Title: Sensor fault signal reconstruction based on sliding mode observer for flight control systems

Authors: Rui Wang; Chengjie Wang; Hui Sun; Zengqiang Chen; Yigang Sun

Addresses: College of Information Engineering and Automation, Civil Aviation University of China, Tianjin, 300300, China ' College of Information Engineering and Automation, Civil Aviation University of China, Tianjin, 300300, China ' College of Information Engineering and Automation, Civil Aviation University of China, Tianjin, 300300, China; Department of Engineering Design and Mathematics, University of the West of England, Frenchy Campus, Coldharbour Lane, Bristol, BS16 1QY, UK ' College of Computer and Control Engineering, Nankai University, Tianjin, 300071, China ' College of Aeronautical Engineering, Civil Aviation University of China, Tianjin, 300300, China

Abstract: The sensor-fault detection for linear systems with bounded unknown input disturbance is investigated in this paper. By non-singular linear transformation, the sensor-faults were converted equivalently into actuator failures. The residual generation was proposed which is robust to disturbance and sensitive to sensor faults. A sliding mode observer was further designed to give the estimation of residuals. The sensor faults can be detected and reconstructed by using the estimation of residuals. For typical sensor failure modes, the simulation results about the longitudinal model of aircraft show the effectiveness of the proposed method.

Keywords: sensor fault; sliding mode observer; fault detection; signal reconstruction.

DOI: 10.1504/IJMIC.2019.103665

International Journal of Modelling, Identification and Control, 2019 Vol.32 No.3/4, pp.204 - 211

Received: 17 Jan 2019
Accepted: 26 Feb 2019
Published online: 18 Nov 2019 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article