Research on Unmanned Aerial Vehicles Autonomous Soft Landing Based on Optimal Control

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This paper deals with the autonomous soft landing of unmanned helicopter aiming to enhance its application. Soft landing means to reduce the shock force upon ground during the helicopters land. Helicopter is a multi-input multi-output system and for which optimal control provides graceful and coordinated controls. Firstly, the experimental platform configuration for autonomous soft-landing system is introduced, which is based on the model helicopter. The time-varying gains and time-varying quadratic performance index Linear Quadratic control for autonomous soft landing of miniature helicopter is applied to unmanned helicopter. Simulation shows that the outputs of the system can respond the input signals accurately.

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Periodical:

Advanced Materials Research (Volumes 562-564)

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1442-1446

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August 2012

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] La Civita M, Papageorgiou G, Messner W C, Kanade T, Design and flight testing of a high-bandwidth H∞ loop shaping controller for a robotic helicopter, Journal of Guidance, Control, and Dynamics, (2006), 29(2), pp.485-494.

DOI: 10.2514/6.2002-4836

Google Scholar

[2] Kim S K, Tilbury D M Mathematical modelling and experimental identification of a model helicopter, Journal of Robotic Systems, (2004)21(3), pp.95-116.

Google Scholar

[3] Kim H J, Shim D H A flight control system for aerial robots: algorithms and experiments, Control Engineering Practice, (2003), 11(12), pp.1351-1515.

DOI: 10.1016/s0967-0661(03)00100-x

Google Scholar

[4] Kadmiry B, Bergsten P, Driankov D Autonomous helicopter using fuzzy gain scheduling, Proceedings of the IEEE Conference on Robotic and Automation ICRA, (2001), pp.2980-2985.

DOI: 10.1109/robot.2001.933074

Google Scholar

[5] Shim H, Koo T J, Hoffman F, Sastry S, A comprehensive study of control design of an autonomous helicopter, In: Proceedings of the 37th IEEE Conference on Decision and Control, (1998), pp.3653-3658.

DOI: 10.1109/cdc.1998.761749

Google Scholar

[6] Koo T J, Hoffman F, Shim H, Sinopoli B, Sastry S, Hybrid control of model helicopters, In: Proceedings of the IFAC Workshop on Motion Control, (1998), pp.285-290.

Google Scholar

[7] Oh S, Pathak K, Agrawal S K, Pota H R, Garratt M Approaches for a tether guided landing of an autonomous helicopter, IEEE Transactions on Robotics, (2006)22(3), pp.536-544.

DOI: 10.1109/tro.2006.870657

Google Scholar

[8] Isidori A, Marconi L, Serrani A, Robust nonlinear motion control of a helicopter, IEEE Transactions on Automatic Control, (2003), 48(3), pp.413-426.

DOI: 10.1109/tac.2003.809147

Google Scholar

[9] http: /model. hirobo. co. jp/products/0412-934/0412934. html.

Google Scholar

[10] http: /www. micropilot. com/products-mp2028h. html.

Google Scholar

[11] Guowei Cai, Alvin K. Cai, Ben M. Chen and Tong H. Lee, Construction, Modeling and Control of a Mini Autonomous UAV Helicopter, Proceedings of the IEEE International Conference on Automation and Logistics . Qingdao, China September (2008).

DOI: 10.1109/ical.2008.4636193

Google Scholar

[12] F.L. Lewis, Optimal Control, John Wiley & Sons, New York, (1986).

Google Scholar

[13] G.F. Franklin, J.D. Powell, and M.L. Workman, Digital Control of Dynamic Systems, Third Ed., Addison-Wesley, Reading, MA (1998).

Google Scholar

[14] B.D.O. Anderson and J.B. Moore, Linear Optimal Control, Prentice-Hall, NJ (1971).

Google Scholar

[15] The HMathworksH Inc, MATLAB User's Guide, Natrick, Massachusetts, (2010).

Google Scholar