Title :
Fuzzy control in DC-DC converters: An LMI approach
Author :
Torres-Pinzón, Carlos Andrés ; Leyva, Ramon
Author_Institution :
Dept. of Electron., Electr., & Autom. Control Eng., Rovira i Virgili Univ., Tarragona, Spain
Abstract :
This work presents the synthesis of fuzzy controls based on Linear Matrix Inequality (LMI) for DC-DC converters. Concretely, the paper proposes a linear-piecewise continuous control for a buck-boost converter which optimizes the decay rate of state variables under pole placement constraints and duty-cycle limitation. Based on a Takagi-Sugeno model of a buck-boost converter for a determined interval of operation, the paper describe the LMIs which take into account quadratic stability, closed-loop pole region and control signal bound. The procedure derives the control law by solving the LMI set using standard optimization algorithms on MATLAB. Some simulations illustrate and verify the correctness of proposed control design method, also a comparison with a common linear control law is provided.
Keywords :
DC-DC power convertors; fuzzy control; linear matrix inequalities; optimisation; piecewise linear techniques; stability; switching convertors; DC-DC switching converters; LMI approach; MATLAB; Takagi-Sugeno model; buck-boost converter; closed-loop pole region; common linear control law; control design method; control signal bound; duty-cycle limitation; fuzzy control; linear matrix inequality; linear piecewise continuous control; pole placement constraints; quadratic stability; standard optimization algorithms; Constraint optimization; DC-DC power converters; Fuzzy control; Linear matrix inequalities; MATLAB; Mathematical model; Matrix converters; Stability; State feedback; Takagi-Sugeno model; Bilinear Model; DC-DC Converter; LMI; Takagi-Sugeno Fuzzy Model;
Conference_Titel :
Industrial Electronics, 2009. IECON '09. 35th Annual Conference of IEEE
Conference_Location :
Porto
Print_ISBN :
978-1-4244-4648-3
Electronic_ISBN :
1553-572X
DOI :
10.1109/IECON.2009.5414974
