Paper
4 March 2024 Study of fuzzy PI controller in improving transient response performance of DC-DC converters
Baixuan Qi, Xianwu Zhang, Yuanhao Wang, Guanjie Zhang, Chenbo Fu
Author Affiliations +
Proceedings Volume 12981, Ninth International Symposium on Sensors, Mechatronics, and Automation System (ISSMAS 2023); 129815X (2024) https://doi.org/10.1117/12.3014879
Event: 9th International Symposium on Sensors, Mechatronics, and Automation (ISSMAS 2023), 2023, Nanjing, China
Abstract
To overcome the issues with classic linear PI control, such as the difficulties of modeling complicated control objects and the lack of experience in manual adjustment, a fuzzy PI control method for a double-closed-loop Buck converter system is developed. First, the current inner PI loop and voltage Fuzzy-PI outer loop structures are intended to operate simultaneously to enhance the system's immune performance; In order to increase the system's dynamic responsiveness, the subordinate triangle function is selected as the input and output subordinate functions. Following this, two sub-databases for PI parameters were established, and fuzzy rules for Buck converters were developed through a rule base based on expert experience, allowing the controller to be independent of the precise mathematical model of the Buck converter system and overcoming traditional PI control's drawbacks of high overshoot and output voltage oscillation; The reliability of the aforementioned proposition was lastly confirmed by a number of simulations and experiment.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Baixuan Qi, Xianwu Zhang, Yuanhao Wang, Guanjie Zhang, and Chenbo Fu "Study of fuzzy PI controller in improving transient response performance of DC-DC converters", Proc. SPIE 12981, Ninth International Symposium on Sensors, Mechatronics, and Automation System (ISSMAS 2023), 129815X (4 March 2024); https://doi.org/10.1117/12.3014879
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KEYWORDS
Fuzzy logic

Control systems

Circuit switching

Mathematical modeling

Batteries

Capacitance

Data modeling

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