LQR Control of Single Inverted Pendulum Based on Square Root Filter

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Abstract:

Inverted pendulum system is a nonlinear, coupling, multi-variable and unstable system. In this paper, Linear Quadratic Regulator (LQR) is used to achieve optimal control of single inverted pendulum. First, the state-space model of the system is created. Then state feedback gain is calculated by selecting suitable weight coefficient matrix. Because the inverted pendulum system exists all kinds of disturbs inevitably, the states have errors and the accuracy of control drops. So square root filter is used to estimate states on line before LQR. The simulation results show control effect has obvious improvement because of adopting square root filter.

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Periodical:

Advanced Materials Research (Volumes 433-440)

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6999-7003

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Online since:

January 2012

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] W. Rekdalsbakken, Intelligent control of an inverted pendulum, Springer Netherlands, p.235–244, (2009).

Google Scholar

[2] Chi Tsong Chen, Linear system theory and design, New York Oxford, (1999).

Google Scholar

[3] Googol Tech, Googol Pendulum and autocontrol Handbook, (2002).

Google Scholar

[4] J.R. Rao, G. Girijia, Sensor data fusion algorithms using square-root information filtering, IEE Proc., Radar Sonar Navig. vol. 149, April 2002, pp.89-96. doi: 10. 1049/ip-rsn: 20020128.

DOI: 10.1049/ip-rsn:20020128

Google Scholar

[5] D.E. Miller, T.W. Chen Simulation stabilization with near optimal LQR performance, IEEE Transactions on automatic control, vol. 46 pp.1543-1555, (2001).

DOI: 10.1109/9.956050

Google Scholar