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MODEL PREDICTIVE CONTROL BASED ON FUZZY SYSTEM, APPLICATION FOR A CONTINUOUS STIRRED TANK REACTOR (CSTR)

Tuan Quang Tran 1, 1, 1, 1, 1, 1, 1, 1, *
Minh Xuan Phan 2
  1. Ministry of Science and Technology
  2. HaNoi University of Technology
Correspondence to: Tuan Quang Tran, Ministry of Science and Technology; Ministry of Science and Technology; Ministry of Science and Technology; Ministry of Science and Technology; Ministry of Science and Technology; Ministry of Science and Technology; Ministry of Science and Technology; Ministry of Science and Technology. Email: pvphuc@hcmuns.edu.vn.
Volume & Issue: Vol. 13 No. 1 (2010) | Page No.: 16-23 | DOI: 10.32508/stdj.v13i1.2064
Published: 2010-03-30

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Copyright The Author(s) 2023. This article is published with open access by Vietnam National University, Ho Chi Minh city, Vietnam. This article is distributed under the terms of the Creative Commons Attribution License (CC-BY 4.0) which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited. 

Abstract

The paper presents one method to design the Model Predictive Controller based on Fuzzy Model. The Plant is simulated by Takagi-Sugeno Fuzzy Model and the Optimisation Problem is solved by the Genetic Algorithms. By using the Fuzzy Model and Genetic Algorithm this MPC gives better quality than the other General Predictive Controllers. The case study of a continuous stirred tank reactor (CSTR) control is presented in this paper.

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