The Dynamic and Observed Pendulum Control System Based on Optimum Control

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Abstract:

In view of the nonlinear characteristic of the pendulum system, the paper applies the LQR algorithm to control the cart position and the pendulum pole angle simultaneously. In order to show the control effect lively, the paper proposes the realization plan which constructing the dynamic and observed pendulum control system by configuration software. The results of simulation computation and configuration design demonstrate that the plan can proves the application value of the LQR algorithm in the pendulum control system and achieves fine teaching effect in the actual teaching process.

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48-52

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September 2011

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© 2011 Trans Tech Publications Ltd. All Rights Reserved

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[1] Bao Liu: Modern Control Theory (Machinery Industry Press, Beijing 2003).

Google Scholar

[2] Jingping Jiang: Computer real-time Control system (Zhejiang University Press, Hangzhou 1992).

Google Scholar

[3] Guili Tan: Configuration Software Control Technology (Beijing Science and Technology University Press, Beijing 2007).

Google Scholar

[4] Lian Sun g: MATLAB Language and Control System Simulation (Beijing Industry University Press, Beijing 2006).

Google Scholar

[5] Jing Zhang: MATLAB Application in Control System (Electricity Industry Press, Beijing 2007).

Google Scholar

[6] Tao Zhang, Jingping Jiang and Pengqian Xue: Research on the Application of Fuzzy Control on Position Follow-Up System, Journal of Wuhan University of Technology. Vol.29 (2007), No.10, pp.24-27

Google Scholar

[7] Tao Zhang and Jingping Jiang: Servo Follow-up System Controlled by CMAC ANN, the 2009 Global Congress on Intelligent Systems. (2009), pp.21-25

DOI: 10.1109/gcis.2009.23

Google Scholar

[8] Tao Zhang: The Position Follow-Up System based on Combined Fuzzy-PID Controller, the 3rd International Conference on BioMedical Engineering and Informatics. (2010), pp.2995-299

DOI: 10.1109/bmei.2010.5639830

Google Scholar