Paper
22 May 2024 Active disturbance rejection control of single-inductor dual-output buck
Author Affiliations +
Proceedings Volume 13176, Fourth International Conference on Machine Learning and Computer Application (ICMLCA 2023); 131763C (2024) https://doi.org/10.1117/12.3029026
Event: Fourth International Conference on Machine Learning and Computer Application (ICMLCA 2023), 2023, Hangzhou, China
Abstract
To reduce cross-coupling effects and enhance the dynamic response of the Single-Inductor Dual-Output (SIDO) Buck converter, this paper introduces an active disturbance rejection control method based on a cascade extended state observer. It starts with establishing a small-signal model and deriving the transfer function of the SIDO Buck converter. Then, it designs self-disturbance decoupling controllers and series-connected state observers, followed by multi-objective optimization of controller parameters using the particle swarm algorithm. Finally, the control approach is compared with Proportional-Integral-Derivative (PID) control through simulations on a MATLAB platform. The results demonstrate that the proposed controller effectively minimizes cross-coupling effects between the converter outputs and enhances disturbance rejection and robustness.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Zhifeng Shi, Jingyang Li, and Hexi Baoyin "Active disturbance rejection control of single-inductor dual-output buck", Proc. SPIE 13176, Fourth International Conference on Machine Learning and Computer Application (ICMLCA 2023), 131763C (22 May 2024); https://doi.org/10.1117/12.3029026
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KEYWORDS
Particle swarm optimization

Circuit switching

Control systems

Simulations

Particles

Capacitors

Mathematical modeling

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