A Self-Repairing Control for the Uncertain System of a Helicopter Using Adaptive Sliding Mode Technology

Article Preview

Abstract:

In this paper, an adaptive control scheme is proposed for the uncertain flight control system of the helicopter with fault in vertical flight. The controller is designed using sliding mode theory and adaptive technology. In the controller, the nonlinear function is brought in, which can enlarge the small errors, and saturate the large errors. And it can make sure the good transient performances and stability of the helicopter flight control system. Finally, the simulation results of the nonlinear helicopter flight system illustrate the effectiveness and feasibility of the proposed scheme in the paper.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 468-471)

Pages:

529-533

Citation:

Online since:

February 2012

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2012 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Ioannis A. Raptis, Kimon P. Valavanis , and Wilfrido A. Moreno. A Novel Nonlinear Back-stepping Controller Design for Helicopters Using the Rotation Matrix.J. IEEE Transction on control systems technology.19, 465-473,2011.

DOI: 10.1109/tcst.2010.2042450

Google Scholar

[2] F.Y Chen, B. Jiang, K. Zhang. Direct self-repair control and actuator failures re-present techniques for civil aviation air craft. J. Inter national Journal of Innovative Computing, Information and Control, 5(2): 503-510,2009.

Google Scholar

[3] W. H. Dong, X. X. Sun, L. Yan, H. F. Song. Direct model reference Backstepping adaptive control. J. Control and Decisin.23(9),981-986,2008.

Google Scholar

[4] Fu-Hong Jhan, Jung-Shan Lin. Nonlinear and adaptive control design of a helicopter in vertical flight.J.Proceedings of 2011 8th Asian Control Conference (ASCC)., 217-222,2011.

Google Scholar

[5] R. Hou, F. Y. Chen, W. L. Luan. Direct Adaptive Control Of Faulty UAVs Based on the Paralleled Integral and Fuzzy Control. J. Proceedings of the 2011 International Conference on Advanced Mechatronic Systems. 522-555,2011.

Google Scholar

[6] Gerard S, Gopisetty S M, Stengel R F. A fuzzy logic-parity space approach to actuator failure detection and identification .C.Reno:36th Aero space sciences Meeting&Exhibit1998.

DOI: 10.2514/6.1998-1014

Google Scholar

[7] J. C Lu , Q. Ling , J. M Zhang . Lateral control law design for helicopter using radial basis function neural network [ C ]//Proceeding s of the IEEE Inter national Conference on Automation and Logistics. [ s. n. ] , 2007: 2 807-2 812.

DOI: 10.1109/ical.2007.4339059

Google Scholar

[8] H. Z.Hong, Flying Wing UAV Reconfigurable Flight Control Using Sliding Mode .J .Fire Control and Command Control..3(11):116-119,2008.

Google Scholar

[9] Maktotoy,Yuzyrut,Kiyohiges. A design method of sliding modcontroller for sevo-systems subject to actuator saturation.J.JSME International Journall.Seriees,C.Mechanical systems,Machine Elements and manfacturing,46(3):96.-966,2003.

DOI: 10.1299/jsmec.46.960

Google Scholar

[10] P.LI,Zh,Q,Zhen. Sliding mode control approach with nonlinear integrator .J.Control Theory&Applications. 28(3):421-426,2011.

Google Scholar