Tao Zhang, Honglin Li, Xu-Yen Tu, Huizhen Pang, Yu Huang
{"title":"Optimization of SOC fractional PID control parameters for solid oxide battery based on improved firefly algorithm","authors":"Tao Zhang, Honglin Li, Xu-Yen Tu, Huizhen Pang, Yu Huang","doi":"10.1109/IAI53119.2021.9619450","DOIUrl":null,"url":null,"abstract":"Aiming at the parameter optimization problem of the state of charge (SOC) PID adjustment method of the soild oxide fuel cell (SOFC), in the analysis of the SOFC adjustment system characteristics and PID parameter optimization fitness function based on the improved firefly algorithm, a fractional PID parameter optimization model of SOC control is established. For the 6.6% voltage disturbance simulation test without external load and the 25% external load current disturbance test, the optimal solutions of fractional PID and conventional PID under the improved Firefly algorithm and the standard Firefly algorithm are obtained. The research shows that the optimal solution of fractional PID parameters obtained by the improved Firefly algorithm not only has a smaller overshoot under disturbance, but also a shorter transition process time, which is more conducive to SOC control.","PeriodicalId":106675,"journal":{"name":"2021 3rd International Conference on Industrial Artificial Intelligence (IAI)","volume":"338 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 3rd International Conference on Industrial Artificial Intelligence (IAI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IAI53119.2021.9619450","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Aiming at the parameter optimization problem of the state of charge (SOC) PID adjustment method of the soild oxide fuel cell (SOFC), in the analysis of the SOFC adjustment system characteristics and PID parameter optimization fitness function based on the improved firefly algorithm, a fractional PID parameter optimization model of SOC control is established. For the 6.6% voltage disturbance simulation test without external load and the 25% external load current disturbance test, the optimal solutions of fractional PID and conventional PID under the improved Firefly algorithm and the standard Firefly algorithm are obtained. The research shows that the optimal solution of fractional PID parameters obtained by the improved Firefly algorithm not only has a smaller overshoot under disturbance, but also a shorter transition process time, which is more conducive to SOC control.