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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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Article Details
Issue: Vol 13 No 1 (2010)
Page No.: 16-23
Published: Mar 30, 2010
Section: Engineering and Technology - Research article
DOI: https://doi.org/10.32508/stdj.v13i1.2064
Copyright Info
Copyright: The Authors. This is an open access article distributed under the terms of the Creative Commons Attribution License CC-BY 4.0., which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
How to Cite
Tran, T., & Phan, M. (2010). MODEL PREDICTIVE CONTROL BASED ON FUZZY SYSTEM, APPLICATION FOR A CONTINUOUS STIRRED TANK REACTOR (CSTR). Science and Technology Development Journal, 13(1), 16-23. https://doi.org/https://doi.org/10.32508/stdj.v13i1.2064
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