Research on Control System for Sluice Gate Flow Based on Fuzzy Neural Network PID

Guo Huan Lou; Kang Wei Li

doi:10.4028/www.scientific.net/AMM.198-199.1779

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 198-199Research on Control System for Sluice Gate Flow...

Research on Control System for Sluice Gate Flow Based on Fuzzy Neural Network PID

Abstract:

The control of water level and flow for channel irrigation system has nonlinear, time-varying and uncertainty characteristics. It is difficult to get satisfactory effect with traditional PID control. Aim at these features, this paper introduces a control method based on fuzzy neural network PID. This method both has advantage of PID control and has ability of fuzzy neural network self-learning and processing quantitative data. The control method can adjust the parameters of gate flow on-line quickly and efficiently and has good control effect and precision. The simulation results show the validity and correctness of the control method.

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Periodical:

Applied Mechanics and Materials (Volumes 198-199)

Pages:

1779-1782

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.198-199.1779

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Online since:

September 2012

Authors:

Guo Huan Lou, Kang Wei Li

Keywords:

Flow Control, Fuzzy Neural Network (FNN), Sluice

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