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Interval Type-2 T-S Fuzzy Current Control of the Permanent-Magnet Synchronous Generator
Conference paper

Interval Type-2 T-S Fuzzy Current Control of the Permanent-Magnet Synchronous Generator

Yuan-Chih Chang, Chi-Ting Tsai and Yong-Lin Lu
Proceedings of the 2nd IEEE International Conference on Knowledge Innovation and Invention 2019, ICKII 2019, pp.604-607
07/2019

Abstract

Current control Interval type-2 Permanet magnet synchronous generator T-S fuzzy Computer Networks and Communications Computer Vision and Pattern Recognition Human-Computer Interaction Information Systems and Management Energy Engineering and Power Technology Electrical and Electronic Engineering Media Technology Education
Interval type-2 (IT2) Takagi-Sugeno fuzzy (T-S fuzzy) current control of permanent magnet synchronous generator (PMSG) is developed in this paper. The derived system model of PMSG is nonlinear, and IT2 T-S fuzzy systems will be applied to nonlinear system control. IT2 T-S fuzzy model of a PMSG is first established. Next, IT2 T-S fuzzy control algorithm and stability terms are derived. After defuzzification, IT2 T-S fuzzy current control is developed through parallel distributed compensation (PDC) method. The current controller gain is obtained by Linear Matrix Inequality (LMI). Three-phase AC output power of PMSG is converted to DC load power. The DC output voltage and PMSG winding currents are properly converted into the microcontroller. The duty ratios of six switches are calculated via the proposed controller. Finally, the controller performance is validated by experiments.

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