Reconfiguration control method for non-redundant actuator faults on unmanned aerial vehicle

Abstract

In this article, an indirect continuous and discrete Fault-Tolerant Control scheme is applied to the longitudinal dynamics of a fixed-wing unmanned aerial vehicle. To address the problem raised by a possible engine fault, the FTC method is adapted to non-redundant actuator faults by considering signatures on residuals, designing discounted cost optimal controllers, using rolling horizon techniques and considering actuator dynamics in the state equation. The efficiency of the proposed approach is demonstrated on a scenario involving thrust and elevon faults during a landing procedure.

Keywords

Unmanned aerial vehicle Fault-Tolerant Control fault detection and isolation Kalman filter

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References

Zhang

Jiang

. Bibliographical review on reconfigurable fault-tolerant control systems. Ann Rev Contr 2008; 32: 229–252.

Jiang

. Fault-tolerant control systems: A comparative study between active and passive approaches. Ann Rev Contr 2012; 36: 60–72.

Hwang

Kim

, et al. A survey of fault detection, isolation, and reconfiguration methods. IEEE Trans Contr Syst Technol 2010; 18: 636–653.

Zhang

Jiang

. Active fault-tolerant control system against partial actuator failures. IEE Proceed Contr Theory Appl 2002; 149: 95–104.

Zhang

Jiang

. Integrated active fault-tolerant control using imm approach. IEEE Trans Aerosp Electron Syst 2001; 37: 1221–1235.

Boche A, Farges JL and De Plinval H. A continuous and discrete framework for reconfiguration of control of faulty systems. In: 2016 IEEE symposium series on computational intelligence, pp.1–8. Piscataway: IEEE.

Boche

Farges

De Plinval

. Reconfiguration control method for multiple actuator faults on UAV. IFAC PapersOnLine 2017; 50: 12691–12697.

Lesprier J, Biannic JM and Roos C. Modeling and robust nonlinear control of a fixed-wing uav. In: IEEE conference on control applications, pp.1334–1339. Piscataway: IEEE.

Sircoulomb V, Hoblos G, Chafouk H et al. Analyse et comparaison de techniques d’estimation d’état sous contraintes inégalité non linéaires. In: 5ème Conférence Internationale Francophone d’Automatique, CIFA’2008, p. CDROM. Union des Chercheurs Ingénieurs Scientifiques.

10.

Raol JR, Girija G and Singh J. Modelling and parameter estimation of dynamic systems (volume 65). London: IET, 2004.

11.

Bertsekas DP, Bertsekas DP, Bertsekas DP, et al. Dynamic programming and optimal control (volume 1). Belmont: Athena Scientific, 1995.

12.

Liu H and Zhong M. A nonlinear version of the generalized likelihood ratio test. In: 33rd Chinese control conference, pp.3175–3180. Piscataway: IEEE, 2014.