PID parameter tuning for flyback converter with synchronous rectification using particle swarm optimization

Yu Shan Cheng*, Hung Yu Pai, Yi Hua Liu

*此作品的通信作者

研究成果: 圖書/報告稿件的類型會議稿件同行評審

1 引文 斯高帕斯(Scopus)

摘要

In this paper, a particle swarm optimization (PSO)-based parameter tuning approach is presented. The PSO algorithm was used to obtain optimal proportional integral derivative (PID) controller parameters for a voltage mode flyback converter with synchronous rectification. Firstly, the simulation model of the converter was constructed using Simulink and the controller parameters were optimized via PSO algorithm. Following the simulation and optimization, the obtained controller was implemented utilizing a digital controller TMS320F28335, and the performance of the controller was analyzed according to output voltage regulation under load and input voltage variations. The performance of the optimized controller was then compared with the classical parameter tuning method. Comparing with Ziegler-Nichols (ZN) parameter tuning method and frequency domain method, the settling time of the proposed techniques can be improved by 61.8% and 71.83 % and the overshoot obtained can be improved by 87.6% and 68.9% respectively according to the experimental results.

原文英語
主出版物標題2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems, SCIS and ISIS 2022
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9781665499248
DOIs
出版狀態已出版 - 2022
對外發佈
事件Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems, SCIS and ISIS 2022 - Ise, 日本
持續時間: 29 11 202202 12 2022

出版系列

名字2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems, SCIS and ISIS 2022

Conference

ConferenceJoint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems, SCIS and ISIS 2022
國家/地區日本
城市Ise
期間29/11/2202/12/22

文獻附註

Publisher Copyright:
© 2022 IEEE.

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