Published May 21, 2007 | Version 9009

Helicopter Adaptive Control with Parameter Estimation Based on Feedback Linearization

Description

This paper presents an adaptive feedback linearization approach to derive helicopter. Ideal feedback linearization is defined for the cases when the system model is known. Adaptive feedback linearization is employed to get asymptotically exact cancellation for the inherent uncertainty in the knowledge of the given parameters of system. The control algorithm is implemented using the feedback linearization technique and adaptive method. The controller parameters are unknown where an adaptive control law aims to drive them towards their ideal values for providing perfect model matching between the reference model and the closed-loop plant model. The converged parameters of controller would then provide good estimates for the unknown plant parameters.

Files

9009.pdf

Files (140.8 kB)

Name Size
md5:f0ca021830f48aae1972a10cb87e63da
140.8 kB Preview Download

Additional details

References

  • Zhao Lu and Leang-San Shieh, "Adaptive feedback linearization control of chaotic systems--. Information Sciences 176, pp.2337-2354, 2006.
  • Qian Wang, Robert F. Stengel, "Robust control of nonlinear systems with parametric uncertainty," Automatica 38., pp. 1591 - 1599, 2002.
  • Himani Jain and N. Ananthkrishnan, "Parameter estimation of unstable, limit cycling systems using adaptive feedback linearization: example of delta wing roll dynamics," Journal of Sound and Vibration 287, pp. 939-960, 2005.
  • M. Sacki, J. Imura, and Y. Wada; "Flight control design of twin rotor helicopter model by 2 step exact linearization", Proc. of IEEE Int. Conf. on Control Applications, Vol.1, 146/151, 1999.
  • G. Mustafa and N. Iqbal , "Design for a Twin Rotor Helicopter Model Via Exact State Feedback", IEEE 2004.
  • Magnus Gafvert, "Modeling of the ETH Helicopter Process", Department of Automatic Control Lund Institute of Technology, November 2001.
  • S. S Sastry and A. Isidori, "Adaptive control of linearizable systems, -- IEEE Trans, Automat. Contr., vol. 34, pp. 1123-1131, Nov. 1989.
  • J. Descusse and C.H. Moog "Decoupling with dynamic compensation for strongly invertible affine nonlinear systems," Int. J Contr., no 42, pp. 1387-1398, 1985.
  • M. French and E Rogers, "Approximate Paramaterisations for Adaptive Feedback Linearisation,-- Conference on Decision & Control San Diego, California USA December 1997.