The Neural Network PID Controller And Dynamic Simulation Of The Canal System

Many large projects for water-transportation have been built, such as the project of Dong-Shen water transfers in the stage of constructing and the project of south-to-north water transfers in the stage of programming. But how can we make full use of the projects? An ideal water-supply system should supply proper amount of water at proper time at the outlet. If a demand-canal was built to keep the status of ready- supply all the time, the not pre-assigned needs of water then can be satisfied. This is the just object of canal automation.In the traditional canal PID control a key problem is how to conform the parameter of PID.The traditional way is conforming the parameter for the fundamental at the base of getting the mathematic model of the control object. But the actual canal system is a very complex non-linear unsure system. It is very difficult to establish a accurate mathematic model. Furthermore the parameters of the model change along with the working statue. Especially for the canal system of the multieach canals, it is integrant to adopt different parameters for each canal to get good control effect. But each parameter affects each other, it is very difficult to conform each parameter. And even getting the best parameters for a work status, but the canal system is up-and down, it is difficult to getting the best parameter for all work status. So it is very necessary to conform the parameters not depending on the canal mathematics model.In the thesis the theory class and the late-model control arithmetic is summarized in the round.Adhibiting the nerve cell and qurdratic capability target, by the self-adapting self-studying consistent and better abiding of the nerve cell ,the thesis realizes the conforming of the parameter not depending the canal mathematics ,furthermore the parameter can self-adjust for the information of the canal(water level flux).Combining the BP nets and the routine PID controller, and adhibiting the linear optimization target function, the thesis realizes the conforming of the parameter not depending the canal mathematics, furthermore the parameter can self-adjust for the information of the canal. Using the MATLAB the thesis simulates and acquires some significative effects.