Polynomial Time-to-Go Design for Impact Time Control and Cooperative Guidance

A superior baseline homing guidance law plays a crucial role in further deriving advanced laws with different impact constraints. To this end, a class of polynomial-form trajectory shaping modulation functions with admissible ranges of coefficients is proposed. Then, a specific parametric design process is developed to improve the performance of conventional pure proportional navigation (PPN) under nonlinear intercept geometries. The baseline guidance law along with its extended three-dimensional form features a closed-form solution for time-to-go, parameterized control efficiency, and optimal approximation to PPN under small heading error. Next, an impact time control guidance law with analytical capture conditions is developed by introducing a fixed-time convergence bias term. Furthermore, a three-dimensional nonsaturated cooperative guidance law with field-of-view constraints is developed on basis of the time-to-go consensus mechanism. Both physical interpretations and selection criteria for guidance parameters are thoroughly considered. The proposed methods eliminate the need for small-angle approximation, model linearization, or numerical iterations. Numerical simulations validate the effectiveness, robustness, and superiority of the advanced guidance laws.

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Publication Details

Journal
Journal of Guidance Control and Dynamics
Published
2026-11-02
DOI
https://doi.org/10.2514/1.g009422
Primary Topic
Guidance and Control Systems
Type
article
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0.00
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article

Polynomial Time-to-Go Design for Impact Time Control and Cooperative Guidance

Yuanjie Meng, Zhiguo Han, Minghao Xiao, Ke Zhang
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Journal of Guidance Control and Dynamics
Guidance and Control Systems
article

Polynomial Time-to-Go Design for Impact Time Control and Cooperative Guidance

Yuanjie Meng, Zhiguo Han, Minghao Xiao, Ke Zhang
article en

Abstract

A superior baseline homing guidance law plays a crucial role in further deriving advanced laws with different impact constraints. To this end, a class of polynomial-form trajectory shaping modulation functions with admissible ranges of coefficients is proposed. Then, a specific parametric design process is developed to improve the performance of conventional pure proportional navigation (PPN) under nonlinear intercept geometries. The baseline guidance law along with its extended three-dimensional form features a closed-form solution for time-to-go, parameterized control efficiency, and optimal approximation to PPN under small heading error. Next, an impact time control guidance law with analytical capture conditions is developed by introducing a fixed-time convergence bias term. Furthermore, a three-dimensional nonsaturated cooperative guidance law with field-of-view constraints is developed on basis of the time-to-go consensus mechanism. Both physical interpretations and selection criteria for guidance parameters are thoroughly considered. The proposed methods eliminate the need for small-angle approximation, model linearization, or numerical iterations. Numerical simulations validate the effectiveness, robustness, and superiority of the advanced guidance laws.

Journal of Guidance Control and Dynamics
Northwestern Polytechnical University (CN)
Openalex Percentile: Top 20%
Guidance and Control Systems
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