Intelligent neuro-fuzzy based predictive control of a continuous stirred tank reactor

Authors:
Mahdi Jalili-Kharaajoo;Farzad Habibipour Roudsari
Affiliations:
Young Researchers Club, Islamic Aazd University, Tehran, Iran;Young Researchers Club, Islamic Aazd University, Tehran, Iran
Venue:
ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part III
Year:
2005

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Abstract

In this paper, a predictive control strategy based on neuro-fuzzy (NF) model of the plant is applied to Continuous Stirred Tank Reactor (CSTR). An optimizer algorithm based on evolutionary programming technique (EP) uses the identifier-predicted outputs and determines input sequence in a time window. Using the proposed neuro-fuzzy predictive controller, the performance of Ph tracking problem in a CSTR process is investigated.