DocumentCode :
2082704
Title :
Modeling and stability analysis of DC-DC buck converter via Takagi-Sugeno fuzzy approach
Author :
Mehran, Kamyar ; Giaouris, Damian ; Zahawi, Bashar
Author_Institution :
Sch. of Electr., Electron. & Comput. Eng., Newcastle Univ., Newcastle upon Tyne, UK
Volume :
1
fYear :
2008
fDate :
17-19 Nov. 2008
Firstpage :
401
Lastpage :
406
Abstract :
The DC-DC voltage-mode controlled buck converter is a nonlinear, nonsmooth system that presents different circuit topologies within one switching cycle. This paper develops a Takagi-Sugeno fuzzy approach for modeling this circuit to capture all the essential nonlinearities that occur in fast time scale. Based on the resulting model, we propose tractable mathematical stability analysis for identifying fast-scale instabilities of the converter, more specifically the edge of bifurcation phenomena, employing nonsmooth Lyapunov functions. The search for the Lyapunov functions are formulated as Linear Matrix Inequalities (LMI) feasibility problem which easily can be solved using up-to-date interior point methods.
Keywords :
DC-DC power convertors; Lyapunov methods; fuzzy set theory; linear matrix inequalities; stability; switching convertors; DC-DC buck converter stability analysis; DC-DC voltage-mode controlled buck converter; Takagi-Sugeno fuzzy approach; linear matrix inequalities; nonsmooth Lyapunov functions; switching cycle; Buck converters; Circuit topology; Control systems; Lyapunov method; Mathematical model; Nonlinear control systems; Stability analysis; Switching circuits; Takagi-Sugeno model; Voltage control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent System and Knowledge Engineering, 2008. ISKE 2008. 3rd International Conference on
Conference_Location :
Xiamen
Print_ISBN :
978-1-4244-2196-1
Electronic_ISBN :
978-1-4244-2197-8
Type :
conf
DOI :
10.1109/ISKE.2008.4730963
Filename :
4730963
Link To Document :
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