Abstract
This paper studies the fault detection problem for a class of hypersonic vehicle with actuator faults, disturbances and random noises. To handle the unknown disturbances, an unknown input Kalman filter (UIKF) is presented to estimate the unknown system states and disturbances, simultaneously. Considering that the closed-loop structure brings the robustness to the hypersonic vehicle, which could cover some faults, the Total Measurable Fault Information Residual (ToMFIR) is employed as the fault detection residual. Moreover, to deal with the random noises, the hypothesis testing method is utilized to obtain the thresholds under some fault detection performances (false alarm rate and missing alarm rate). The fault detectability condition is also derived. Finally, the simulations verify the effectiveness of the proposed fault detection method.
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This work is supported by National Nature Science Foundation of China under Grant 61922042, 61773201, 61773201, and 61673207, the 111 project (B20007), Qing Lan Project, in part by the Fundamental Research Funds for the Central Universities under Grant NC2020002, NP2020103, and in part by National Key Laboratory of Science and Technology on Helicopter Transmission (Nanjing University of Aeronautics and Astronautics) under Grant HTL-O-19G11.
Xunhong Lv obtained her Ph.D. degree in the College of Automation Engineering, Nanjing University of Aeronautics and Astronautics. Her research interests are fault tolerant flight control, system identification and fault tolerant flight control computer system.
Yifan Fang received her B.S. degree in automation engineering from Nanjing University of Aeronautics and Astronautics, China, in 2017. She is currently pursuing a Master’s degree from the College of Automation Engineering in Nanjing University of Aeronautics and Astronautics, Nanjing, China. Her current research interests include adaptive fault-tolerant control and
Zehui Mao received her Ph.D. degree in control theory and control engineering from Nanjing University of Aeronautics and Astronautics, Nanjing, China, in 2009. She is now a professor at the College of Automation Engineering in Nanjing University of Aeronautics and Astronautics, China. She has won the Outstanding Youth Science Foundation Project. She worked in the areas of fault diagnosis, with particular interests in nonlinear control systems, sampled-data systems and networked control systems. Her current research interests include fault diagnosis and fault-tolerant control of systems with disturbance and incipient faults, and high speed train and spacecraft flight control applications.
Bin Jiang received his Ph.D. degree in automatic control from Northeastern University, Shenyang, China, in 1995. He had ever been a Post-Doctoral Fellow, a Research Fellow, an Invited Professor, and a Visiting Professor in Singapore, France, USA, and Canada, respectively. He is currently a Chair Professor of Cheung Kong Scholar Program with the Ministry of Education and the Vice President of Nanjing University of Aeronautics and Astronautics, Nanjing, China. He won the second class Prize of National Natural Science Award of China. He is a Fellow of Institute of Electrical and Electronics Engineers (IEEE), and also a Fellow of Chinese Association of Automation (CAA). He currently serves as an Associate Editor or an Editorial Board Member for a number of journals, such as the IEEE Trans. On Cybernetics, Journal of the Franklin Institute, Neurocomputing at. He is a Chair of Control Systems Chapter in IEEE Nanjing Section, a member of IFAC Technical Committee on Fault Detection, Supervision, and Safety of Technical Processes. His research interests include fault diagnosis and fault tolerant control and their applications in aircrafts, satellites and high-speed trains.
Ruiyun Qi received her B.E. degree in automatic control from University of Science and Technology of China in 2001, and a Ph.D. degree in electrical engineering from University of Birmingham, UK, in 2007. She joined the College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, in 2008. Now she is a professor. Her research interests include fuzzy adaptive control, fault-tolerant control and their applications.
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Lv, X., Fang, Y., Mao, Z. et al. Fault Detection for A Class of Closed-loop Hypersonic Vehicle System via Hypothesis Test Method. Int. J. Control Autom. Syst. 19, 350–362 (2021). https://doi.org/10.1007/s12555-019-0906-7
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DOI: https://doi.org/10.1007/s12555-019-0906-7