Robust Adaptive Sliding-Mode Control for Damaged Fixed-Wing UAVs

TL;DR

This paper introduces a robust adaptive sliding mode controller for fixed-wing UAVs that maintains stability and performance despite aerodynamic damage and control surface impairments.

Contribution

It develops a damage-aware flight model and a gain adaptation law to enhance UAV robustness, with stability guarantees proven via Lyapunov methods.

Findings

Controller maintains stable flight despite damage

Simulation results show bounded tracking errors

Gain adaptation improves robustness under uncertainties

Abstract

Many unmanned aerial vehicles (UAVs) can remain aerodynamically flyable after sustaining structural or control surface damage, yet insufficient robustness in conventional autopilots often leads to mission failure. This paper proposes a robust adaptive sliding mode controller (RASMC) for fixed-wing UAVs subject to aerodynamic coefficient perturbations and partial loss of control surface effectiveness. A damage-aware flight dynamics model is developed to systematically analyze the impact of such impairments on the closed-loop behavior. The RASMC is designed to ensure reliable tracking and stabilization, while a gain adaptation law maintains low control effort under nominal conditions and increases the gains as needed in the presence of aerodynamic damage. Lyapunov-based stability guarantees are derived, and assumptions on admissible uncertainty bounds are formulated to characterize the limits within which closed-loop stability and performance can be ensured. The proposed controller is implemented within an existing UAV autopilot framework, where outer-loop guidance and speed control modules provide reference commands to the RASMC for attitude stabilization. Simulations demonstrate that, despite significant damage, all closed-loop states remain stable with bounded tracking errors.