{"title":"Fault Detection and Control Reconfiguration of Wind Power Plants","authors":"Selam Karim, T. Mohamed, Allaoui Tayeb","doi":"10.1109/ICEEE2019.2019.00015","DOIUrl":null,"url":null,"abstract":"In this paper we developed a new Active Fault Tolerant Control algorithm That is able to stabilize the Wind Turbine under actuator fault, The main idea is to use a observers redundancy to generate a residual set for an effective detection and multiple controls scheme which allow to switch automatically the control to the adequate one in the presence of the fault to maintain the continuity of the energy production with the highest performance possible. For the fault detection we used a bank of two observers the Kalman filter and Sliding mode observer, A method using In the healthy mode is Linear Quadratic Gaussian (LQG) control methodology shows good performance, optimal control and robust-ness in controller design and Sliding Mode control when fault occur. To validate the proposed method, the simulation has been carried out using MATLAB script and the results are presented.","PeriodicalId":407725,"journal":{"name":"2019 6th International Conference on Electrical and Electronics Engineering (ICEEE)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 6th International Conference on Electrical and Electronics Engineering (ICEEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEEE2019.2019.00015","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In this paper we developed a new Active Fault Tolerant Control algorithm That is able to stabilize the Wind Turbine under actuator fault, The main idea is to use a observers redundancy to generate a residual set for an effective detection and multiple controls scheme which allow to switch automatically the control to the adequate one in the presence of the fault to maintain the continuity of the energy production with the highest performance possible. For the fault detection we used a bank of two observers the Kalman filter and Sliding mode observer, A method using In the healthy mode is Linear Quadratic Gaussian (LQG) control methodology shows good performance, optimal control and robust-ness in controller design and Sliding Mode control when fault occur. To validate the proposed method, the simulation has been carried out using MATLAB script and the results are presented.