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Integrated Guidance and Control for the Fixed-trim Vehicle against the Maneuvering Target

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  • Control Theory and Applications
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Abstract

From the view of the fixed-trim reentry vehicle (FTRV) application, the integrated guidance and control (IGC) design is a key challenge. In order to improve the performance of the FTRV against the maneuvering target, an IGC system combining with the virtual target and the filter is proposed in this paper. To investigate the dynamics of the FTRV against the maneuvering target, a 7-DOF mathematical model is established and the error angle is employed to describe the relative motion between the FTRV and the target. Considering the controllability of the FTRV, a nonlinear differentiable error angle command is presented and its influence on the terminal velocity is discussed. To deal with the contradiction between the limited maneuverability and the demand of high guidance accuracy, the actual target is taken place with the virtual target, of which acceleration is estimated by the ESO. For improving the performance of the virtual target position prediction, a rolling updating strategy is proposed and derived analytically. Then, the back-step** based IGC system is designed with the virtual target and the filter. The finite-time convergence of the IGC system is proved via the Lyapunov stability theorem. The numerical simulation results show the effectiveness of the proposed IGC system for the FTRV against the maneuvering target with time-varying acceleration.

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Authors and Affiliations

  1. Control and Simulation Center, Harbin Institute of Technology, Harbin, China

    Guanlin Li, Tao Chao, Songyan Wang & Ming Yang

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  1. Guanlin Li
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  2. Tao Chao
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  3. Songyan Wang
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  4. Ming Yang
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Corresponding author

Correspondence to Ming Yang.

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Publisher’s Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Recommended by Associate Editor Chang Kyung Ryoo under the direction of Editor Chan Gook Park. This work is supported by the National Natural Science Foundation of China (Grant No. 61627810, No. 61790562 and No. 61403096).

Guanlin Li received his B.E. degree in automation and his M.S. degree in control science and engineering from Harbin Institute of Techonlogy (HIT), China, in 2014 and 2016, respectively. He is currently pursuing a Ph.D. degree in control science and engineering. His research interests include hypersonic vehicle guidance and control systems.

Tao Chao received his B.E. degree in automation and his M.S. and Ph.D. degrees in control science and engineering from Harbin Institute of Technology, China, in 2005, 2007 and 2011, respectively, where he is currently an Associate Professor with the School of Control Science and Engineering. His research interests include modeling, simulation and optimization of complex systems, simulation evaluation of aircraft guidance and control, trajectory optimization and performance simulation of spacecraft.

Songyan Wang received her B.E. degree in automation and her M.S. and Ph.D. degrees in control science and engineering from Harbin Institute of Technology, China, in 1999, 2001, and 2007, respectively, where she is currently an Associate Professor with the School of Control Science and Engineering. Her research interests include guidance, control and simulation technology of aircraft, advanced control theory and application technology, and performance evaluation technology of aircraft guidance and control.

Ming Yang received his B.E. degree in autornati on and his M.S. and Ph.D. degrees in control science and engineering from Harbin Institute of Technology, China, in 1985, 1988, and 1997, respectively, where he is currently a Professor with the School of Control Science and Engineering. His research interests include system simulation theory and method, and test analysis and evaluation of simulation system advanced distributed simulation technology and its application.

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Li, G., Chao, T., Wang, S. et al. Integrated Guidance and Control for the Fixed-trim Vehicle against the Maneuvering Target. Int. J. Control Autom. Syst. 18, 1518–1529 (2020). https://doi.org/10.1007/s12555-018-0824-0

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  • DOI: https://doi.org/10.1007/s12555-018-0824-0

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