Design of Speed-regulation System of PMLSM Based on BP Neural Network PID Control

Design of Speed-regulation System of PMLSM Based on BP Neural Network PID Control

Blog Article

For characteristics of nonlinearity, time-varying volatility and nonstationarity to disturbance of hoisting system of Cocktail Shaker PMLSM, an improved PMLSM speed-regulation system was designed on basis of established PMLSM d-q axis dynamic mathematical model and BP neural network PID control.The system modifies the fixed learning rate in BP neural network to a self-adaptive one, and adds momentum to reduce oscillation Electronic Keyboard tendency in learning process, so it greatly improves convergence speed and avoid that network falls into a local minimum.The simulation result showed that using the improved BP neural network PID controller can make PMLSM speed-regulation system reduce adjusting time and overshoots greatly and accelerat response speed, and make the hoist system have better dynamic performance and robustness.