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This paper presents a comparison between adaptive input-output linearization and adaptive fuzzy sliding mode control (FSMC) for induction motor. At first, we describe the adaptive linearization control method, which consists in the cancelling of the nonlinearities and decoupling between speed and flux of the system when Rr and TL are unknowns constants. The adaptive sliding mode control, which is...
The current paper is presenting a Takagi-Sugeno (T-S) fuzzy controller designed for a wind generation system in the objective of Maximum Power Point Tracking (MPPT). The considered Wind Energy Conversion System (WECS) is composed of a wind turbine and a Permanent Magnet Synchronous Generator (PMSG) associated to an AC-DC converter. First, the WECS fuzzy model is presented based on T-S approach. Next,...
In this paper, we present an application of a Takagi Sugeno (TS) Fuzzy logic backstepping control for enhancing performance of the machine drive. The equations states of induction machine are described in a d-q frame related to the rotating stator field. In the first step, the state feedback linearization technique is used for decoupling speed and flux controls. In the second step, we have been developed...
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