Simulation Research on Steering Electromotor Control for Electric Pallet Truck Based on Fuzzy Adaptive PID
According to the mathematical model of brushless DC motor (BLDCM), control equations of BLDCM speed control system and simulation model were established for steering control device in electric pallet truck based on transfer function in Matlab/Simulink. The fuzzy adaptive PID control method was introduced to speed control system, and it can realize PID parameter’s online adjustment. Simulation result shows that the designed speed controller based on fuzzy adaptive PID has better dynamic and static performance than the controller based on traditional PID, and the control accuracy is also greatly improved.
Di Zheng, Yiqiang Wang, Yi-Min Deng, Aibing Yu and Weihua Li
L. S. Shu and G. P. Li, "Simulation Research on Steering Electromotor Control for Electric Pallet Truck Based on Fuzzy Adaptive PID", Applied Mechanics and Materials, Vols. 101-102, pp. 564-568, 2012