Journal of Systems Engineering and Electronics ›› 2022, Vol. 33 ›› Issue (1): 188-196.doi: 10.23919/JSEE.2022.000019

• CONTROL THEORY AND APPLICATION • Previous Articles     Next Articles

Robust adaptive control of hypersonic vehicle considering inlet unstart

Fan WANG1(), Pengfei FAN1,*(), Yonghua FAN1(), Bin XU2(), Jie YAN1()   

  1. 1 College of Astronautics, Northwestern Polytechnical University, Xi’an 710072, China
    2 College of Automation, Northwestern Polytechnical University, Xi’an 710072, China
  • Received:2019-08-12 Accepted:2021-12-21 Online:2022-01-18 Published:2022-02-22
  • Contact: Pengfei FAN E-mail:wangf@mail.nwpu.edu.cn;fanpf@mail.nwpu.edu.cn;fyhlixin@163.com;binxu@nwpu.edu.cn;jyan@nwpu.edu.cn
  • About author:|WANG Fan was born in 1991. She received her B.S. and M.S. degrees in guidance, navigation, and control from the School of Astronautics, Northwestern Polytechnical University, Xi’an, Shaanxi Province, China, in 2014 and 2017. She is a Ph.D. candidate with the School of Astronautics, Northwestern Polytechnical University. Her research interests include hypersonic vehicle control, nonlinear control, and adaptive control. E-mail: wangf@mail.nwpu.edu.cn||FAN Pengfei was born in 1987. He received his B.S., M.S., and Ph.D. degrees in guidance, navigation and control from the School of Astronautics, Northwestern Polytechnical University, Xi’an, Shaanxi Province, China, in 2010, 2013 and 2020, respectively. Since 2020, he has been an assistant researcher at School of Astronautics, Northwestern Polytechnical University. His research interests are trajectory optimization and three-dimensional guidance technology for entry vehicle. E-mail: fanpf@mail.nwpu.edu.cn||FAN Yonghua was born in 1976. He received his B.S. degree in mechanics and control from the Second Artillery Engineering University, Xi’an, Shaanxi Province, China, in 1998 and his Ph.D. degree in control theory and engineering from Northwestern Polytechnical University, Xi’an, Shaanxi Province, China, in 2008. Now he is a professor at School of Astronautics, Northwestern Polytechnical University. His research interests are guidance and control for UAV. E-mail: fyhlixin@163.com||XU Bin was born in 1982. He received his B.S. degree in measurement and control from Northwestern Polytechnical University, Xi’an, Shaanxi Province, China, in 2006 and the Ph.D. degree in computer science from Tsinghua University, Beijing, China, in 2012. He visited Swiss Federal Institute of Technology in Zurich from March 2010 to March 2011. He was a research fellow with Nanyang Technological University from February 2012 to January 2013. He has been with the School of Automation, Northwestern Polytechnical University as a lecturer from July 2012 to April 2014. Now he is a professor at the School of Automation, Northwestern Polytechnical University. His research interests are intelligent control and adaptive control with application on flight dynamics. E-mail: binxu@nwpu.edu.cn||YAN Jie was born in 1960. He received his Ph.D. degree from School of Astronautics, Northwestern Polytechnical University Xi’an, Shaanxi Province, China, in 1988. He is currently working as a professor and Ph.D. candidate supervisor at the School of Astronautics, Northwestern Polytechnical University. His research interests are ?ight control, guidance, system simulation and aircraft design. E-mail: jyan@nwpu.edu.cn
  • Supported by:
    This work was supported by the Foundation of Shanghai Aerospace Science and Technology (SAST2016077).

Abstract:

In this paper, a model reference adaptive control (MRAC) augmentation method of a linear controller is proposed for air-breathing hypersonic vehicle (AHV) during inlet unstart. With the development of hypersonic flight technology, hypersonic vehicles have been gradually moving to the stage of weaponization. During the maneuvers, changes of attitude, Mach number and the back pressure can cause the inlet unstart phenomenon of scramjet. Inlet unstart causes significant changes in the aerodynamics of AHV, which may lead to deterioration of the tracking performance or instability of the control system. Therefore, we firstly establish the model of hypersonic vehicle considering inlet unstart, in which the changes of aerodynamics caused by inlet unstart is described as nonlinear uncertainty. Then, an MRAC augmentation method of a linear controller is proposed and the radial basis function (RBF) neural network is used to schedule the adaptive parameters of MRAC. Furthermore, the Lyapunov function is constructed to prove the stability of the proposed method. Finally, numerical simulations show that compared with the linear control method, the proposed method can stabilize the attitude of the hypersonic vehicle more quickly after the inlet unstart, which provides favorable conditions for inlet restart, thus verifying the effectiveness of the augmentation method proposed in the paper.

Key words: air-breathing hypersonic vehicle (AHV), inlet unstart, model reference adaptive control augmentation (MRAC), radial basis function (RBF) neural network