H∞Hover-to-Cruise Conversion for a Tilt-Wing Rotorcraft

• Published in: Proceedings of the 44th IEEE Conference on Decision and Control pp. 6486 - 6491
• Main Authors: Dickeson, J.J., Mix, D.R., Koenig, J.S., Linda, K.M., Cifdaloz, O., Wells, V.L., Rodriguez, A.A.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 2005
• Subjects: Aerodynamics; Aerospace control; Aircraft; Airplanes; Control systems; Helicopters; Mobile robots; Remotely operated vehicles; Robust control; Vehicle dynamics
• ISBN: 9780780395671; 0780395670
• ISSN: 0191-2216
• DOI: 10.1109/CDC.2005.1583202

This paper describes the development of robust, multi-variable H∞ control systems for the conversion of the High-Speed Autonomous Rotorcraft Vehicle (HARVee), an experimental tilt-wing aircraft. Tilt-wing rotorcraft combine the high-speed cruise capabilities of a conventional airplane with the hovering capabilities of a helicopter by rotating their wings at the fuselage. Changing between cruise and hover flight modes in mid-air is referred to as the conversion process, or simply conversion. A nonlinear aerodynamic model was previously developed that captures the unique dynamics of the tilt-wing aircraft. An H ∞ design methodology was used to develop cruise and hover control systems because it directly addresses multi-variable and robust design issues. The development of these control systems was governed not only by performance specifications at each particular operating point, but also by the unique requirements of a gain-scheduled conversion control system. The cruise and hover control designs form the basis for the conversion control system. The performance of the resulting conversion closed-loop systems is analyzed in the frequency and time domains. A tilt-wing rotorcraft Modeling, Simulation, Animation, and Real-Time Control (MoSART) software environment provides 3D visualization of the vehicle's dynamics. The environment is useful for conceptualizing the natural rotorcraft dynamics and for gaining an intuitive understanding of the closed-loop system performance.