{"title":"Design and Implementation of Fuzzy logic-2DOF controller for Emulation of wind turbine System","authors":"P. Manjeera, G. N. Nagesh Kumar, V. Rafi","doi":"10.1109/confluence52989.2022.9734164","DOIUrl":null,"url":null,"abstract":"Relating to global warming and the depletion of fossil resources have prompted a radical shift toward renewable energy. In order to satisfy our energy needs, we must use all available renewable resources. Wind energy is becoming increasingly popular, prompting study and development of high-power wind turbines. A controlled test that is not dependent on wind availability is required. Therefore, it is necessary to promote R&D and teaching in wind energy conversation system (WECS). The majority of existing methods employed different emulation topologies for torque compensating and system controlling. However, by using these existing topologies, system complexity increases and disturbance occur in output side. To overcome existing problems for wind turbine emulation, this paper proposes a new topology of a Fuzzy logic controller along with two degrees of freedom control (FLC-2DOF). The proposed fuzzy logic control for emulation of a wind turbine-induction motor drive system along with doubly fed induction generator (DFIG) which is simulated by using MATLAB/SIMULINK software. In this study, the results of a comparison of the suggested FLC- 2DOF control topologies with IDOF and 2DOF control topologies are presented.","PeriodicalId":261941,"journal":{"name":"2022 12th International Conference on Cloud Computing, Data Science & Engineering (Confluence)","volume":"138 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 12th International Conference on Cloud Computing, Data Science & Engineering (Confluence)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/confluence52989.2022.9734164","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
Relating to global warming and the depletion of fossil resources have prompted a radical shift toward renewable energy. In order to satisfy our energy needs, we must use all available renewable resources. Wind energy is becoming increasingly popular, prompting study and development of high-power wind turbines. A controlled test that is not dependent on wind availability is required. Therefore, it is necessary to promote R&D and teaching in wind energy conversation system (WECS). The majority of existing methods employed different emulation topologies for torque compensating and system controlling. However, by using these existing topologies, system complexity increases and disturbance occur in output side. To overcome existing problems for wind turbine emulation, this paper proposes a new topology of a Fuzzy logic controller along with two degrees of freedom control (FLC-2DOF). The proposed fuzzy logic control for emulation of a wind turbine-induction motor drive system along with doubly fed induction generator (DFIG) which is simulated by using MATLAB/SIMULINK software. In this study, the results of a comparison of the suggested FLC- 2DOF control topologies with IDOF and 2DOF control topologies are presented.