Fuzzy predictive control strategy of permanent magnet linear synchronous motor

In order to solve the problem that the actual current cannot closely follow the given current or the predicted output voltage fluctuates too much due to the unreasonable selection of the weight coefficient when the model predictive control seeks the optimal control variable, a model predictive control method based on fuzzy control dynamically selecting weight coefficients was proposed. Fuzzy control was applied to the selection of the weight coefficient, and the optimal weight coefficients can be sent to the currently running model predictive control system online. Three groups of experiments were conducted for the simulation, comparison and analysis of different weight coefficients, and the reasonable interval of the weight coefficient was obtained. The simulation results show that the weight coefficient based on fuzzy control has good performance. When the load change is severe, the robustness of the motor is well, and the current can closely follow the given current; When the load change is gentle, the output voltage fluctuation will be reduced under the condition that the current can follow the given current. The improved control system improves the anti-disturbance ability, and the weight coefficient can be changed automatically according to the actual demand, which provides some reference for the control design of permanent magnet linear synchrous motor.