Position Control of Brushless DC Motor Using Improved Ant Colony Optimization Based Fuzzy PD Controller

DOI

10.2991/978-94-6463-518-8_34How to use a DOI?

Keywords

Brushless dc motor; Fuzzy PD control; Position control; Ant colony optimization

Abstract

Accurate brushless DC motor position control is the basis for realizing various high-precision control systems. In order to achieve precise control of brushless DC motor position and improve control stability, this paper proposes a fuzzy PD control method based on the improved ant colony optimization (ACO). On the basis of the mathematical model of BLDC motor, an improved ant colony optimization (IACO) is proposed, maximizing the dynamic balance between the global search capability and convergence speed of ACO. A fuzzy PD controller based on IACO is designed, where IACO is used for real-time optimization and the tuning of the fuzzy PD controller parameters, which significantly reduces the difficulty and accuracy of parameterization. The BLDC closed-loop position control simulation model is built in Simulink, and the simulation is carried out using traditional PD, ACO PD, fuzzy PD, IACO fuzzy PID, and the comparison experiments are conducted under the step signal, perturbation signal, and following signal, respectively. The simulation results show that BLDC position control based on the IACO optimized fuzzy PD controller can significantly increases the response speed and reduce the overshoot and has a strong anti-interference ability, which effectively improves the control accuracy, dynamic performance and robustness of the system.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Xingyan Mou
PY  - 2024
DA  - 2024/09/28
TI  - Position Control of Brushless DC Motor Using Improved Ant Colony Optimization Based Fuzzy PD Controller
BT  - Proceedings of the 2024 International Conference on Mechanics, Electronics Engineering and Automation (ICMEEA 2024)
PB  - Atlantis Press
SP  - 339
EP  - 353
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-518-8_34
DO  - 10.2991/978-94-6463-518-8_34
ID  - Mou2024
ER  -