Research on Self-Tuning Control System of PMSLM Based on Improved Genetic Algorithm

For the control system of the permanent magnet synchronous linear motor (PMSLM), the PID parameter tuning process is reliant on manual experience, cumbersome, and prone to local optimization issues. The Genetic Algorithm (GA) is employed for automatic PID parameter tuning. To mitigate motion overshoot resulting from the GA algorithm's random parameter assignment, a PD parameter tuning rate is introduced to enhance system dynamic performance during tuning. The proposed improvement is then compared with a commonly used control scheme on the PMSLM experimental platform. Experimental results demonstrate the superior dynamic performance of the proposed calibration scheme in terms of system overshoot, response speed, and tracking error. Additionally, it proves applicable under various loading conditions, enhancing its practicality.