Research On Speed Control System Of Unmanned Marine Small Permanent Magnet Synchronous Motor Based On IABC And Fuzzy PID Compound Control

Controlling a small permanent magnet synchronous motor for unmanned boats with a traditional PID controller will result in poor control. The IABC algorithm is an improved algorithm based on the ABC algorithm using differential evolution algorithm, which has better optimization ability and can be used to optimize the speed control system of small permanent magnet synchronous motor for unmanned ship in combination with fuzzy control. In this paper, we try to optimize the quantization factor, scaling factor and initial parameters of fuzzy controller with IABC algorithm to optimize the speed control system of small permanent magnet synchronous motor for unmanned ships. A Simulink simulation model is built on the basis of the double closed-loop model of the permanent magnet synchronous motor and the simulation results are analyzed. The simulation results show that the small permanent magnet synchronous motor for unmanned ships with IABC algorithm and fuzzy PID composite control will be more stable and faster response speed in terms of speed, torque, and three-phase current output compared with the traditional double closed-loop model.