Adaptive Fuzzy Sliding Mode Control for Uncertain Inverted Pendulum System

Jiao Long Zhang; Wei Zhang

doi:10.4028/www.scientific.net/AMM.273.683

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 273Adaptive Fuzzy Sliding Mode Control for Uncertain...

Adaptive Fuzzy Sliding Mode Control for Uncertain Inverted Pendulum System

Abstract:

Firstly, the mathematical model of inverted pendulum system is created. Taking into account the uncertainty of inverted pendulum system external disturbances, adaptive fuzzy sliding mode controller is proposed with sliding mode control (SMC) theory and fuzzy logic theory. This controller can weaken the impact of uncertainty through fuzzification of the switching gain, Owing to Fuzzy approximation of the inverted pendulum system equations for an inverted pendulum with unknown parameters, this system achieve the adaptive control and optimize the control action. Secondly, inverted pendulum system has the features which SMC can keep invariance to the external disturbance and parameter perturbation. Lyapunov function is used to prove the stability of the controller. Simulation results also show that this controller can ensure inverted pendulum system fast response and robustness in the SIMULINK conditions.

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Periodical:

Applied Mechanics and Materials (Volume 273)

Pages:

683-688

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.273.683

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Online since:

January 2013

Authors:

Jiao Long Zhang, Wei Zhang

Keywords:

Adaptive Fuzzy Sliding Mode Controller, Fuzzy Approximate, Inverted Pendulum System, Switching Gain

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References

[1] Li Hongxing, Miao Zhihong, Wang Jiayin. Variable Universe Adaptive Fuzzy Control of Fourfold Inverted Pendulum. Science in China, Ser. E, Vol. 32, No. 1, (2005)65-75.

Google Scholar

[2] Wang Hongqi, Wang Qinglin, Peng Hongxing. Design of the Controller for an Uncertain Nonlinear Overhead Crane system. Transactions of Beijing Institute of Technology. Vol. 28, No. 1, (2008) 54-57.

Google Scholar

[3] Zhang Wei, Wang Hongqi. Research on key issues in the controller design for inverted pendulum system. ICICTA 2011, Vol. 1, (2011): 487-490.

Google Scholar

[4] Mellah R. , Lahouazi F. , Djennoune, S. , Guermah, S. , Toumi, R. . Real time implementation of composite neural-fuzzy control of inverted pendulum. Mediterranean Journal of Measurement and Control, Vol. 5, No. 4, (2009)164-171.

Google Scholar

[5] Huang Jian, Guan Zhihong, Matsuno Takayuki, Fukuda Toshio. Sekiyama Kosuke. Sliding-mode velocity control of mobile-wheeled inverted-pendulum systems. IEEE Transactions on Robotics, Vol. 26, No. 4, (2010)750-758.

DOI: 10.1109/tro.2010.2053732

Google Scholar

[6] Gao Junwei, Cai Guoqiang, Ji Zhijian, Qin Yong, Jia Limin. Adaptive neural-fuzzy control of triple inverted pendulum. Control Theory and Applications, Vol. 27, No. 2, (2010)278-282.

Google Scholar