×

Nonlinear modelling and control of helicopters. (English) Zbl 1029.93046

This paper presents the development of a nonlinear helicopter model in vertical flight (takeoff, climbing, hover, decent and landing). Such a mathematical model is much simpler than the “free-flying” case and may be limited only to 3-DOF. In control design the authors assume that the operation is split into two main phases: 1. start up and takeoff and 2. vertical flight. In the first phase, the feedback control has to guarantee asymptotic stability of the tracking errors when the helicopter is at rest on the ground and at takeoff. In the second phase the helicopter takes off, and the controller guarantees the asymptotic tracking of the preceding errors. The robustness properties are studied by computing a quadratic criterion which includes all main coordinates. The experimental model was mounted on a platform, thereby avoiding the ground effect. So the effects of compressed air in takeoff and landing are neglected. The authors state that because the generalized forces are nonlinear, the resulting control problem is different than the one usually considered in the literature.

MSC:

93C95 Application models in control theory
93A30 Mathematical modelling of systems (MSC2010)
93B51 Design techniques (robust design, computer-aided design, etc.)
Full Text: DOI

References:

[1] Abbott, I. H.; Von Doenhoff, A. E., Theory of wing sections (1949), Dover: Dover New York
[2] Avila-Vilchis, J. C. (2001). Modélisation et commande d’hélicoptère; Avila-Vilchis, J. C. (2001). Modélisation et commande d’hélicoptère
[3] Avila-Vilchis, J. C., & Brogliato, B. (2000). Nonlinear passivity-based control for a scale model helicopter. In 26th European Rotorcraft Forum; Avila-Vilchis, J. C., & Brogliato, B. (2000). Nonlinear passivity-based control for a scale model helicopter. In 26th European Rotorcraft Forum
[4] Avila-Vilchis, J. C., Brogliato, B., & Lozano, R. (2000). Modélisation d’hélicoptère; Avila-Vilchis, J. C., Brogliato, B., & Lozano, R. (2000). Modélisation d’hélicoptère
[5] Kaloust, J.; Ham, C.; Qu, Z., Nonlinear autopilot control design for a 2-dof helicopter model, IEE Proceedings on Control Theory and Applications, 144, 6, 612-616 (1997) · Zbl 0900.93226
[6] Khalil, H. K., Nonlinear systems (1996), Prentice-Hall: Prentice-Hall Englewood Cliffs, NJ · Zbl 0626.34052
[7] Kienitz, K., Wu, Q., & Mansour, M. (1990). Robust stabilization of a helicopter model. In Proceedings of the 29th Conference on Decision and Control; Kienitz, K., Wu, Q., & Mansour, M. (1990). Robust stabilization of a helicopter model. In Proceedings of the 29th Conference on Decision and Control
[8] Koo, T. J., Hoffmann, H., Sinopoli, B., & Sastry, S. (1998). Hybrid control of an autonomous helicopter. In Preprints of the third IFAC International Workshop on Motion Control; Koo, T. J., Hoffmann, H., Sinopoli, B., & Sastry, S. (1998). Hybrid control of an autonomous helicopter. In Preprints of the third IFAC International Workshop on Motion Control
[9] Koo, T. J., & Sastry, S. (1998). Output tracking control design of a helicopter model based on approximate linearization. In 37th IEEE Conference on Decision and Control; Koo, T. J., & Sastry, S. (1998). Output tracking control design of a helicopter model based on approximate linearization. In 37th IEEE Conference on Decision and Control
[10] Mahony, R., & Lozano, R. (1999). An energy based approach to the regulation of a model helicopter near to hover. In European Control Conference; Mahony, R., & Lozano, R. (1999). An energy based approach to the regulation of a model helicopter near to hover. In European Control Conference
[11] McCormick, B. W., Aerodynamics, Aeronautics and Flight Mechanics (1995), Wiley: Wiley New York
[12] Mukherjee, R.; Chen, D., Control of free-flying underactuated space manipulators to equilibrium manifolds, IEEE Transactions on Robotics and Automation, 9, 5, 561-570 (1993)
[13] Phillips, C.; Karr, C. L.; Walker, G., Helicopter flight control with fuzzy logic and genetic algorithms, Engineering Applications in Artificial Intelligence, 2, 9, 175-184 (1996)
[14] Prouty, R. W., Helicopter performance, stability and control (1995), Krieger: Krieger New York
[15] Reyhanoglu, M.; Van der Schaft, A.; McClamroch, N. H.; Kolmanovsky, I., Dynamics and control of a class of underactuated mechanical systems, IEEE Transactions on Automatic Control, 44, 9, 1663-1671 (1999) · Zbl 0958.93078
[16] Rozak, J. N.; Ray, A., Robust multivariable control of rotorcraft in forward flight, American Helicopter Society, 43, 3, 149-160 (1997)
[17] Shim, H., Koo, T. J., Hoffman, F., & Sastry, S. (1998). A comprehensive study of control design for an autonomous helicopter. In 37th IEEE Conference on Decision and Control; Shim, H., Koo, T. J., Hoffman, F., & Sastry, S. (1998). A comprehensive study of control design for an autonomous helicopter. In 37th IEEE Conference on Decision and Control
[18] Sira-Ramı́rez, H.; Zribi, M.; Ahmed, S., Dynamical sliding mode control approach for vertical flight regulation in helicopters, IEE Proceedings on Control Theory and Applications, 141, 1, 19-24 (1994) · Zbl 0800.93614
[19] Stepniewsky, W. Z., Rotor-wing aerodynamics, Basic Theories of Rotor Aerodynamics (1984), Dover: Dover New York
[20] Tchen-Fo, F., Allain, C., & Desopper, A. (2000). Improved vortex ring model for helicopter pitch up prediction. In 26th European Rotorcraft Forum; Tchen-Fo, F., Allain, C., & Desopper, A. (2000). Improved vortex ring model for helicopter pitch up prediction. In 26th European Rotorcraft Forum
This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. In some cases that data have been complemented/enhanced by data from zbMATH Open. This attempts to reflect the references listed in the original paper as accurately as possible without claiming completeness or a perfect matching.