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A fuzzy modeling and control method for PWM converters

Tahami, F ; Sharif University of Technology | 2010

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  1. Type of Document: Article
  2. DOI: 10.1109/EPEPEMC.2010.5606518
  3. Publisher: 2010
  4. Abstract:
  5. The state-space averaging applied to switched networks generally results in nonlinear systems. It is common to perform a small signal linearization about an operating point to obtain a linear system. When the variations in signals are large, e.g., in PFC rectifiers, the small signal approximation produces results that are susceptible to instability problems. In this paper a class of piecewise linear models merged by fuzzy system are introduced for PWM converters. The necessary and sufficient and conditions for stability of fuzzy models using fuzzy state-feedback controllers are given. The results obtained are illustrated with a buck-boost converter. The simulation and experimental results are presented to demonstrate the effectiveness of the proposed method for modeling and control of PWM converters
  6. Keywords:
  7. Buck boost converter ; Converter controls ; Fuzzy modelling ; Fuzzy models ; Instability problems ; Modeling and control ; Non linear control ; Operating points ; Piecewise linear models ; PWM converter ; Small signal approximation ; Small-signal linearization ; State-space averaging ; Switched networks ; Control theory ; Electric converters ; Feedback ; Fuzzy logic ; Fuzzy sets ; Linear systems ; Motion control ; Motion planning ; Piecewise linear techniques ; Power electronics ; State feedback ; Switching circuits ; DC-DC converters
  8. Source: Proceedings of EPE-PEMC 2010 - 14th International Power Electronics and Motion Control Conference, 6 September 2010 through 8 September 2010 ; September , 2010 , Pages T3186-T3190 ; 9781424478545 (ISBN)
  9. URL: http://ieeexplore.ieee.org/document/5606518