Intelligent Adaptive Control of a Tailless Advanced Fighter Aircraft Under Wing Damage

Abstract

In this paper we propose an intelligent adaptive recone gurable control scheme for a Tailless Advanced Fighter Aircraft (TAFA) in thepresence of wing damage. The schemeconsists offailuredetection using multipleobservers, multiple reference models for changing the desired performance on-line in the case of damage, on-line estimation ofthepercentage-of-damage parameter, and the corresponding adaptiverecone gurablecontroller augmented with an output error feedback term. The overall scheme results in fast and accurate failure detection and identie cation and control recone guration and is demonstrated analytically to be stable in the sense that all signals are bounded and the output error converges to zero asymptotically even in the case of 100% wing damage. The properties of the proposed intelligent adaptive controller are evaluated through numerical simulations on a TAFA model in thepresence of largenoise, actuatordynamics, position and ratelimitson the control effectors, and 100% wing damage, and the proposed approach results in excellent overall performance.