A Fast Midcourse Trajectory Optimization Method for Interceptors Based on the Bézier Curve

This paper proposes a fast midcourse trajectory optimization method by using the Bézier curve as a transcription scheme to represent the interceptor trajectories. First, the trajectory optimization problem is established with the constraints during midcourse guidance and the performance index of the terminal velocity. Then, the interceptor position coordinates are represented using Bézier functions, which directly satisfy the boundary constraints. Other state and control variables are also expressed as Bézier functions. Finally, the original trajectory optimization problem is transformed into optimizing the Bézier parameters, which can be obtained by sequential quadratic programming. Numerical examples verify the rapidity of the proposed method when compared with various traditional numerical optimization methods. In addition, the result of the proposed method can be used as a fast solution satisfying all the boundary and path constraints, and it can also be used as an initial guess for further optimizations.

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Publication Details

Journal
Aerospace
Published
2025-10-02
DOI
https://doi.org/10.3390/aerospace12100893
Primary Topic
Guidance and Control Systems
Type
article
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article

A Fast Midcourse Trajectory Optimization Method for Interceptors Based on the Bézier Curve

Gang Zhang, Jingqi Li, Cui Liang
Aerospace
Guidance and Control Systems
article

A Fast Midcourse Trajectory Optimization Method for Interceptors Based on the Bézier Curve

Gang Zhang, Jingqi Li, Cui Liang
article en

Abstract

This paper proposes a fast midcourse trajectory optimization method by using the Bézier curve as a transcription scheme to represent the interceptor trajectories. First, the trajectory optimization problem is established with the constraints during midcourse guidance and the performance index of the terminal velocity. Then, the interceptor position coordinates are represented using Bézier functions, which directly satisfy the boundary constraints. Other state and control variables are also expressed as Bézier functions. Finally, the original trajectory optimization problem is transformed into optimizing the Bézier parameters, which can be obtained by sequential quadratic programming. Numerical examples verify the rapidity of the proposed method when compared with various traditional numerical optimization methods. In addition, the result of the proposed method can be used as a fast solution satisfying all the boundary and path constraints, and it can also be used as an initial guess for further optimizations.

AerospaceVol. 12(10)
China Academy of Space Technology (CN), Harbin Institute of Technology (CN)
Openalex Percentile: Top 64%
Guidance and Control Systems
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