DocumentCode :
3328612
Title :
Genetic algorithm based fixed-structure H loop shaping control of a buck-boost converter
Author :
Olranthichachat, P. ; Saenthon, A. ; Kaitwanidvilai, S.
Author_Institution :
Dept. of Electr. Eng., King Mongkut´´s Inst. of Technol. Ladkrabang, Bangkok
fYear :
2009
fDate :
22-25 Feb. 2009
Firstpage :
1944
Lastpage :
1949
Abstract :
Hinfin loop shaping is a feasible method for designing a robust controller; however, the controller designed by this method is complicated and has high order. It is not easy to implement this controller in practice. To overcome this problem, we propose an algorithm, GA based fixed-structure Hinfin loop shaping control, to design a robust controller. In the proposed technique, genetic algorithm is used to solve the Hinfin loop shaping design problem under a structure specified controller. To compare performance, conventional Hinfin loop shaping, proposed robust controller and conventional ISE method are investigated. Results of simulation demonstrate the advantages of a simple structure and robustness against plant perturbations and disturbances of the proposed controller. In this paper, the proposed technique is adopted to design a robust controller of a PCMC buck-boost converter. Experiments are performed to verify the effectiveness of the proposed technique.
Keywords :
Hinfin control; control system synthesis; genetic algorithms; power convertors; robust control; buck-boost converter; fixed-structure Hinfin loop shaping control; genetic algorithm; loop shaping control; robust controller design; structure specified controller; Algorithm design and analysis; Control systems; DC-DC power converters; Design methodology; Genetic algorithms; Optimal control; Robust control; Shape control; Uncertainty; Voltage control; Buck-Boost converter; H loop shaping; genetic algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Biomimetics, 2008. ROBIO 2008. IEEE International Conference on
Conference_Location :
Bangkok
Print_ISBN :
978-1-4244-2678-2
Electronic_ISBN :
978-1-4244-2679-9
Type :
conf
DOI :
10.1109/ROBIO.2009.4913298
Filename :
4913298
Link To Document :
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