Speed Control Method of Permanent Magnet Synchronous Motor optimized by Artificial Bee Colony Algorithm

This paper proposes a speed controller designed based on the principle of model predictive control, and uses an improved artificial bee colony method to adjust the controller parameters. Adding an improved artificial bee colony algorithm to the controller can avoid the tedious parameter tuning process and further improve the robustness of the controller. The controller completes the output of the control quantity in each control cycle, and uses an improved artificial bee colony algorithm to re-adjust the parameters, so that the controller's parameters are optimal under any working conditions. Simulations and experiments have proved the effectiveness of the algorithm and controller.