Abstract:Aiming at the problems of strong coupling, strong interference, nonlinearity and uncertainty in the permanent magnet synchronous motor (PMSM) control system used in flotation machines in large mines, a sliding mode control method of PMSM used in the flotation machine based on adaptive evolutionary particle swarm optimization (AEPSO) algorithm was proposed. Firstly, the engineering background is introduced and the torque mathematical model of PMSM for large flotation machine is established. Secondly, the structure of the sliding mode controller is deduced by designing the non-singular terminal sliding mode surface and the exponential reaching law control law, and the performance parameters of the sliding mode controller are optimized by the AEPSO algorithm. Thirdly, the electromagnetic torque control under this control method is studied by Simulink simulation. The results show that, compared with PID control and traditional sliding mode control methods, the sliding mode control method optimized by AEPSO algorithm greatly improves the control performance of PMSM and meets the application requirements of flotation machines in large mines. Finally, the feasibility of the proposed method is verified through the engineering test at Jiangxi Wushan Copper Mine. In addition, the control method has strong versatility and flexibility, and its design ideas, simulation analysis and experimental experience provide reference for researchers in the field of motor control.