Robust Flight Control System Design with Cerebellar Model Articulation Controller

Y.J. Huang; T.C. Kuo; C. Y. Chen; B.W. Hong; P. C. Wu

doi:10.4028/www.scientific.net/AMM.145.579

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 145Robust Flight Control System Design with...

Robust Flight Control System Design with Cerebellar Model Articulation Controller

Abstract:

This paper presents a robust proportional-derivative (PD) based cerebellar model articulation controller (CMAC) for vertical take-off and landing flight control systems. It is known that PD control is a simple and effective control method. However, it does not ensure the robustness if it is used alone for uncertain systems. CMAC can be used for robust control. However, it requires training patterns for tuning some weighting factors. A novel CMAC incorporating with a PD controller design is proposed in this paper. Successful on-line training and recalling process of CMAC accompanying the PD controller was developed. The advantage of the proposed method is mainly the robust tracking performance against aerodynamic parametric variation and external wind gust. Even when the PD controller is not designed well, the CMAC is capable of doing a robust tracking control through on-line recalling and training procedures.

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Periodical:

Applied Mechanics and Materials (Volume 145)

Pages:

579-582

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.145.579

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Online since:

December 2011

Authors:

Y.J. Huang, T.C. Kuo, C. Y. Chen, B.W. Hong, P. C. Wu

Keywords:

Cerebellar Model Articulation Controller, Flight Control, Landing, Proportional-Derivative Control, Robustness, Vertical Takeoff

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References

[1] M. Saeki and Y. Sakaue, Flight control design for nonlinear non-minimum phase VTOL aircraft via two-step linearization, Proceedings of the IEEE Conference on Decision and Control, (2001), pp.217-222.

DOI: 10.1109/cdc.2001.980101

Google Scholar

[2] K. D. Do, Z. P. Jiang, and J. Pan, On global tracking control of a VTOL aircraft without velocity measurements, IEEE Trans. Automatic Control. 48, 12 (2003).

DOI: 10.1109/tac.2003.820148

Google Scholar

[3] Y. J. Huang, T. C. Kuo, and H. K. Way, Robust vertical takeoff and landing aircraft control via integral sliding mode, IEE Proceedings - Control Theory and Applications. 150, 4 (2003).

DOI: 10.1049/ip-cta:20030593

Google Scholar

[4] K. H. Ang, G. Chong, and Y. Lin, PID control system analysis, design, and technology, IEEE Trans. Control System Technology. 13, 4 (2005).

DOI: 10.1109/tcst.2005.847331

Google Scholar

[5] I W. Yu, M. A. Moreno-Armendariz, and F. O. Rodriguez, Stable adaptive compensation with fuzzy CMAC for an overhead crane, Information Sciences. (2009).

DOI: 10.1016/j.ins.2009.06.032

Google Scholar

[6] M. A. Moreno-Armendáriz, C. A. Pérez-Olvera, F. O. Rodríguez, and E. Rubio, Indirect hierarchical FCMAC control for the ball and plate system, Neurocomputing, 73, 13 (2010).

DOI: 10.1016/j.neucom.2010.03.023

Google Scholar