基于BP神经网络的PID控制器在渠道自动控制中的应用

Application of neural network PID controller in canal operation system

本文提出将基于BP神经网络的PID控制器应用于渠道自动控制中,实现了渠道PID控制中参数的整定不依赖于渠道数学模型,且能在线依据渠道系统的动态信息调整PID参数,满足了实时控制的要求。应用Matlab软件的仿真结果表明,采用基于BP神经网络PID控制器比常规PID控制,渠道的运行响应加快,水位超调减小,适应性增强,闸门的性能得到较大改善。

The PID controller based on neural network theory is design for operation of serial canal system.The effectiveness of the controller is verified by the numerical simulation of the entire procedure of control for a typical canal system.The result shows that the proposed controller has better self-adaptive and self-adjust performances than conventional PID controller.So that good dynamic quality of the regulation system can be ensured.