Intelligent Wheelchair BLDCM Control Based on Fuzzy BP Neural Network
At present,most wheelchair motors still use traditional PID control,which has problems such as low control accuracy,large overshoot and poor anti-disturbance ability.To solve these problems,a fuzzy BP neural network-based control method for Brushless Direct Current Motors(BLDCM)was proposed after stud-ying its control methods.Firstly,the BLDCM structure was studied and a mathematical model was construc-ted.Secondly,a fuzzy BP neural network PID controller was constructed on the basis of the model.Finally,the whole motor control system was built in Matlab/Simulink to simulate the motion control under three dif-ferent working conditions,and compared with the traditional PID control algorithm.The experimental results show that the fuzzy BP neural network PID control strategy can obtain better PID control parameters,have good anti-disturbance ability,and effectively improve the dynamic performance of the entire wheelchair con-trol system.
brushless DC motorPID controlfuzzy BP neural networkMatlab/Simulink
万方数据
维普
