Adaptive control experiments for LAAS "helicopter" benchmark

2005 International Conference on Physics and Control, PhysCon 2005, Proceedings

Volumn 2005, Issue , 2005, Pages 760-765

  Andrievsky, Boris ^a   Fradkov, Alexander ^a   Peaucelle, Dimitri ^b  

^a INSTITUTE OF PROBLEMS OF MECHANICAL ENGINEERING   (Russian Federation)

^b LAAS CNRS   (France)

Author keywords

Adaptive control; Autopilot design; Experimental results; Helicopter benchmark

Indexed keywords

BENCHMARKING; CLOSED LOOP CONTROL SYSTEMS; COMPUTER SIMULATION; CONTROL THEORY; HELICOPTERS; ROBUSTNESS (CONTROL SYSTEMS); SOFTWARE ENGINEERING;

AUTOPILOT DESIGN; EXPERIMENTAL RESULTS; HELICOPTER BENCHMARK; PARAMETRIC UNCERTAINTIES;

ADAPTIVE CONTROL SYSTEMS;

EID: 33746701434     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PHYCON.2005.1514087     Document Type: Conference Paper

References (27)

1. Fantoni, I., Lozano, R. Global stabilization of the cart-pendulum system using saturation functions. Proc. 42nd IEEE Conf. on Decision and Control, 9-12 Dec., 2003. V. 5, pp. 4393-4398.
2. Gromov, D. Raisch, J. Hybrid control of a cart-pendulum system with restrictions on the travel. Proc. Int. Conf. Physics and Control, St.Petersburg, 20-22 Aug. 2003, v. 4, pp. 1231-1235.
3. Furuta, K., Yamakita, M., Kobayasji, S. and M. Nishimura A new inverted pendulum apparatus for education. IFAC Symp. on Advances Contr. Education. Tokyo, 1994, pp.191-194.
4. Spong, M. W., Block, D. The Pendubot: A mechatronic systems for control research and education. Proc. IEEE CDC, New Orleans. 1996, pp. 555-556.
5. Unger, B.J., Nicolaidis, A., Thompson, A., Klatzky, R.L., Hollis, R.L., Berkelman, P.J., Lederman, S. Virtual peg-in-hole performance using a 6-DOF magnetic levitation haptic device: Comparison with real forces and with visual guidance alone. 10th Symp. Haptic Interfaces for Virtual Environment and Teleoperator Syst. March 24-25, 2002, p. 263.
6. Quanser Co, web-site: http://www.quanser.com/choice.asp.
7. LAAS-CNRS, web-site: http://www.laas.fr/.
8. Apkarian, J. Internet control. Circuit Cellar, Sept. 1999, Iss.110. www.circuitcellar.com.
9. Tanaka, K., Othake, H., Wang, O. A practical design approach to stabilization of a 3-DOF RC Helicopter. IEEE Trans. Control Syst. Technology, 2004, v. 12, No 2, pp.315-325.
10. Kutay, A.T., Calise, A.J., Idan, M., Hovakimyan, N. Experimental results on adaptive output feedback control using a laboratory model helicopter. IEEE Trans. Contr. Syst. Technol., v. 13, No. 2, pp. 196-202, Mar. 2005.
11. Chen, D.R., Chen, H.S., Wang, J.D. Comparison between the system identification and the neural network methods in identifying a model helicopter's yaw movement. Int. J. Nonlinear Sciences and Numerical Simulation, v. 3-4, 2002, pp. 391-394.
12. Chen, H.S., Chen, D.R. System identification of a model helicopter's yaw movement based on an operator's control. Int. J. Nonlinear Sciences and Numerical Simulation, v. 3-4, 2002, pp. 395-398.
13. Dzul, A., Lozano, R., Castillo, P. Adaptive control for a radio-controlled helicopter in a vertical flying stand. Int. J. Adapt. Control Signal Process., v. 18, 2004, pp. 473-485.
14. Fradkov, A.L.. Synthesis of adaptive system of stabilization of linear dynamic plants. Automation and Remote Control, vol.35, No. 12, 1974, pp. 1960-1966.
15. Translated from: Avtomatika i Telemekhanika, No. 12, pp. 96-103, 1974.
16. Andrievsky, B.R. and A.L Fradkov. Adaptive controllers with Implicit Reference Models based on Feedback Kalman-Yakubovich Lemma. 3rd IEEE Conf. on Control Applications, Glasgow, 1994, pp. 1171-1174.
17. Andrievsky, B.R., A.N. Churilov and A.L Fradkov. Feedback Kalman-Yakubovich Lemma and its applications to adaptive control. 35th IEEE Conf. Dec. Contr., Kobe, 11-13 Dec., 1996.
18. Fradkov, A.L. Quadratic Lyapunov Functions in the adaptive stability problem of a linear dynamic target. Translated from: Siberian Mathematical Journal, 1976, v. 17, No. 2, pp. 436-445.
19. Fradkov, A.L., Miroshnik, I.V. and V.O. Nikiforov. Nonlinear and Adaptive Control of Complex Systems. Dordrecht, Kluwer, 1999.
20. Fradkov A.L. Passification of nonsquare linear systems and Feedback Kalman-Yakubovich Lemma. Europ. J. Contr. 2003, v. 9, No 11.
21. Landau, J.D. Adaptive control systems. The model reference approach. N.-Y. Dekker. 1979.
22. Andrievsky, B.R., Stotsky, A.A., Fradkov, A.L. Velocity gradient algorithms in control and adaptation problems. Autom. Remote Control. 1989, pp. 1533-1564
23. (Translated from Automatica i telemechanica, 1988; 12).
24. Fradkov, A.L. Speed gradient scheme and its application in adaptive control problems. Autom. Rem. Contr. 1979, v. 40, No 9, pp. 1333-1342.
25. Fradkov, A.L. Adaptive control in large-scale complex systems. Nauka, Moscow, 1990 (in Russian).
26. Stotsky, A.A.. Combined adaptive and variable structure control. Variable Structure and Lyapunov Control, (Ed: A.S.I. Zinober), Springer-Verlag, London, 1994, pp. 313-333.
27. Utkin, V.I. Optimization and Control using Sliding Modes. Springer-Verlag, 1992.