{"title":"单相双向逆变器的T-S模糊控制","authors":"Gwo-Ruey Yu, Jian-Jia Lai, Jia-You Liu","doi":"10.1109/ICIT.2016.7474974","DOIUrl":null,"url":null,"abstract":"In this paper, the Takagi-Sugeno (T-S) fuzzy control system is applied to a single-phase bidirectional inverter, which can manipulated on grid connection mode and power factor correction mode. The T-S fuzzy model is formulated by combining the state-space equation of the bidirectional inverter and the integration of tracking error. By adopting the Lyapunov stability theorem, the robust LMI-based stability conditions that satisfy the H ∞ performance is derived to restrain the diode voltage and external disturbances. By using the parallel distributed compensation and solving the LMI stability condition to obtain the control gains, the T-S fuzzy controller of the inverter is designed and does not need to take inductance variations into account. Compared to the D-E approach, simulation results illustrate the proposed T-S fuzzy controller has better robust performance on both the grid.","PeriodicalId":116715,"journal":{"name":"2016 IEEE International Conference on Industrial Technology (ICIT)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"T-S fuzzy control of a single-phase bidirectional inverter\",\"authors\":\"Gwo-Ruey Yu, Jian-Jia Lai, Jia-You Liu\",\"doi\":\"10.1109/ICIT.2016.7474974\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, the Takagi-Sugeno (T-S) fuzzy control system is applied to a single-phase bidirectional inverter, which can manipulated on grid connection mode and power factor correction mode. The T-S fuzzy model is formulated by combining the state-space equation of the bidirectional inverter and the integration of tracking error. By adopting the Lyapunov stability theorem, the robust LMI-based stability conditions that satisfy the H ∞ performance is derived to restrain the diode voltage and external disturbances. By using the parallel distributed compensation and solving the LMI stability condition to obtain the control gains, the T-S fuzzy controller of the inverter is designed and does not need to take inductance variations into account. Compared to the D-E approach, simulation results illustrate the proposed T-S fuzzy controller has better robust performance on both the grid.\",\"PeriodicalId\":116715,\"journal\":{\"name\":\"2016 IEEE International Conference on Industrial Technology (ICIT)\",\"volume\":\"33 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-03-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE International Conference on Industrial Technology (ICIT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIT.2016.7474974\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE International Conference on Industrial Technology (ICIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIT.2016.7474974","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
T-S fuzzy control of a single-phase bidirectional inverter
In this paper, the Takagi-Sugeno (T-S) fuzzy control system is applied to a single-phase bidirectional inverter, which can manipulated on grid connection mode and power factor correction mode. The T-S fuzzy model is formulated by combining the state-space equation of the bidirectional inverter and the integration of tracking error. By adopting the Lyapunov stability theorem, the robust LMI-based stability conditions that satisfy the H ∞ performance is derived to restrain the diode voltage and external disturbances. By using the parallel distributed compensation and solving the LMI stability condition to obtain the control gains, the T-S fuzzy controller of the inverter is designed and does not need to take inductance variations into account. Compared to the D-E approach, simulation results illustrate the proposed T-S fuzzy controller has better robust performance on both the grid.