Reentry Capsule Reachable Tube Boundary Prediction via Evolutionary Multiobjective Optimization
In the field of aerospace, solving the boundary problem associated with the parachute-capsule system remains a big challenge. The conventional Monte Carlo method proves inadequate for acquiring comprehensive boundary information. To address this issue, this paper introduces a novel tube prediction s...
Saved in:
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2024-01-01
|
| Series: | International Journal of Aerospace Engineering |
| Online Access: | http://dx.doi.org/10.1155/2024/2311998 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832559533750222848 |
|---|---|
| author | Wen Zou Zhanxin Cui Genghui Li Zhiwei Feng Zhenkun Wang Qingyu Gao Qingbin Zhang Tao Yang |
| author_facet | Wen Zou Zhanxin Cui Genghui Li Zhiwei Feng Zhenkun Wang Qingyu Gao Qingbin Zhang Tao Yang |
| author_sort | Wen Zou |
| collection | DOAJ |
| description | In the field of aerospace, solving the boundary problem associated with the parachute-capsule system remains a big challenge. The conventional Monte Carlo method proves inadequate for acquiring comprehensive boundary information. To address this issue, this paper introduces a novel tube prediction scheme by leveraging the natural geometric characteristics of the reachable tube and employing a multiobjective optimization strategy. Initially, a multibody dynamic model with nine degrees of freedom was established and verified by the airdrop test data to ensure the accuracy and reliability of the model. Subsequently, the Sobol sensitivity analysis method was employed to assess uncertain factors that affect the deceleration phase of the reentry capsule. These factors are then utilized to determine the optimization parameters for the multiobjective optimization model. Ultimately, the multiobjective evolutionary algorithm based on decomposition was employed to solve the multiobjective optimization model, and the geometric boundary of the tube corresponds to the Pareto front of the multiobjective optimization. The proposed methodology was validated through a simulation experiment utilizing the Chang’e-5 reentry capsule as an engineering case. The experimental results unequivocally demonstrate the superior accuracy of our approach in predicting the boundary of the reachable tube compared to the Monte Carlo method. This research serves as a valuable reference for calculating reachable tubes in practical engineering scenarios and can be effectively applied to spacecraft search and rescue operations during the reentry phase. |
| format | Article |
| id | doaj-art-09e6f85fa06a4e1ca67644ae150598fb |
| institution | Kabale University |
| issn | 1687-5974 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Aerospace Engineering |
| spelling | doaj-art-09e6f85fa06a4e1ca67644ae150598fb2025-02-03T01:29:50ZengWileyInternational Journal of Aerospace Engineering1687-59742024-01-01202410.1155/2024/2311998Reentry Capsule Reachable Tube Boundary Prediction via Evolutionary Multiobjective OptimizationWen Zou0Zhanxin Cui1Genghui Li2Zhiwei Feng3Zhenkun Wang4Qingyu Gao5Qingbin Zhang6Tao Yang7College of Aerospace Science and EngineeringCollege of Aerospace Science and EngineeringCollege of Computer Science and Software EngineeringCollege of Aerospace Science and EngineeringSchool of System Design and Intelligent ManufacturingCollege of Aerospace Science and EngineeringCollege of Aerospace Science and EngineeringCollege of Aerospace Science and EngineeringIn the field of aerospace, solving the boundary problem associated with the parachute-capsule system remains a big challenge. The conventional Monte Carlo method proves inadequate for acquiring comprehensive boundary information. To address this issue, this paper introduces a novel tube prediction scheme by leveraging the natural geometric characteristics of the reachable tube and employing a multiobjective optimization strategy. Initially, a multibody dynamic model with nine degrees of freedom was established and verified by the airdrop test data to ensure the accuracy and reliability of the model. Subsequently, the Sobol sensitivity analysis method was employed to assess uncertain factors that affect the deceleration phase of the reentry capsule. These factors are then utilized to determine the optimization parameters for the multiobjective optimization model. Ultimately, the multiobjective evolutionary algorithm based on decomposition was employed to solve the multiobjective optimization model, and the geometric boundary of the tube corresponds to the Pareto front of the multiobjective optimization. The proposed methodology was validated through a simulation experiment utilizing the Chang’e-5 reentry capsule as an engineering case. The experimental results unequivocally demonstrate the superior accuracy of our approach in predicting the boundary of the reachable tube compared to the Monte Carlo method. This research serves as a valuable reference for calculating reachable tubes in practical engineering scenarios and can be effectively applied to spacecraft search and rescue operations during the reentry phase.http://dx.doi.org/10.1155/2024/2311998 |
| spellingShingle | Wen Zou Zhanxin Cui Genghui Li Zhiwei Feng Zhenkun Wang Qingyu Gao Qingbin Zhang Tao Yang Reentry Capsule Reachable Tube Boundary Prediction via Evolutionary Multiobjective Optimization International Journal of Aerospace Engineering |
| title | Reentry Capsule Reachable Tube Boundary Prediction via Evolutionary Multiobjective Optimization |
| title_full | Reentry Capsule Reachable Tube Boundary Prediction via Evolutionary Multiobjective Optimization |
| title_fullStr | Reentry Capsule Reachable Tube Boundary Prediction via Evolutionary Multiobjective Optimization |
| title_full_unstemmed | Reentry Capsule Reachable Tube Boundary Prediction via Evolutionary Multiobjective Optimization |
| title_short | Reentry Capsule Reachable Tube Boundary Prediction via Evolutionary Multiobjective Optimization |
| title_sort | reentry capsule reachable tube boundary prediction via evolutionary multiobjective optimization |
| url | http://dx.doi.org/10.1155/2024/2311998 |
| work_keys_str_mv | AT wenzou reentrycapsulereachabletubeboundarypredictionviaevolutionarymultiobjectiveoptimization AT zhanxincui reentrycapsulereachabletubeboundarypredictionviaevolutionarymultiobjectiveoptimization AT genghuili reentrycapsulereachabletubeboundarypredictionviaevolutionarymultiobjectiveoptimization AT zhiweifeng reentrycapsulereachabletubeboundarypredictionviaevolutionarymultiobjectiveoptimization AT zhenkunwang reentrycapsulereachabletubeboundarypredictionviaevolutionarymultiobjectiveoptimization AT qingyugao reentrycapsulereachabletubeboundarypredictionviaevolutionarymultiobjectiveoptimization AT qingbinzhang reentrycapsulereachabletubeboundarypredictionviaevolutionarymultiobjectiveoptimization AT taoyang reentrycapsulereachabletubeboundarypredictionviaevolutionarymultiobjectiveoptimization |