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The four tank water neural network predictive control

Author: HeDi
Tutor: SunDeHui；LiZhiJun；DongZhe
School: North China University of
Course: Detection Technology and Automation
Keywords: Neural Networks Generalized Predictive Control Fuzzy Decoupling Four tank water
CLC: TP273
Type: Master's thesis
Year: 2011
Downloads: 90
Quote: 0
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Abstract


In modern industrial control , often encounter with an unknown model objects , such objects are mostly multivariable and strong coupling characteristics , some also have a large delay characteristics . Four tank water is a typical nonlinear , time delay and strong coupling system , it can be a good analog industrial complex objects . In this paper, the mechanism of the four - volume tank model to study the control problem , the proposed neural network predictive control strategy with fuzzy decoupling . First, the structure of generalized predictive control based on neural network theory and NGPC algorithm which the application convergence speed , accuracy higher LM algorithm to train the neural network , the derivative of the equation derived neural network , and then using the iterative method for solving the input u Jacobian matrix and Hessian matrix followed by Newton-Raphson algorithm for solving u . Secondly, the fuzzy control theory and fuzzy feedforward decoupling given concrete block diagram of the decoupling strategy proposed fuzzy decoupling output coefficients and fuzzy decoupling effect coefficient , and then based on the structural characteristics of the four - volume tank column two equations derived the two coefficients calculated so that it can be carried out online calculation . Finally, the control experiments , and control the results of a comparative analysis of the model for the mechanism of four tank water . The experimental results show that the neural network predictive control with fuzzy decoupling this control strategy , and achieved good results in the control of multi- variable , strong coupling and the time delay of four tank water . Adjustment time is short , the process is no obvious shock , the final value of the stable . Adjustable set point range and change the set point without having to change any parameters , the system manual intervention is small, has a strong robustness .

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CLC: > Industrial Technology > Automation technology,computer technology > Automation technology and equipment > Automation systems > Automatic control,automatic control system
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