Robust Control Law for Advanced Flight Control System

Traditional explicit model-following (EMF) control and model reference adaptive control (MRAC) theories are employed to develop a reliable and robust control law for helicopter flight control system. The control law developed in this paper is attractive to the helicopter community due to the following two reasons: (1) ease of implementation with existing helicopter flight control systems (no major changes in flight software) and (2) highly robust to flight control system uncertainties such as nonlinearity effects and/or changes of flight conditions. This paper illustrates the design methodology for combining the traditional and adaptive control approaches to produce the robust controller for advanced rotorcraft flight control system. The combined robust control law is then applied to the Blackhawk UH-60 helicopter model, and its performance is tested and evaluated at various flight conditions.

[1]  H. Kaufman,et al.  Global stability and performance of a simplified adaptive algorithm , 1985 .

[2]  P. D. Talbot,et al.  A mathematical model of a single main rotor helicopter for piloted simulation , 1982 .

[3]  Quang M. Lam,et al.  Adaptive control applied to Space Station attitude control system , 1992 .

[4]  E. Kreindler,et al.  Model-following in linear-quadratic optimization , 1976 .

[5]  J. P. Hill,et al.  Investigation of robust adaptive control laws for flight control system implementation , 1992, [Proceedings 1992] The First IEEE Conference on Control Applications.

[6]  Gerhard Bouwer,et al.  A Piloted Simulation of a Model Following Control System , 1986 .

[7]  P.J. Antsaklis,et al.  Parameter learning for performance adaptation , 1990, IEEE Control Systems Magazine.

[8]  A. Guez,et al.  Neuromorphic adaptive control , 1989, Proceedings of the 28th IEEE Conference on Decision and Control,.

[9]  William L. Garrard,et al.  DESIGN OF A MULTIVARIABLE HELICOPTER FLIGHT CONTROL SYSTEM FOR HANDLING QUALITIES ENHANCEMENT. , 1987 .

[10]  Izhak Bar-Kana,et al.  Absolute Stability and Robust Discrete Adaptive Control of Multivariable Systems , 1989 .

[11]  H. Kaufman,et al.  Simple adaptive control of uncertain systems , 1988 .

[12]  Richard S. Sutton,et al.  Neuronlike adaptive elements that can solve difficult learning control problems , 1983, IEEE Transactions on Systems, Man, and Cybernetics.

[13]  Mark B. Tischler,et al.  Assessment of Digital Flight-Control Technology for Advanced Combat Rotorcraft , 1989 .

[14]  Derrick H. Nguyen,et al.  Neural networks for self-learning control systems , 1990 .

[15]  Robert H. Bishop,et al.  Spacecraft nonlinear control , 1992 .

[16]  B. K. Townsend.  The application of quadratic optimal cooperative control synthesis to a CH-47 helicopter , 1986 .

[17]  Izhak Bar-Kana,et al.  Adaptive Control: A Simplified Approach , 1987 .