Modeling and Simulation for Boost Converter Based on HDS Theory

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Abstract:

As a typical power electronic circuit, the dynamic model of boost converter can be viewed as a mixing or interacting system between the discrete event and continuous time variable, also known as hybrid dynamic systems. By using of hybrid dynamic systems theory, a hybrid model of boost converter was established and simulation was carried out to verify the validity of the method in the MATLAB. Compared with traditional state-space averaging method, a more accurate model of boost converter was obtained without treatment of approximate linearization based on hybrid dynamic theory.

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Advanced Materials Research (Volumes 383-390)

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2313-2317

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November 2011

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] Middlebrook R D Cuk S A general unified approach to modeling switching power converter stages[J] . International Journal of Electronics 1977 42(6) 521-550.

DOI: 10.1080/00207217708900678

Google Scholar

[2] Kevin M. Passino and Umit Ozguner. Modeling and analysis of hybrid systems: examples[C]. Proceedings of the 1991 IEEE International Symposium on Intelligent Control, August 1991, Arlington, Virginia, U.S.A. 13-15.

DOI: 10.1109/isic.1991.187366

Google Scholar

[3] Zhao Hongshan, Mi Zengqiang, Niu Xiaodong et al. Yang Qixun. Power system modeling using hybrid system theory[J]. Proceedings of the CSEE, 2003, 23(1) 20-25.

DOI: 10.1109/icpst.2002.1047136

Google Scholar

[4] MA Youjie, WANG Xinzhi, ZHOU Xiesong. Hybrid Dynamic System and Its Application in Power System. Journal of Tianjin Normal University (Natural Science Edition), 2006. 26(4): 70-74.

Google Scholar

[5] Zhang Bo. Discussion on Several Fundam- ental Problems Necessary to be Solved in Power Electronics[J]. Transactions of China Electrotechnical Society, 2006. 21(3): 24-35.

Google Scholar

[6] Ma Hao Mao Xingyun, Xu Dehong. Parame- ter Identification of DC/DC Power Electroni- c Circuits Based on Hybrid System Model[J]. Proceedings of the CSEE, 2005. 25(10): 51-54.

DOI: 10.1109/pesc.2005.1582038

Google Scholar

[7] Zhang Zhixue, Ma Hao, Mao Xingyun. Fault diagnosis for power electronic circuits based on hybrid system theory and event identific- ation[J]. Proceedings of the CSEE 2005 25(3) 49-53.

Google Scholar

[8] M.S. Branicky. Introduction to hybrid systems. In D. Hristu-Varsakelis and W.S. Levine (eds. ), Handbook of Networked and Embedded Control Systems, pp.91-116. Boston: Birkh¨auser, (2005).

DOI: 10.1007/b137198

Google Scholar

[9] A. Van der schaft and M. Schumacher, An Introduction to Hybrid Dynamical Systems, Springer Verlag, (2000).

Google Scholar

[10] H. S. Witsenhausen, A class of hybrid- state continuous-time dynamic systems, IEEE Trans. Automat. Contr., vol. 11, pp.161-167, Feb. (1966).

DOI: 10.1109/tac.1966.1098336

Google Scholar

[11] M. Athams. Command and Control (C2) Theory: A Challenge to Control Science [J]. IEEE Trans on Automatic Control, 1987, 32 (4): 286-293.

DOI: 10.1109/tac.1987.1104607

Google Scholar

[12] M.S. Branicky, V. Borkar, and S. Mitter, A unified framework for hybrid control: Model and optimal control theory, IEEE Trans. Automat. Contr., vol. 43, p.31–45, Jan. (1998).

DOI: 10.1109/9.654885

Google Scholar

[13] M.S. Branicky. General hybrid dynamical systems: Modeling, analysis, and control. In R. Alur, T.A. Henzinger, and E.D. Sontag (eds. ), Hybrid Systems III: Verification and Control, vol. 1066, Lecture Notes in Computer Science, p.186–200. Berlin: Springer, (1996).

DOI: 10.1007/bfb0020945

Google Scholar