Bridging the gap between theory and practice in LPV fault detection for flight control actuators

Abstract

a b s t r a c tTwo different approaches for fault detection, the geometric and the detection filter based methods, are compared in the paper from practical aspects, using the linear parameter-varying (LPV) framework. Presenting two designs allows a comparison of global, system level, and local component level fault detection methods with special emphasis on their relevance to aircraft industry. Practical engineering design decisions are highlighted via applying them to a high-fidelity commercial aircraft problem. The successive steps of the design, including fault modeling, LPV model generation, and LPV FDI filter synthesis, including implementation aspects, are discussed. Results are presented according to the industrial assessment perspectives phrased within the EU ADDSAFE project.

Sensor redundancy based FDI using an LPV sliding mode observer

“…These observers contain nonlinear injection terms driven by the output estimation errors and are quite different from the Luenberger LPV observers which exist in the literature (e.g. [3,4,5,6,7,8,9,10,11,12,13]). Sliding mode observers typically create a residual signal which is robust against uncertainties so that faults/failures can be reconstructed rather than just being detected.…”

Development and evaluation of an integral sliding mode fault‐tolerant control scheme on the RECONFIGURE benchmark

“…The topic of FTC has been widely developed in the last decade, [4][5][6][7][8][9] and many different paradigms have subsequently been applied to the problem of fault-tolerant flight control. [10][11][12] For instance, control allocation (CA), [13][14][15][16] modular or physical approaches, [17][18][19] model predictive control, 20,21 backstepping/nonlinear dynamic inversion, [22][23][24] set invariant methods, 25  ∞ approaches, 4,26 and extensions to linear parameter-varying (LPV) systems [27][28][29][30][31][32] have investigated. In recent years, adaptive controllers have been studied and particularly those in an l 1 framework have also seen a renaissance.…”

Application of model-based LPV actuator fault estimation for an industrial benchmark

“…Recently, the application of linear parameter varying (LPV) concepts to system modelling, control and FDD have also received much attention (Balas, 2002;Bokor & Balas, 2004;Henry, 2008;Sato, 2010;Wei & Verhaegen, 2011a;Hecker & Pfifer, 2014;Alwi & Edwards, 2014;Henry et al, 2014;Varga & Ossmann, 2014;Vanek et al, 2014;Chen et al, 2016;Rodonto et al, 2015;Ossmann & Varga, 2015;Rotondo et al, 2015;Alwi et al, 2015). Nevertheless, the technical demands of model-based FDD, especially for the FDD problem based on using LPV, are still quite limited and restrictive in the aerospace industry (Zolghadri, 2012).…”

“…The ADDSAFE project benchmark was provided to several academic and industrial partners involved in this project to evaluate the efficiency of their FDD approaches on various fault scenarios (Alwi & Edwards, 2014;Henry et al, 2014;Varga & Ossmann, 2014;Vanek et al, 2014;Van Eykeren & Chu, 2014). The benchmark model is highly representative of a generic twin engine civil commercial aircraft including the nonlinear rigid-body aircraft model with a full set of control surfaces, actuator models, sensor models, flight control laws and pilot inputs.…”