Trajectory Planning of First Stage Rocket Powered Vertical Recovery Using a Hybrid Optimization Method
Standard trajectory design is the basis of rocket recovery guidance law. For this problem, a new hybrid optimization method combining the exterior penalty method, the genetic algorithm (GA) and the sequential quadratic programming (SQP) was proposed. Firstly, the recovery trajectory is divided into...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Office of Control and Information Technology
2019-01-01
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| Series: | Kongzhi Yu Xinxi Jishu |
| Subjects: | |
| Online Access: | http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2019.04.013 |
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| Summary: | Standard trajectory design is the basis of rocket recovery guidance law. For this problem, a new hybrid optimization method combining the exterior penalty method, the genetic algorithm (GA) and the sequential quadratic programming (SQP) was proposed. Firstly, the recovery trajectory is divided into five phases: attitude adjustment phase, high-altitude gliding phase, power deceleration phase, atmospheric deceleration phase and powered landing phase. The multi-constraint problem is then transformed into an unconstrained problem by exterior penalty method, and the initial solution can be obtained by GA. Finally, to get a high accuracy optimal solution, a SQP method is employed. Numerical simulation results show that the proposed method can optimize a high accuracy recovery trajectory that satisfies various constraints, and it is simple and effective, which has a great value in the practical applications. |
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| ISSN: | 2096-5427 |