Journal of Systems Engineering and Electronics ›› 2018, Vol. 29 ›› Issue (6): 1263-1270.doi: 10.21629/JSEE.2018.06.13

• Control Theory and Application • Previous Articles     Next Articles

Aero-thermal heating constrained midcourse guidance using state-constrained model predictive static programming method

Bin FU1,*(), Hang GUO1(), Kang CHEN1(), Wenxing FU1(), Xingyu WU2(), Jie YAN1()   

  1. 1 School of Astronautics, Northwestern Polytechnical University, Xi'an 710072, China
    2 Xi'an Microelectronic Technology Institute, Xi'an 710065, China
  • Received:2018-08-18 Online:2018-12-25 Published:2018-12-26
  • Contact: Bin FU E-mail:binfu@mail.nwpu.edu.cn;jsguoh@mail.nwpu.edu.cn;mars_legend@163.com;wenxingfu@nwpu.edu.cn;wxy910112@163.com;yanjie@nwpu.edu.cn
  • About author:FU Bin was born in 1989. He received his B.S. degree in 2011 from Northwestern Polytechnical University, and M.S. degree from School of Astronautics, Northwestern Polytechnical University in 2014. He is a Ph.D. candidate at the School of Astronautics, Northwestern Polytechnical University. He has presented papers in national and international journals and conferences. His research interests are guidance, navigation and control. E-mail: binfu@mail.nwpu.edu.cn|GUO Hang was born in 1990. He received his B.S. degree in 2011 from Northwestern Polytechnical University, and M.S. degree from School of Astronautics, Northwestern Polytechnical University in 2014. He is a Ph.D. candidate at the School of Astronautics, Northwestern Polytechnical University. He has presented papers in national and international journals and conferences. His research interests are guidance, navigation and control. E-mail: jsguoh@mail.nwpu.edu.cn|CHEN Kang was born in 1980. He received his Ph.D. degree from School of Astronautics, Northwestern Polytechnical University in 2010. As an associate professor, he is working in School of Astronautics, Northwestern Polytechnical University. His research interests are flight control, guidance and aircraft design. E-mail: mars_legend@163.com|FU Wenxing was born in 1974. He received his Ph.D. degree from School of Astronautics, Northwestern Polytechnical University in 2006. As a professor, he is working in the School of Astronautics, Northwestern Polytechnical University. His research interests are system simulation and aircraft design. E-mail: wenxingfu@nwpu.edu.cn|WU Xingyu was born in 1991. She received her M.S. degree from School of Astronautics, Northwestern Polytechnical University in 2017. As an engineer, she is working in Xi'an Microelectronics Technology Institute. Her research interests are system simulation and aircraft design. E-mail: wxy910112@163.com|YAN Jie was born in 1960. He received his Ph.D. degree from School of Astronautics, Northwestern Polytechnical University in 1988. He is currently working as a professor and Ph.D. candidate supervisor in School of Astronautics, Northwestern Polytechnical University. His research interests are flight control, guidance, system simulation and aircraft design. E-mail: yanjie@nwpu.edu.cn
  • Supported by:
    the National Natural Science Foundation of China(61503302);the joint fund of the National Natural Science Foundation Committee and China Academy of Engineering Physics(U1630127);This work was supported by the National Natural Science Foundation of China (61503302) and the joint fund of the National Natural Science Foundation Committee and China Academy of Engineering Physics (U1630127)

Abstract:

This paper proposes a multiple-constraints-guaranteed midcourse guidance law for the interception of the hypersonic targets. In traditional midcourse law design, the constraints of the aero-thermal heating are rarely taken into consideration. The performance of the infrared detection system may be degraded and the instability of the flight control system may be induced. To address this problem, a state-constrained model predictive static programming method is introduced such that both terminal constraints (position and angle) and optimal energy consumption can be ensured. As a result, a sub-optimal midcourse guidance, guaranteeing the aforementioned multiple-constraints to be never violated, is synthesized. Simulation results demonstrate the effectiveness of the proposed method.

Key words: midcourse guidance, model predictive control, optimal control, state constraint