2018
DOI: 10.11591/ijpeds.v9.i2.pp811-819
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MPPT Control for Wind Energy Conversion System Based on a T-S Fuzzy

Abstract: <span lang="EN-US">In this paper, we focus on the modeling and control of a wind power system based on a Permanent Magnet Synchronous Generator (PMSG). We proposed a technique of control strategies to have the maximum power from wind turbine (WT). This study deals with the problem of Maximum Power Point Tracking (MPPT) based on Takagi Sugeno fuzzy model. The stability analysis is achieved. The gains of the designed controller are calculated by solving Linear Matrix Inequality (LMI). Finally, simulation r… Show more

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Cited by 4 publications
(2 citation statements)
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“…The P&O MPPT method and its modifications have been developed as a matured and most investigated technique, based on the trends in MPPT existing approaches (Abouobaida and Said, 2017; Benkada et al, 2018; Fannakh et al, 2020; Jayalakshmi and Sachin, 2018; Soufyane et al, 2019; Yang et al, 2019). Many researchers still use optimal relationship-based (ORB) (Dou, 2020), tip speed ratio (TSR) (Alsumiri et al, 2019; Sai Manoj et al, 2019), and optimal torque control (OTC) methods (Mousarezaee et al, 2020; Nasiri et al, 2014; Zhang et al, 2016), because they still have a satisfying performance, simple design and implementation, and no need for prior knowledge of the WT parameters.…”
Section: Trends In Technology and Research Status (Statistics Analysis)mentioning
confidence: 99%
“…The P&O MPPT method and its modifications have been developed as a matured and most investigated technique, based on the trends in MPPT existing approaches (Abouobaida and Said, 2017; Benkada et al, 2018; Fannakh et al, 2020; Jayalakshmi and Sachin, 2018; Soufyane et al, 2019; Yang et al, 2019). Many researchers still use optimal relationship-based (ORB) (Dou, 2020), tip speed ratio (TSR) (Alsumiri et al, 2019; Sai Manoj et al, 2019), and optimal torque control (OTC) methods (Mousarezaee et al, 2020; Nasiri et al, 2014; Zhang et al, 2016), because they still have a satisfying performance, simple design and implementation, and no need for prior knowledge of the WT parameters.…”
Section: Trends In Technology and Research Status (Statistics Analysis)mentioning
confidence: 99%
“…Many researches were interested in classifying and identifying the fault by a central computer after the data is collected via wireless sensors for monitoring, analyzing, and controlling [26][27]. The Vibration Fault Diagnosis of a machine may use different methodologies to save the machine from damage such as fuzzy, neural and support vector machine [28][29][30]. While this methodologies hybrid with wireless technology to improve the system applications for industrial and be utilized with a harsh environment [31].…”
Section: Introductionmentioning
confidence: 99%