Abstract
Issues regarding the design of midcourse guidance laws for antimissiles are addressed. The antimissile is expected to be guided to a place with a desired direction, where a ballistic missile is predicted to pass in the reverse direction, so that the target can be easily found and locked for terminal interception. The predicted location and direction of a ballistic missile may vary with time, due to information update using a trajectory prediction algorithm. To fulfill the guidance performance, the guidance laws are designed by combining the Takagi-Sugeno (T-S) fuzzy approach and the Sliding Mode Control (SMC) technique. Under the designed guidance law, it is shown that the antimissile is able to be efficiently guided to a specified location and direction, even when the existence of uncertainties and disturbances.
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Recommended by Editor-in-Chief Jin Bae Park. This research was supported by the Chung-San Institute of Science and Technology, National Science Council, Taiwan, R.O.C., under Grants NSC 94-2623-7-009-005, NSC 95-2623-7-009-007-D and NSC 96-2623-7-009-013-D.
Chun-Hone Chen received his Ph.D. degree in Institute of Electrical and Control Engineering from the National Chiao Tung University, Hsinchu, Taiwan, R.O.C. in 2002. Currently, he is an Associate Research Fellow in Missile and Rocket System Research Division of Chung-Shan Institute of Science and Technology, Taoyuan, Taiwan, R.O.C.
Yew-Wen Liang was born in Taiwan, Republic of China, in 1960. He received his B.S. degree in Mathematics from Tung Hai University, Taichung, Taiwan, R.O.C., in 1982, an M.S. degree in Applied Mathematics in 1984, and a Ph.D. degree in Electrical and Control Engineering in 1998 from National Chiao Tung University, Hshinchu, Taiwan, R.O.C. Since August 1987, he has been with the National Chiao Tung University, where he is currently an Associate Professor of Electrical and Control Engineering. His research interests include nonlinear control systems, reliable control, and fault detection and diagnosis issues.
Der-Cherng Liaw received his B.S. degree in Control Engineering from National Chiao Tung University, Hshinchu, Taiwan, Republic of China, in 1982, an M.S. degree in Electrical Engineering from the National Taiwan University in 1985 and a Ph.D. degree in Electrical Engineering from University of Maryland, College Park, in 1990. He is currently a senior member of IEEE. During1990–1991, he was a post-doctoral fellow with the Institute for Systems Research, University of Maryland for one year. Since August 1991, he has been with the National Chiao Tung University, where he is currently a Professor of Electrical and Control Engineering. During 1994–1995, he was the Director of the Institute of Control Engineering, National Chiao Tung University. His research interests include nonlinear control systems, spacecraft control, singular perturbation methods, bifurcation control, applications to jet engine control, flight control, electric power systems and power electronics, RFID, and implementation issues. During 1990–1992, he served as a Designated Assistant to the Associate Editor for the IEEE Transactions on Automatic Control. Dr. Liaw was also a member of Editorial Board of 1993 American Control Conference.
Shih-Tse Chang received his M.S. degree in Electronic Engineering from IShou University, Kaohsiung, Taiwan in 2005. He is currently working toward a Ph.D. degree in the Department of Electrical and Control Engineering, National Chiao Tung University, Hsinchu, Taiwan. His research interests include nonlinear control systems, bifurcation control, and system identification.
Sheng-Dong Xu received his Ph.D. degree from the Department of Electrical and Control Engineering at National Chiao Tung University, Taiwan, in 2009. He is currently a Faculty Member with the Department of Computer Science at National Chengchi University, Taiwan. His research interests include VLSI design, embedded systems, control engineering, and biomedical electronics.
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Chen, CH., Liang, YW., Liaw, DC. et al. Design of midcourse guidance laws via a combination of fuzzy and SMC approaches. Int. J. Control Autom. Syst. 8, 272–278 (2010). https://doi.org/10.1007/s12555-010-0213-9
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DOI: https://doi.org/10.1007/s12555-010-0213-9