improved response speed and robustness, significantly reduced steady-state error and overshoot. The system has good stability and anti-interference ability, and can achieve good control effects.