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Study on Canal System Operation Controlled by PID Neural Network

YAO Xiong,WANG Chang-de,DING Zhi-liang(State Key Laboratory of Water Resources and Hydropower Engineering Science,Wuhan University,Wuhan 430072,China)  
Canal system has the characteristics of non-linearity,long time lag of dynamic response and time variation.Neural network is just good at dealing with nonlinear and uncertain systems,so a water feedback controller based on PID neural network was developed.It has both the merits of PID rule and neural network such as simpleness and high reliability,self-learning and selfadaptive ability.Furthermore,the control parameters can be integrated not depending on the canal mathematical model and can be adjusted according to the real-time information of the canal system.Based on canal hydraulics characteristics,a mathematical model of canal system was constituted and the computer simulation was carried out.The simulation results prove that the performance of canal system operation controlled by PID neural network control is better than that controlled by conventional PID control.
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