AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
Article Link
Collect
Submit Manuscript
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Research Article

Luring cooperative capture guidance strategy for the pursuit–evasion game under incomplete target information

School of Astronautics, Harbin Institute of Technology, Harbin 150001, China
Show Author Information

Graphical Abstract

Abstract

In this work, we attempt to investigate a luring cooperative guidance strategy for three-player inducer–defender–attacker engagement with field-of-view (FOV) and overload constraints against an attacker with speed advantages under incomplete information. We formulate the three-player inducer–defender–attacker engagement problem as the pursuit–evasion (defender–attacker) game problem. On this basis, an analytical luring cooperative guidance strategy based on backstepping control is proposed to facilitate the defender with zero overloads intercepting the attacker. Additionally, under incomplete information, we offer a parameter delay design approach to delay the unknown parameters and state design. Afterward, an improved adaptive update law is devised to address the incomplete information. The proposed luring cooperative guidance, which incorporates backstepping control and an improved adaptive update law, can guarantee that the defender captures the attacker with zero overloads under luring by the inducer. Additionally, the proposed design adopts the directed communication topology network structure. Finally, we also execute simulations that demonstrate the effectiveness of the designed luring cooperative guidance strategy and reveal that it can be extended to double-hierarchical interception and four-on-two engagement interception.

References

[1]

Yan, T., Cai, Y., Xu, B. Evasion guidance algorithms for air-breathing hypersonic vehicles in three-player pursuit-evasion games. Chinese Journal of Aeronautics, 2020, 33(12): 3423–3436.

[2]

Nath, S., Ghose, D. A two-phase evasive strategy for a pursuit-evasion problem involving two non-holonomic agents with incomplete information. European Journal of Control, 2022, 68: 100677.

[3]

Zhang, P., Fang, Y., Zhang, F., Xiao, B., Hu, S., Zong, S. An adaptive weighted differential game guidance law. Chinese Journal of Aeronautics, 2012, 25(5): 739–746.

[4]

Ahn, J., Wang, P., Guo, Y., Wie, B. Optimal terminal-time determination for the ZEM/ZEV feedback guidance law with generalized performance index. Astrodynamics, 2019, 3: 127–136.

[5]

Li, K. B., Su, W. S., Chen, L. Performance analysis of three-dimensional differential geometric guidance law against low-speed maneuvering targets. Astrodynamics, 2018, 2(3): 233–247.

[6]

Asadi, M. M., Gianoli, L. G., Saussié, D. Optimal vehicle-target assignment: A swarm of pursuers to intercept maneuvering evaders based on ideal proportional navigation. IEEE Transactions on Aerospace and Electronic Systems, 2022, 58(2): 1316–1332.

[7]

Li, K. Y., Zhou, G. J. State estimation with a destination constraint imposed by proportional navigation guidance law. IEEE Transactions on Aerospace and Electronic Systems, 2022, 58(1): 58–73.

[8]

Shin, H. S., Li, K. B. An improvement in three-dimensional pure proportional navigation guidance. IEEE Transactions on Aerospace and Electronic Systems, 2021, 57(5): 3004–3014.

[9]

Ghosh, S., Ghose, D., Raha, S. Capturability of augmented pure proportional navigation guidance against time-varying target maneuvers. Journal of Guidance, Control, and Dynamics, 2014, 37(5): 1446–1461.

[10]

Chen, W., Hu, Y., Gao, C., Jing, W. Three-dimensional trajectory tracking guidance against near-space maneuvering targets with multiple constraints under wind field. Control Engineering Practice, 2024, 142: 105745.

[11]

Guo, J., Li, Y., Zhou, J. A new continuous adaptive finite time guidance law against highly maneuvering targets. Aerospace Science and Technology, 2019, 85: 40–47.

[12]

Chen, W., Hu, Y., Gao, C., An, R. Trajectory tracking guidance of interceptor via prescribed performance integral sliding mode with neural network disturbance observer. Defence Technology, 2024, 32: 412–429.

[13]

Zong, Q., Wang, J., Tao, Y. Adaptive high-order dynamic sliding mode control for a flexible air-breathing hypersonic vehicle. International Journal of Robust and Nonlinear Control, 2013, 23(15): 1718–1736.

[14]

Han, H., Dang, Z. Optimal delta-V-based strategies in orbital pursuit-evasion games. Advances in Space Research, 2023, 72(2): 243–256.

[15]

Peng, C., Bai, Y., Gong, X., Gao, Q., Zhao, C., Tian, Y. (2015). Modeling and robust backstepping sliding mode control with adaptive RBFNN for a novel coaxial eight-rotor UAV. IEEE/CAA Journal of Automatica Sinica, 2015, 2(1): 56–64.

[16]

Luo, W. L., Chen, L., Liu, K. X., Gu, H. B., Lü, J. H. Optimizing constrained guidance policy with minimum overload regularization. IEEE Transactions on Circuits and Systems Ⅰ: Regular Papers, 2022, 69(7): 2994–3005.

[17]

Chen, W., Gao, C., Jing, W. Proximal policy optimization guidance algorithm for intercepting near-space maneuvering targets. Aerospace Science and Technology, 2023, 132: 108031.

[18]

Gaudet, B., Furfaro, R. Adaptive pinpoint and fuel efficient mars landing using reinforcement learning. IEEE/CAA Journal of Automatica Sinica, 2014, 1(4): 397–411.

[19]

Prokopov, O., Shima, T. Linear quadratic optimal cooperative strategies for active aircraft protection. Journal of Guidance, Control, and Dynamics, 2013, 36(3): 753–764.

[20]

Yamasaki, T., Balakrishnan, S. N., Takano, H. Modified command to line-of-sight intercept guidance for aircraft defense. Journal of Guidance, Control, and Dynamics, 2013, 36(3): 898–902.

[21]

Yan, X., Lyu, S. A two-side cooperative interception guidance law for active air defense with a relative time-to-go deviation. Aerospace Science and Technology, 2020, 100: 105787.

[22]

Perelman, A., Shima, T., Rusnak, I. Cooperative differential games strategies for active aircraft protection from a homing missile. Journal of Guidance, Control, and Dynamics, 2011, 34(3): 761–773.

[23]

Shima, T. Optimal cooperative pursuit and evasion strategies against a homing missile. Journal of Guidance, Control, and Dynamics, 2011, 34(2): 414–425.

[24]

Shaferman, V., Shima, T. Cooperative multiple-model adaptive guidance for an aircraft defending missile. Journal of Guidance, Control, and Dynamics, 2010, 33(6): 1801–1813.

[25]

Sun, Q., Qi, N., Xu, Z., Liu, Y., Zhang, Y. An optimal one-way cooperative strategy for two defenders against an attacking missile. Chinese Journal of Aeronautics, 2017, 30(4): 1506–1518.

[26]

Sun, Q., Zhang, C., Liu, N., Zhou, W., Qi, N. Guidance laws for attacking defended target. Chinese Journal of Aeronautics, 2019, 32(10): 2337–2353.

[27]

Liang, H., Wang, J., Liu, J., Liu, P. Guidance strategies for interceptor against active defense spacecraft in two-on-two engagement. Aerospace Science and Technology, 2020, 96: 105529.

[28]

Nobahari, H., Nasrollahi, S. A nonlinear robust model predictive differential game guidance algorithm based on the particle swarm optimization. Journal of the Franklin Institute, 2020, 357(15): 11042–11071.

[29]

Zheng, X. L., Yang, X. B. Command filter and universal approximator based backstepping control design for strict-feedback nonlinear systems with uncertainty. IEEE Transactions on Automatic Control, 2020, 65(3): 1310–1317.

Astrodynamics
Pages 675-688
Cite this article:
Chen W, Hu Y, Gao C, et al. Luring cooperative capture guidance strategy for the pursuit–evasion game under incomplete target information. Astrodynamics, 2024, 8(4): 675-688. https://doi.org/10.1007/s42064-024-0224-6

788

Views

0

Crossref

0

Web of Science

0

Scopus

0

CSCD

Altmetrics

Received: 24 January 2024
Accepted: 27 May 2024
Published: 14 August 2024
© Tsinghua University Press 2024
Return