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The Application of Fuzzy Neural Network Generalized Predictive Control in Unit Plant Coordinated Control System

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Abstract:

The characteristic of unit coordinated control in thermal power plants having complex, nonlinear, larger time delay, and establishing mathematical models are very difficult. In the paper establish mathematical models of using fuzzy neural network system, make full use of the ability of fuzzy logic reasoning and neural network self-learning; using multivariable generalized predictive control strategy, Simulation results show that the use of fuzzy neural network generalized predictive control for good stability of main steam pressure , strong effectiveness of tracking the power grid load, and little fluctuation of different load conversion.

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Info:

Periodical:

Applied Mechanics and Materials (Volumes 602-605)

Pages:

1329-1331

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.602-605.1329

Citation:

Cite this paper

Online since:

August 2014

Authors:

Shu Zhang*, Hu Jun Ling, Zhen Lin Zhang, Meng Jie Hu, Yang Pang

Keywords:

Coordinated Control System, Fuzzy Neural Network (FNN), Generalized Predictive Control, MATLAB Simulation

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* - Corresponding Author

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