DocumentCode
2919425
Title
A simulation study of crazy-PSO controller for Direct Matrix Converter
Author
Gozde, Haluk ; Taplamacioglu, M. Cengiz
Author_Institution
Gazi Univ., Ankara, Turkey
fYear
2013
fDate
28-30 Nov. 2013
Firstpage
107
Lastpage
111
Abstract
Matrix converter (MC) is an AC-AC converter which provides power flow between AC power supply and the load with different voltage and current requirements. Its relatively small power circuits and simple control structures provide considerable advantages to itself according to the classical AC-AC converter topologies. In this simulation study, optimal control approach based on Crazy Particle Swarm Optimization (CPSO) algorithm is suggested in order to control the Direct Matrix Converter (DMC). The function of CPSO algorithm in the proposed controller is to both minimize the cost function which is the significant part of the optimal controller and also produce the optimum switching states at each switching period. At the end of the study, the results obtained from the DMC system show that the CPSO algorithm based optimal controller provides desired steady-state response towards different load frequency conditions.
Keywords
AC-AC power convertors; cost reduction; load flow control; matrix convertors; optimal control; particle swarm optimisation; time-varying systems; AC power supply; AC-AC converter topologies; CPSO algorithm; DMC system; control structures; cost function minimization; crazy particle swarm optimization algorithm; crazy-PSO controller; current requirements; direct matrix converter; load frequency conditions; optimal control approach; optimum switching states; power circuits; power flow; voltage requirements; Cost function; Heuristic algorithms; Load modeling; Mathematical model; Matrix converters; Switches;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical and Electronics Engineering (ELECO), 2013 8th International Conference on
Conference_Location
Bursa
Print_ISBN
978-605-01-0504-9
Type
conf
DOI
10.1109/ELECO.2013.6713813
Filename
6713813
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