Application of Multivariable Fuzzy Predictive Control in AGC-AFC

Wu Gang; Sun Yikang

doi:10.13374/j.issn1001-053x.1999.04.024

Volume 21 Issue 4

Aug. 2021

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Article Navigation > Chinese Journal of Engineering > 1999 > 21(4): 403-405

Wu Gang, Sun Yikang. Application of Multivariable Fuzzy Predictive Control in AGC-AFC[J]. Chinese Journal of Engineering, 1999, 21(4): 403-405. doi: 10.13374/j.issn1001-053x.1999.04.024

Citation:

Wu Gang, Sun Yikang. Application of Multivariable Fuzzy Predictive Control in AGC-AFC[J]. Chinese Journal of Engineering, 1999, 21(4): 403-405. doi: 10.13374/j.issn1001-053x.1999.04.024

Wu Gang, Sun Yikang. Application of Multivariable Fuzzy Predictive Control in AGC-AFC[J]. Chinese Journal of Engineering, 1999, 21(4): 403-405. doi: 10.13374/j.issn1001-053x.1999.04.024

Citation:

Wu Gang, Sun Yikang. Application of Multivariable Fuzzy Predictive Control in AGC-AFC[J]. Chinese Journal of Engineering, 1999, 21(4): 403-405. doi: 10.13374/j.issn1001-053x.1999.04.024

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Application of Multivariable Fuzzy Predictive Control in AGC-AFC

doi: 10.13374/j.issn1001-053x.1999.04.024

Wu Gang,
Sun Yikang

Research Institute of Automatic Control, UST Beijing, Beijing 100083, China

Received Date: 1998-11-08
Available Online: 2021-08-27

Abstract

Abstract

Amid at AGC-AFC, a multivariable fuzzy predictive control based on genetic algorithm is proposed. Fuzzy model of multivariable system is founded by means of fuzzy prediction. A new algorithm for parameter identification is given. And genetic algorithm is used to obtain the optimun control law.The simulation result shows that this method has good effectiveness.
- fuzzy model,
- genetic algorithm,
- AGC-AFC