The Application of Fuzzy Control in Computer Control

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Abstract:

Fuzzy control theory is a computer numerical control theory based on fuzzy set theory, fuzzy language variable and fuzzy logic reasoning. It is widely used for it doesnt require exact mathematical model of controlled object in system design, so that fuzzy control has an advantage in researching high nonlinear system like inverted pendulum. However, rule explosion problem is unavoidable when we use fuzzy control theory to solve some multivariable system control problems such as inverted pendulum. This paper presents the application of the optimal control theory to reduce the input variable dimensions and the rules of the fuzzy controller through designing a fusion function, solving rule explosion problem successfully. The paper also discusses the control effect influenced by quantification factors, promoting performance quality of the fuzzy controller by setting threshold value to make quantification factors automatic regulation.

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Periodical:

Advanced Materials Research (Volumes 756-759)

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349-353

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September 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] Zeng Zeng, Swing-up and Handstand Control of Cart- Single and Double-Pendulum System Based on Human Simulated Intelligent Control Study [D], Master Dissertation of Chongqing University, 2001, Major: Pattern Recognition and Intelligent System.

Google Scholar

[2] Shi Xiaoxia, Zhang Zhendong, Li Junfang, Yang Yi. Modeling and Application of a Double Inverted Pendulum [J]. Journal of Hebei University of Technology. 2001, 10. 30(5): 48—51.

Google Scholar

[3] Qu Jianling, Wu Wenhai, Sun Junen. Design and Simulation of the Fuzzy Controller for the Three Stage Inverted Pendulum, Journal of System Simulation, 2004, 3, 16(3): 578—581.

Google Scholar

[4] Lu Chunhui, Wen Zhengxin, Li Hegui etc. Study on a New Fuzzy Controller with Intelligence, Computer Simulation. 2003, 9, 20(9): 95—97.

Google Scholar

[5] MEIER H.FARWl6 Z and UNBEHAUEN H:Discrete computer control of a triple—inverted pendulum. Opt, Connt. App. &Methods, 2000, 1 1, p.157—171.

Google Scholar

[6] Mori Shozo. H, Nishihara and K.Furuta. Control of unstable mechanical system Control of pendulum[J]. Int.J.of Control 2006, 23(5): 673—692.

DOI: 10.1080/00207177608922192

Google Scholar

[7] K. Furuta, Katsuhisa, H. KajiwaraandK. Kosuge. Digital control of a double inverted pendulum on an inclinedrail[J]. Int. J. of Control 1980, 32(5): 907—924.

DOI: 10.1080/00207178008922898

Google Scholar

[8] J. W. Watts. Control of all inverted pendulum.ASEE Annual Conference. session2527, 2004, 706—710.

Google Scholar

[9] K.Furuta,M.Yamakita and S.Kobayashi.Swing—up control of inverted pendulumusing pseudo-state feedback[J]. J. of Systems and Comrol Engineering 1992, 206: 263-269.

Google Scholar

[10] A. L. Fradkov, EY. Guzenko. D. J. Hill and A. Y. Pogromsky. Speed gradient control and passivity of nonlinear oscillators[C]. Proc.of IFAC symposium on Control of Nonlinear Systems, Lake Tahoe. 1995, 655-659.

DOI: 10.1016/s1474-6670(17)46896-0

Google Scholar