{"title":"Fuzzy sliding mode control of hydrogen flow in PEM fuel cell system for residential power generation","authors":"M. Fattahi","doi":"10.1109/ICCIAUTOM.2017.8373943","DOIUrl":null,"url":null,"abstract":"This paper presents a new method for design of controller in proton exchange membrane fuel cell (PEMFC) system for residential power generation. At first, the dynamical model of system consists of a fuel cell stack model, reformer model and DC/AC inverter is described. This model can be used to study the dynamical behavior of the system in stand-alone and grid connected mode. Then, fuzzy logic controller (FLC) and fuzzy sliding mode controller (FSMC) are studied to control the hydrogen flow of fuel cell in order to enhance the dynamical response of FC. It can be seen, the dynamical behavior of the system with FSMC is more improved as compared to that of the FLC in terms of hydrogen flow, output DC voltage of fuel cell and output power. Simulation results confirm our allegation.","PeriodicalId":197207,"journal":{"name":"2017 5th International Conference on Control, Instrumentation, and Automation (ICCIA)","volume":"105 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 5th International Conference on Control, Instrumentation, and Automation (ICCIA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCIAUTOM.2017.8373943","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
This paper presents a new method for design of controller in proton exchange membrane fuel cell (PEMFC) system for residential power generation. At first, the dynamical model of system consists of a fuel cell stack model, reformer model and DC/AC inverter is described. This model can be used to study the dynamical behavior of the system in stand-alone and grid connected mode. Then, fuzzy logic controller (FLC) and fuzzy sliding mode controller (FSMC) are studied to control the hydrogen flow of fuel cell in order to enhance the dynamical response of FC. It can be seen, the dynamical behavior of the system with FSMC is more improved as compared to that of the FLC in terms of hydrogen flow, output DC voltage of fuel cell and output power. Simulation results confirm our allegation.