American Journal of Electrical and Computer Engineering
Volume 3, Issue 1, June 2019, Pages: 46-52
Received: May 27, 2019;
Accepted: Jun. 20, 2019;
Published: Jul. 8, 2019
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Cuong Nguyen Cong, Department of Electrical Engineering, Hanoi University of Industry, Hanoi, Vietnam
Nghia Nguyen Anh, Department of Electro Mechanics, Hanoi University of Mining and Geology, Hanoi, Vietnam
Chuong Trinh Trong, HaUI Institute of Technology, Hanoi University of Industry, Hanoi, Vietnam
Nghien Nguyen Ba, Department of Information Technology, Hanoi University of Industry, Hanoi, Vietnam
This paper we present Chemical Reaction Optimization (CRO) algorithm for determining optimal parameters of PI controller. The model of doubly fed induction generator (DFIG) is used as a plant in this paper. Tuning PI controller using traditional method such as Ziegler-Nichols (ZN) method usually produces large overshoot and Integral time absolute error, integral absolute error and integral square error performance indices. Therefore, recently researchers have applied random search approach such as genetic algorithm (GA) and particle swarm optimization (PSO) and Grey Wolf Optimizer (GWO) to find optimal parameters for PI controller. Among modern heuristics algorithm, CRO was introduced in 2010, it combines features of both GA and Simulated Annealing (SA) to find global minimum in search space. CRO has been applied to solve successfully many optimization problems such as: Minimum transportation cost, resource-constrained project scheduling problem, channel assignment problem in wireless mesh networks, standard continuous benchmark functions, and so on. In this paper we present to apply CRO algorithm to search optimal parameters for PI controller. The comparison between tuning PI controller by CRO and traditional Ziegler-Nichols method is presented. The simulation results show the advantages of PI tuning using CRO compared to traditional method in terms of performance index and setting time.
Cuong Nguyen Cong,
Nghia Nguyen Anh,
Chuong Trinh Trong,
Nghien Nguyen Ba,
Tuning Pi Controller Bases on Chemical Reaction Optimization Algorithm, American Journal of Electrical and Computer Engineering.
Vol. 3, No. 1,
2019, pp. 46-52.
Copyright © 2019 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/
) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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