Study of Canal System Operation Based on PID Neural Network

摘要

An automated irrigation is an important technical measure for water saving irrigation.Because of the characteristics of non-linearity of unsteady flow in open channel,long time lag of dynamic response and time variation involved in canal system operation,water feedback controller based on PID neural network is developed.It is a combination of neural network and PID rule which has both the merits of the two methods such as self-learning and self-adaptive ability,simpleness and high reliability.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 operation system has been constituted and the computer simulation has been carried out.The simulation results prove that the performance of canal system operation controlled by PID neural network control is better than the one controlled by conventional PID control.