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| Cooperative Trajectory Planning for Multi-Near Space Vehicle in Glide Phase |
| SONG Rui1， ZHANG Gang2， LIU Siyu1， WANG Shichao1，
QIN Jiaxing1， YANG Yi1 |
| 1. Shanghai Electro-Mechanical Engineering Institute，Shanghai 201109，China；
2. Unit 92728 of the PLA，Shanghai 200436，China |
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Abstract To resolve the problem of cooperative trajectory planning of multi-near space vehicles in the glide phase, a sequential convex programming (SCP) under a decoupled framework was designed to enhance efficiency. Firstly, discretisation and linearisation methods formulated the convex optimisation model for cooperative trajectory planning. The original complicated problem was decoupled by decomposing design variables and decoupling coupled constraints to reduce the model's dimensions. Then, a trust-region shrinking strategy was introduced, accelerating the convergence of SCP. Numerical simulation results show that the proposed decoupled SCP can acquire the cooperative glide trajectories satisfying the constraints, and the computational efficiency is higher than the coupled SCP.
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Received: 07 September 2024
Published: 23 May 2025
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2025, Vol. 8 
