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FAULT DETECTION, ISOLATION AND RECONSTRUCTION FOR DESCRIPTOR SYSTEMS

2008; Wiley; Volume: 7; Issue: 4 Linguagem: Inglês

10.1111/j.1934-6093.2005.tb00398.x

1934-6093

Tae–Kyeong Yeu, Hwan–Seong Kim, Shigeyasu Kawaji,

Anomaly Detection Techniques and Applications

Asian Journal of ControlVolume 7, Issue 4 p. 356-367 FAULT DETECTION, ISOLATION AND RECONSTRUCTION FOR DESCRIPTOR SYSTEMS Tae-Kyeong Yeu, Tae-Kyeong Yeu Ocean Development System Lab., KRISO/KORDI, 171 Jang-dong, Yusong-gu, Daejeon 305–600, Korea (e-mail: yeutk@kriso.re.kr). Tae-Kyeong Yeu: was born in Busan, Korea in 1973. He received the B.S. and M.S. degrees from Pukyong National University, Korea, in 1998 and 2000, respectively. He received the Ph.D. degree from Kumamoto University, Kumamoto, Japan in 2003. He is working in Korea Ocean Research and Development Institute, Korea. His interests are fault detection and isolation, robust control and control of deep-seabed mining system.Search for more papers by this authorHwan-Seong Kim, Hwan-Seong Kim Dept. of Logistics Eng., Korea Maritime University, 1 Dongsam-dong, Yeongdo-gu, Busan 606–791, Korea (e-mail: kimhs@mail.hhu.ac.kr). Hwan-Seong Kim: was born in Jeongup, Korea in 1965. He received the B.S. and M.S. degrees from Pusan National Fisheries University, Korea, in 1991 and 1993, respectively. He received the Ph.D. degree from Kumamoto University, Kumamoto, Japan in 1996. He is now an Associate Professor with the Department of Logistics, Korea Maritime University, Korea. His main researches are in the areas of observer, fault detection and isolation, and supervision of industrial processes.Search for more papers by this authorShigeyasu Kawaji, Shigeyasu Kawaji Graduate School of Science and Tech., Kumamoto University, 2–39-1 Kurokami, Kumamoto 860–8555, Japan (e-mail: kawaji@cs.kumamoto-u.ac.jp). Shigeyasu Kawaji: was born in Man-chukuo, China, on January 18, 1944. He received the M.E. degree in Electrical Engineering from Kumamoto University, Japan in 1969, and received Dr. degree from Tokyo Institute of Technology in 1980. He joined Kumamoto University in 1968 as a research assistant, and is currently with the Graduate School of Science and Technology. From 1994 to 1995, he was the Visiting Professor of University of California at Berlkeley, Harvard University, University of Toronto, and Ruhr University at Bochum. His research interests are robust control, nonlinear control, robotics, biped locomotion, intelligent control and their application.Search for more papers by this author Tae-Kyeong Yeu, Tae-Kyeong Yeu Ocean Development System Lab., KRISO/KORDI, 171 Jang-dong, Yusong-gu, Daejeon 305–600, Korea (e-mail: yeutk@kriso.re.kr). Tae-Kyeong Yeu: was born in Busan, Korea in 1973. He received the B.S. and M.S. degrees from Pukyong National University, Korea, in 1998 and 2000, respectively. He received the Ph.D. degree from Kumamoto University, Kumamoto, Japan in 2003. He is working in Korea Ocean Research and Development Institute, Korea. His interests are fault detection and isolation, robust control and control of deep-seabed mining system.Search for more papers by this authorHwan-Seong Kim, Hwan-Seong Kim Dept. of Logistics Eng., Korea Maritime University, 1 Dongsam-dong, Yeongdo-gu, Busan 606–791, Korea (e-mail: kimhs@mail.hhu.ac.kr). Hwan-Seong Kim: was born in Jeongup, Korea in 1965. He received the B.S. and M.S. degrees from Pusan National Fisheries University, Korea, in 1991 and 1993, respectively. He received the Ph.D. degree from Kumamoto University, Kumamoto, Japan in 1996. He is now an Associate Professor with the Department of Logistics, Korea Maritime University, Korea. His main researches are in the areas of observer, fault detection and isolation, and supervision of industrial processes.Search for more papers by this authorShigeyasu Kawaji, Shigeyasu Kawaji Graduate School of Science and Tech., Kumamoto University, 2–39-1 Kurokami, Kumamoto 860–8555, Japan (e-mail: kawaji@cs.kumamoto-u.ac.jp). Shigeyasu Kawaji: was born in Man-chukuo, China, on January 18, 1944. He received the M.E. degree in Electrical Engineering from Kumamoto University, Japan in 1969, and received Dr. degree from Tokyo Institute of Technology in 1980. He joined Kumamoto University in 1968 as a research assistant, and is currently with the Graduate School of Science and Technology. From 1994 to 1995, he was the Visiting Professor of University of California at Berlkeley, Harvard University, University of Toronto, and Ruhr University at Bochum. His research interests are robust control, nonlinear control, robotics, biped locomotion, intelligent control and their application.Search for more papers by this author First published: 22 October 2008 https://doi.org/10.1111/j.1934-6093.2005.tb00398.xCitations: 45 AboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat ABSTRACT In this paper, we consider fault detection, isolation and reconstruction problem for descriptor systems with actuator faults and sensor faults, respectively. When actuator faults exist in the system, the fault detection and isolation (FDI) problem is solved through an unknown input observer regarding remaining faults excluded a specified fault as unknown inputs. Whereas, in existing sensor faults, the fault detection is only achieved by the unknown input observer and residual signals. Since the derivative signal of sensor fault is generated in the error dynamics between the actual system and the derived observer. The main objective of this work attempts the reconstruction of the faults. The reconstruction can be achieved by sliding mode observer including feedforward injection map and compensation signal. Finally, the isolation problem of sensor faults is solved by reconstructing all of the faults. Citing Literature Volume7, Issue4December 2005Pages 356-367 RelatedInformation