Rida Abbas Shirazi, Iftikhar Ahmad, M. Arsalan, Muwahida Liaquat
{"title":"Integral Backstepping based MPPT controller for photo-voltaic system using SEPIC converter","authors":"Rida Abbas Shirazi, Iftikhar Ahmad, M. Arsalan, Muwahida Liaquat","doi":"10.1109/ICCMA46720.2019.8988614","DOIUrl":null,"url":null,"abstract":"The energy generation of photo-voltaic system varies due to variation in load and atmospheric conditions such as temperature and irradiance. The effectiveness of PV system can be enhanced by designing some controller used to track maximum power point (MPP). The PV systems are nonlinear in nature so nonlinear controllers are more suitable for tracking MPP applications. This study proposes a nonlinear integral backstepping controller (IBS) for the extraction of maximum energy from the PV array using SEPIC converter. The regression plane has been originated to provide peak power voltage as reference for MPPT. The system’s asymptotic stability is demonstrated using the stability criteria of Lyapunov. The simulations of integral backstepping controller are performed in MATLAB/SIMULINK, where the results are compared with PID and Fuzzy Logic-based controller (FLBC) underabrupt/ sudden changes of atmospheric conditions.","PeriodicalId":377212,"journal":{"name":"2019 7th International Conference on Control, Mechatronics and Automation (ICCMA)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 7th International Conference on Control, Mechatronics and Automation (ICCMA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCMA46720.2019.8988614","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
The energy generation of photo-voltaic system varies due to variation in load and atmospheric conditions such as temperature and irradiance. The effectiveness of PV system can be enhanced by designing some controller used to track maximum power point (MPP). The PV systems are nonlinear in nature so nonlinear controllers are more suitable for tracking MPP applications. This study proposes a nonlinear integral backstepping controller (IBS) for the extraction of maximum energy from the PV array using SEPIC converter. The regression plane has been originated to provide peak power voltage as reference for MPPT. The system’s asymptotic stability is demonstrated using the stability criteria of Lyapunov. The simulations of integral backstepping controller are performed in MATLAB/SIMULINK, where the results are compared with PID and Fuzzy Logic-based controller (FLBC) underabrupt/ sudden changes of atmospheric conditions.