Multi-Objective Optimization Method for Multi-Module Micro–Nano Satellite Components Assignment and Layout
The assembly optimization design of satellite components is a crucial element in the overall design of satellites. In this paper, a novel three-dimensional assembly optimization design problem (3D-AODP) for multi-module micro–nano satellite components is proposed according to the engineering require...
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MDPI AG
2025-07-01
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| author | Hao Zhang Jun Zhou Guanghui Liu |
| author_facet | Hao Zhang Jun Zhou Guanghui Liu |
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| description | The assembly optimization design of satellite components is a crucial element in the overall design of satellites. In this paper, a novel three-dimensional assembly optimization design problem (3D-AODP) for multi-module micro–nano satellite components is proposed according to the engineering requirements, aiming at optimizing the satellite mass characteristics, and taking into account constraints such as space interference, space occupation and special location. Multi-module micro–nano satellites are a new type of satellite configuration based on the assembly of multiple U-shaped cube units. The 3D-AODP of its components is a challenging two-layer composite optimization task involving discrete variable optimization of component allocation and continuous variable optimization of component layout, which interact with each other. To solve the problem, a hybrid assembly optimization method based on tabu search (TS) and multi-objective differential evolutionary (MODE) algorithms is proposed, in which the assignment problem of the components is converted into a domain search problem by the TS algorithm. The space interference constraints and space occupancy constraints of the components are considered, and an assignment scheme with the minimum mass difference is obtained. On this basis, a bi-objective differential evolutionary algorithm is used to develop the layout optimization problem for the components, which takes into account the spatial non-interference constraints and special location constraints of the components, and obtains the Pareto solution set of the assembly scheme under the optimal mass characteristics (moment of inertia and product of inertia). Finally, the feasibility and effectiveness of the proposed method is demonstrated by an engineering case. |
| format | Article |
| id | doaj-art-506c851e48db4b34b904f5a3ff7e84fc |
| institution | DOAJ |
| issn | 2226-4310 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | MDPI AG |
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| spelling | doaj-art-506c851e48db4b34b904f5a3ff7e84fc2025-08-20T02:48:19ZengMDPI AGAerospace2226-43102025-07-0112761410.3390/aerospace12070614Multi-Objective Optimization Method for Multi-Module Micro–Nano Satellite Components Assignment and LayoutHao Zhang0Jun Zhou1Guanghui Liu2Institute of Precision Guidance and Control, Northwestern Polytechnical University, Xi’an 710072, ChinaInstitute of Precision Guidance and Control, Northwestern Polytechnical University, Xi’an 710072, ChinaInstitute of Precision Guidance and Control, Northwestern Polytechnical University, Xi’an 710072, ChinaThe assembly optimization design of satellite components is a crucial element in the overall design of satellites. In this paper, a novel three-dimensional assembly optimization design problem (3D-AODP) for multi-module micro–nano satellite components is proposed according to the engineering requirements, aiming at optimizing the satellite mass characteristics, and taking into account constraints such as space interference, space occupation and special location. Multi-module micro–nano satellites are a new type of satellite configuration based on the assembly of multiple U-shaped cube units. The 3D-AODP of its components is a challenging two-layer composite optimization task involving discrete variable optimization of component allocation and continuous variable optimization of component layout, which interact with each other. To solve the problem, a hybrid assembly optimization method based on tabu search (TS) and multi-objective differential evolutionary (MODE) algorithms is proposed, in which the assignment problem of the components is converted into a domain search problem by the TS algorithm. The space interference constraints and space occupancy constraints of the components are considered, and an assignment scheme with the minimum mass difference is obtained. On this basis, a bi-objective differential evolutionary algorithm is used to develop the layout optimization problem for the components, which takes into account the spatial non-interference constraints and special location constraints of the components, and obtains the Pareto solution set of the assembly scheme under the optimal mass characteristics (moment of inertia and product of inertia). Finally, the feasibility and effectiveness of the proposed method is demonstrated by an engineering case.https://www.mdpi.com/2226-4310/12/7/614multi-module micro–nano satelliteassembly optimization designmass characteristicscomponent assignmentcomponent layoutdual-objective optimization |
| spellingShingle | Hao Zhang Jun Zhou Guanghui Liu Multi-Objective Optimization Method for Multi-Module Micro–Nano Satellite Components Assignment and Layout Aerospace multi-module micro–nano satellite assembly optimization design mass characteristics component assignment component layout dual-objective optimization |
| title | Multi-Objective Optimization Method for Multi-Module Micro–Nano Satellite Components Assignment and Layout |
| title_full | Multi-Objective Optimization Method for Multi-Module Micro–Nano Satellite Components Assignment and Layout |
| title_fullStr | Multi-Objective Optimization Method for Multi-Module Micro–Nano Satellite Components Assignment and Layout |
| title_full_unstemmed | Multi-Objective Optimization Method for Multi-Module Micro–Nano Satellite Components Assignment and Layout |
| title_short | Multi-Objective Optimization Method for Multi-Module Micro–Nano Satellite Components Assignment and Layout |
| title_sort | multi objective optimization method for multi module micro nano satellite components assignment and layout |
| topic | multi-module micro–nano satellite assembly optimization design mass characteristics component assignment component layout dual-objective optimization |
| url | https://www.mdpi.com/2226-4310/12/7/614 |
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