Title :
A fuzzy modeling and control method for PWM converters
Author :
Tahami, Farzad ; Nejadpak, Arash
Author_Institution :
Dept. of Electr. Eng., Sharif Univ. of Technol., Tehran, Iran
Abstract :
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.
Keywords :
PWM power convertors; fuzzy control; fuzzy set theory; nonlinear systems; power system control; state feedback; PFC rectifier; PWM converter; buck boost converter; fuzzy modeling; fuzzy state feedback controller; fuzzy system; nonlinear system; signal approximation; Control systems; Equations; Integrated circuit modeling; Mathematical model; Nonlinear systems; Pulse width modulation converters; Converter control; Fuzzy modelling; Nonlinear control;
Conference_Titel :
Power Electronics and Motion Control Conference (EPE/PEMC), 2010 14th International
Conference_Location :
Ohrid
Print_ISBN :
978-1-4244-7856-9
DOI :
10.1109/EPEPEMC.2010.5606518