Work

Asynchronously fault detection for flight vehicles with unstable modes via MDLF and MDADT method

Year: 2025

Type: article

Abstract: This research focuses on detecting faults in flight vehicles with unstable subsystems operating asynchronously. By accounting for asynchronous switching, a switched model is established, and filters for fault detection (FD) in unstable subsystems are developed. The FD challenge is then transformed into an H∞ filtering issue. Utilizing the multiple discontinuous Lyapunov function (MDLF) approach and the mode-dependent average dwell time (MDADT) method, sufficient conditions are derived to ensure stability during both fast and slow switching. Furthermore, the existence and solutions for FD filters are provided through linear matrix inequalities (LMIs). The simulation outcomes demonstrated the excellent performance of the developed method in studied cases.

Source: Defence Technology

DOI: 10.1016/j.dt.2025.03.016

Authors: Sheng Luo, Xin Liu, Yanfei Cheng, Shiyu Shuai, Haoyu Cheng

Institution: Northwestern Polytechnical University

Language: English

Topic: Stability and Control of Uncertain Systems

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: diamond

Funders: National Natural Science Foundation of China, Aeronautical Science Foundation of China

Awards: G3276374074, G6518235327, G7776541835, G809182100, G8987102063