A new iterative approach for multi-objective fault detection observer design and its application to a hypersonic vehicle

• Published in: International journal of control 2018-03, Vol.91 (3), p.554-570
• Main Authors: Huang, Di, Duan, Zhisheng
• Format: Article
• Language: English
• Subjects: Computer simulation; Fault detection; Hypersonic vehicles; index; iterative algorithms; Iterative methods; linear matrix inequality; Matrix methods; Monte Carlo simulation; Multiple objective analysis; robustness
• ISSN: 0020-7179; 1366-5820
• DOI: 10.1080/00207179.2017.1286044

This paper addresses the multi-objective fault detection observer design problems for a hypersonic vehicle. Owing to the fact that parameters' variations, modelling errors and disturbances are inevitable in practical situations, system uncertainty is considered in this study. By fully utilising the orthogonal space information of output matrix, some new understandings are proposed for the construction of Lyapunov matrix. Sufficient conditions for the existence of observers to guarantee the fault sensitivity and disturbance robustness in infinite frequency domain are presented. In order to further relax the conservativeness, slack matrices are introduced to fully decouple the observer gain with the Lyapunov matrices in finite frequency range. Iterative linear matrix inequality algorithms are proposed to obtain the solutions. The simulation examples which contain a Monte Carlo campaign illustrate that the new methods can effectively reduce the design conservativeness compared with the existing methods.