YU Qiong-xia, WANG Fu-zhong. Design of Speed-regulation System of PMLSM Based on BP Neural Network PID Control[J]. Journal of Mine Automation, 2011, 37(5): 34-37.
Citation: YU Qiong-xia, WANG Fu-zhong. Design of Speed-regulation System of PMLSM Based on BP Neural Network PID Control[J]. Journal of Mine Automation, 2011, 37(5): 34-37.

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

  • For characteristics of nonlinearity, time-varying volatility and nonstationarity to disturbance of hoisting system of 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 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.
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