Sliding mode methods for fault detection and fault tolerant control with application to aerospace systems

Abstract

Sliding mode methods have been historically studied because of their strong robustness properties with regard to a certain class of uncertainty, achieved by employing nonlinear control/injection signals to force the system trajectories to attain in finite time a motion along a surface in the state-space. This paper will consider how these ideas can be exploited for fault detection (specifically fault signal estimation) and subsequently fault tolerant control. It will also describe applications of these ideas to aerospace systems, including piloted flight simulator results associated with the GARTEUR AG16 Action Group on Fault Tolerant Control. The results demonstrate a successful real-time implementation of the proposed fault tolerant control scheme on a motion flight simulator configured to represent the post-failure EL-AL aircraft.

Retrofit fault‐tolerant tracking control design of an unmanned quadrotor helicopter considering actuator dynamics

“…Eventually, substituting Equations 25 and 26 into Equation 24, one can achieve the following inequality:…”

Entwurf robuster modellbasierter Fehlerisolationsfilter

“…Diese Art der Rückführung führt unter gewissen Voraussetzungen [64] dazu, dass der Schätzwertf mindestens asymptotisch gegen den tatsächlichen Fehlervektor f konvergiert. Eine umfassendeÜbersicht zur Anwendung von Sliding-ModeBeobachtern für die Fehlerdetektion und -isolation findet sich in [65].…”

“…Die explizite Berücksichtigung von Robustheitsaspekten erfolgt unter anderem in [72,157,213,215]. Weiterführende Ergebnisse erlauben darüber hinaus beispielsweise die Anwendung auf linear parameterveränderliche Systeme [5], Klassen nichtlinearer Systeme [37] sowie die Fehlerdiagnose in dezentralen [267] und stochastischen [82] Systemen und Erweiterungen auf fehlertolerante Regelungen [64].…”

Supervisory Fault Tolerant Control of the GTM UAV Using LPV Methods

“…Numerous results have been proposed related to both the approaches in the past few years (Ganguli et al, 2002;Alwi et al, 2011;Edwards et al, 2012). More recently, in numerous research projects within the EU FP7 framework, focus on the environmental impact of the aircraft and hence higher performance is required from the flight control system, with certifiable algorithms, leading to a paradigm shift from robust passive FTC towards active methods relying on switching, gain scheduled or linear parameter-varying (LPV) methods.…”