AN APPLICATION OF ION MOTION OPTIMIZATION ALGORITHM  TO THE PROBLEM OF FINDING FUZZY CONTROLLER PARAMETERS

Dương Mai Thương; Đào Thị Thu; Nguyễn Thị Tuyển

doi:10.34238/tnu-jst.4643

AN APPLICATION OF ION MOTION OPTIMIZATION ALGORITHM TO THE PROBLEM OF FINDING FUZZY CONTROLLER PARAMETERS

About this article

Received: 14/06/21 Revised: 16/02/22 Published: 23/02/22

Authors

1. Duong Mai Thuong , TNU – University of Information and Comunication Technology
2. Dao Thi Thu, TNU – University of Information and Comunication Technology
3. Nguyen Thi Tuyen, TNU – University of Information and Comunication Technology

Abstract

In practice, we often use PI controller to stabilize DC motor speed with acceptable control quality. When we need to further improve the control quality and respond to different set speeds, the fuzzy controller is a suitable choice. However, the design of fuzzy controller is often difficult because determining the parameters of this controller depends a lot on the experience of the designer. In this paper, the authors present how to apply the Ions Motion Optimization algorithm to find the optimal parameter of the fuzzy controller for DC motor speed control. The results obtained through simulation and experiment show that the fuzzy controller with parameters determined by the IMO algorithm has very good performance quality with fast setting time (1.42378 s), low overshoot (0.51%) and adapt quickly when the motor set speed changes continuously.

Keywords

DC motor; Fuzzy Controller; Optimal search; IMO Algorithm; PI Controller

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DOI: https://doi.org/10.34238/tnu-jst.4643

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