Hostname: page-component-669899f699-8p65j Total loading time: 0 Render date: 2025-04-29T04:15:24.953Z Has data issue: false hasContentIssue false

Distributed cooperative guidance law without numerical singularity with field-of-view angle constraint

Published online by Cambridge University Press:  11 December 2024

Z. Liu*
Affiliation:
High-Tech Institute of Xi’an, Xi’an, China
S. Li
Affiliation:
High-Tech Institute of Xi’an, Xi’an, China Department of Automation, Tsinghua University, Beijing, China
L. Ren
Affiliation:
High-Tech Institute of Xi’an, Xi’an, China
D. Ma
Affiliation:
High-Tech Institute of Xi’an, Xi’an, China
*
Corresponding author: Z. Liu; Email: [email protected]

Abstract

A distributed cooperative guidance law without numerical singularities is proposed for the simultaneous attack a stationary target by multiple vehicles with field-of-view constraints. Firstly, the vehicle engagement motion model is transformed into a multi-agent model. Then, based on the state-constrained consensus protocol, a coordination control law with field-of-view (FOV) constraints is proposed. Finally, the cooperative guidance law has been improved to make it more suitable for practical application. Numerical simulations verified the effectiveness and robustness of the proposed guidance law in the presence of acceleration saturation, communication delays and measurement noise.

Type
Research Article
Copyright
© The Author(s), 2024. Published by Cambridge University Press on behalf of Royal Aeronautical Society

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Article purchase

Temporarily unavailable

References

Liu, S., Wang, Y., Li, Y., Yan, B. and Zhang, T. Cooperative guidance for active defence based on line-of-sight constraint under a low-speed ratio, Aeronaut. J., 2023, 127, (1309), pp 491509.CrossRefGoogle Scholar
Chen, Y., Wang, J., Wang, C., Shan, J. and Xin, M. A modified cooperative proportional navigation guidance law, J. Frank. Inst., 2019, 356, (11), pp 56925705.CrossRefGoogle Scholar
Jeon, I.-S, Lee, J.-I. and Tahk, M.-J. Impact-time-control guidance law for anti-ship missiles, IEEE Trans. Control Syst. Technol., 2006, 14, (2), pp 260266.CrossRefGoogle Scholar
Liu, S., Yan, B., Liu, R., Dai, P., Yan, J. and Xin, G. Cooperative guidance law for intercepting a hypersonic target with impact angle constraint, Aeronaut. J., 2022, 126, (1300), pp 10261044.CrossRefGoogle Scholar
Shiyu, Z., Rui, Z., Chen, W. and Quanxin, D. Design of time-constrained guidance laws via virtual leader approach, Chin. J. Aeronaut., 2010, 23, (1), pp 103108.CrossRefGoogle Scholar
Saleem, A. and Ratnoo, A. Lyapunov-based guidance law for impact time control and simultaneous arrival, J. Guid. Control Dyn., 2016, 39, (1), pp 19.CrossRefGoogle Scholar
Lee, J.-I., Jeon, I.-S. and Tahk, M.-J. Guidance law to control impact time and angle, IEEE Trans. Aerospace Electron. Syst., 2007, 43, (1), pp 301310.Google Scholar
Kim, Y.-C., Lee, C.-H., Kim, T.-H. and Tahk, M.-J. A new cooperative homing guidance of anti-ship missiles for survivability enhancement, Int. J. Aeronaut. Space Sci., 2021, 22, pp 676–686.Google Scholar
Kang, S., Wang, J., Li, G., Shan, J. and Petersen, R.I. Optimal cooperative guidance law for salvo attack: An mpc-based consensus perspective, IEEE Trans. Aerospace Electron. Syst., 2018, 54, (5), pp 23972410.CrossRefGoogle Scholar
Pei, H. Group consensus of multi-agent systems with hybrid characteristics and directed topological networks, ISA Trans., 2023, 404, pp 267–275.CrossRefGoogle Scholar
He, L. and Dong, W. Distributed adaptive consensus tracking control for heterogeneous nonlinear multi-agent systems, ISA Trans., 2022, 130, pp 177183.CrossRefGoogle ScholarPubMed
Lu, M., Wu, J., Zhan, X., Han, T. and Yan, H. Consensus of second-order heterogeneous multi-agent systems with and without input saturation, ISA Trans., 2022, 126, pp 1420.CrossRefGoogle ScholarPubMed
Meng, W., Yang, Q., Si, J. and Sun, Y. Consensus control of nonlinear multiagent systems with time-varying state constraints, IEEE Trans. Cybern., 2017, 47, (8), pp 21102120.CrossRefGoogle Scholar
Fu, J., Wen, G., Yu, W., Huang, T. and Yu, X. Consensus of second-order multiagent systems with both velocity and input constraints, IEEE Trans. Ind. Electron., 2019, 66, (10), pp 79467955.CrossRefGoogle Scholar
Wang, Z., Fu, W., Fang, Y., Zhu, S., Wu, Z. and Wang, M. Prescribed-time cooperative guidance law against maneuvering target based on leader-following strategy, ISA Trans., 2022, 129, pp 257270.CrossRefGoogle ScholarPubMed
Zhou, J. and Yang, J. Distributed guidance law design for cooperative simultaneous attacks with multiple missiles, J. Guid. Control Dyn., 2016, 39, pp 2439–2447.CrossRefGoogle Scholar
Sinha, A., Ranjan Kumar, S. and Mukherjee, D. Three-dimensional nonlinear cooperative salvo using event-triggered strategy, J. Guid. Control Dyn., 2021, 44, (2), pp 328–342.CrossRefGoogle Scholar
Li, K., Wang, J., Lee, C.-H., Zhou, R. and Zhao, S. Distributed cooperative guidance for multivehicle simultaneous arrival without numerical singularities, J. Guid. Control Dyn., 2020, 43, (7), pp 1365–1373.CrossRefGoogle Scholar
Chen, Y., Wang, J., Wang, C., Shan, J. and Xin, M. Three-dimensional cooperative homing guidance law with field-of-view constraint, J. Guid. Control Dyn., 2020, 43, (2), pp 389397.CrossRefGoogle Scholar
Wang, X. and Lu, X. Three-dimensional impact angle constrained distributed guidance law design for cooperative attacks, ISA Trans., 2018, 73, pp 7990.CrossRefGoogle ScholarPubMed
Ma, W., Fu, W., Fang, Y., Liu, S. and Liang, X. Prescribed-time cooperative guidance with time delay, Aeronaut. J., 2023, 127, (1311), pp 852875.CrossRefGoogle Scholar
Yang, G., Fang, Y., Ma, W., Zhu, S. and Fu, W. Cooperative trajectory shaping guidance law for multiple anti-ship missiles, Aeronaut. J., 2024, 128, (1319), pp 7391.CrossRefGoogle Scholar
Wu, G., Zhang, K. and Han, Z. Three-dimensional finite-time guidance law based on sliding mode adaptive rbf neural network against a highly manoeuvering target, Aeronaut. J., 2022, 126, (1301), pp 11241143.CrossRefGoogle Scholar
He, S. and Lee, C.-H. Optimal proportional-integral guidance with reduced sensitivity to target maneuvers, IEEE Trans. Aerospace Electron. Syst., 2018, 54, (5), pp 2568–2579.CrossRefGoogle Scholar
Jesus, A.T., Pimenta, C.A.L., Tôrres, A.B.L. and Mendes, M.A.M.E. Consensus for double-integrator dynamics with velocity constraints, Int. J. Control Autom. Syst., 2014, 12, pp 930938.CrossRefGoogle Scholar
Song, S.-H. and Ha, I.-J. A lyapunov-like approach to performance analysis of 3-dimensional pure png laws, IEEE Trans. Aerospace Electron. Syst., 1994, 30, (1), pp 238–248.Google Scholar