Design of the self-adaptive sliding mode position controller based on genetic algorithm optimization for the servo motor drive system

The self-adaptive sliding mode position controller based on genetic algorithm optimization is designed for the servo motor drive system. Firstly, the self-adaptive sliding mode position controller is researched to estimate the magnitude of the unknown disturbance in the perturbed system. Then, the adaptive genetic algorithm is used to optimize the ideal adaptive parameters and switching parameters. In the end of the paper, several simulation experiments are carried out to test the performance of the system. The results show that the adaptive genetic algorithm has better control performance and position tracking response for the system parameter variation and external load disturbance.