Abstract：Aiming at the instability, non-linearity and parameter incertitude of the active magnetic bearing (AMB), this paper proposes an adaptive PID controller based on BP neural networks. Containing the non-linear combination of proportional, integral and differential signals, the output of this controller compensates the non-linearity of AMBs and makes the control effect better. At the same time, this controller can self-tune, which avoids the difficulty of tuning the parameter in the traditional PID controller. The simulation result of an AMB system indicates the validity of the proposed controller.
收稿日期: 2004-03-25
引用本文:
苏义鑫 龙祥 张丹红 胡业发. 主动磁轴承的神经网络自适应PID控制[J]. , 2004, 43(3): 0-0.
苏义鑫 龙祥 张丹红 胡业发. Neural network adaptive PID control of active magnetic bearings. , 2004, 43(3): 0-0.
