A Learn-to-Fly Approach for Adaptively Tuning Flight Control Systems

Abstract

A method is presented for adaptively tuning feedback control gains in a flight control system to achieve desired closed-loop performance. The method combines efficient parameter estimation for identifying closed-loop dynamics models, with online nonlinear optimization for sequentially perturbing and updating control gains to improve performance. Prior information on stability and control derivatives is not needed, nor is any knowledge about the control system architecture. Following convergence, the optimized control gains (with uncertainties), the open-loop dynamics model, and the closed-loop dynamics model are available. The method is demonstrated for tuning a longitudinal stability augmentation system using a realistic nonlinear flight dynamics simulation of the NASA FASER airplane. Convergence was attained using five piloted maneuvers that spanned approximately one minute of flight test time. Although demonstrated for a relatively simple case, the method is general and can be applied to other aircraft, axes, performance metrics, and control systems.

Flight-Propulsion Integration Dynamic Analysis and Adaptive Control of the Hypersonic Vehicle at Wide-Range Mach Numbers

“…The advantages of L2F include the use of aerodynamic models based on real-time identification of flight data in the control law design. Therefore, there is no need to modify the Reynolds number, blockage, boundary layer turbulence, etc [15][16][17]. The control system design is developed based on the actual flight dynamics response rather than the simulation results.…”

Online Control Design for Learn-to-Fly

“…The work presented here is part of a feasibility study of the Learn-to-Fly concept. While other modeling and control techniques could also be employed [4,5], this paper examines two approaches to the Learn-to-Fly online control design problem. One approach is based on a nonlinear dynamic inversion method with the addition of an adaptive disturbance rejection module.…”