A computational tool for conceptual design and optimization of planetary rovers
The design process of a Mars rover is driven by multiple design constraints, namely overall mass, power consumption and volume (dimensions). Various systems, such as mobility, manipulation, handling, power, thermal, communication, navigation, avionics and science instruments, together make a complet...
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| Format: | Article |
| Language: | English |
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National Institute for Aerospace Research “Elie Carafoli” - INCAS
2023-03-01
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| Series: | INCAS Bulletin |
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| Online Access: | https://bulletin.incas.ro/files/seeni__schafer__vol_15_iss_1.pdf |
| _version_ | 1811157602701148160 |
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| author | Aravind SEENI Bernd SCHÄFER |
| author_facet | Aravind SEENI Bernd SCHÄFER |
| author_sort | Aravind SEENI |
| collection | DOAJ |
| description | The design process of a Mars rover is driven by multiple design constraints, namely overall mass, power consumption and volume (dimensions). Various systems, such as mobility, manipulation, handling, power, thermal, communication, navigation, avionics and science instruments, together make a complete rover vehicle and they should function collectively to perform a given task. Each of the subsystems can be thought of as modular building blocks that are integrated together to form a fully functional rover vehicle. When approaching the design of such a vehicle, the designer should take into account of cross design dependencies existent between different subsystems and technology limitations. Performing any particular task, would lead to many design possibilities. Choosing the final design from many feasible solutions is arguably a daunting task. In order to make this process simple and convenient, as well as to understand the design non-linearity existing in this solution space, the authors have employed a systems engineering approach to develop a tool comprising subsystem models. The subsystem models comprise parametric and physics-based models. For designing suitable user-defined objectives, these models when integrated with Genetic Algorithm forms an effective tool to support design trade-offs during the conceptual design process. This integrated modeling and optimization approach is thought to be efficient in identifying rover system concepts. |
| first_indexed | 2024-04-10T05:10:01Z |
| format | Article |
| id | doaj.art-0017a3d7a67b4292a92475e9714399e5 |
| institution | Directory Open Access Journal |
| issn | 2066-8201 2247-4528 |
| language | English |
| last_indexed | 2024-04-10T05:10:01Z |
| publishDate | 2023-03-01 |
| publisher | National Institute for Aerospace Research “Elie Carafoli” - INCAS |
| record_format | Article |
| series | INCAS Bulletin |
| spelling | doaj.art-0017a3d7a67b4292a92475e9714399e52023-03-09T07:54:43ZengNational Institute for Aerospace Research “Elie Carafoli” - INCASINCAS Bulletin2066-82012247-45282023-03-01151819610.13111/2066-8201.2023.15.1.8A computational tool for conceptual design and optimization of planetary roversAravind SEENI0Bernd SCHÄFER1Institute of Robotics and Mechatronics, German Aerospace Center (DLR), Oberpfaffenhofen, 82234 Wessling, Bavaria, Germany and Department of Aeronautical Engineering, Rajalakshmi Engineering College, Chennai 602105, Tamilnadu, India, aravindseeni.s@rajalakshmi.edu.inInstitute of Robotics and Mechatronics, German Aerospace Center (DLR), Oberpfaffenhofen, 82234 Wessling, Bavaria, GermanyThe design process of a Mars rover is driven by multiple design constraints, namely overall mass, power consumption and volume (dimensions). Various systems, such as mobility, manipulation, handling, power, thermal, communication, navigation, avionics and science instruments, together make a complete rover vehicle and they should function collectively to perform a given task. Each of the subsystems can be thought of as modular building blocks that are integrated together to form a fully functional rover vehicle. When approaching the design of such a vehicle, the designer should take into account of cross design dependencies existent between different subsystems and technology limitations. Performing any particular task, would lead to many design possibilities. Choosing the final design from many feasible solutions is arguably a daunting task. In order to make this process simple and convenient, as well as to understand the design non-linearity existing in this solution space, the authors have employed a systems engineering approach to develop a tool comprising subsystem models. The subsystem models comprise parametric and physics-based models. For designing suitable user-defined objectives, these models when integrated with Genetic Algorithm forms an effective tool to support design trade-offs during the conceptual design process. This integrated modeling and optimization approach is thought to be efficient in identifying rover system concepts.https://bulletin.incas.ro/files/seeni__schafer__vol_15_iss_1.pdfmass modelspower modelsenvironmental modelsdesign variablesgenetic algorithmminimal massmaximal science returnsmobility subsystempower subsystem |
| spellingShingle | Aravind SEENI Bernd SCHÄFER A computational tool for conceptual design and optimization of planetary rovers INCAS Bulletin mass models power models environmental models design variables genetic algorithm minimal mass maximal science returns mobility subsystem power subsystem |
| title | A computational tool for conceptual design and optimization of planetary rovers |
| title_full | A computational tool for conceptual design and optimization of planetary rovers |
| title_fullStr | A computational tool for conceptual design and optimization of planetary rovers |
| title_full_unstemmed | A computational tool for conceptual design and optimization of planetary rovers |
| title_short | A computational tool for conceptual design and optimization of planetary rovers |
| title_sort | computational tool for conceptual design and optimization of planetary rovers |
| topic | mass models power models environmental models design variables genetic algorithm minimal mass maximal science returns mobility subsystem power subsystem |
| url | https://bulletin.incas.ro/files/seeni__schafer__vol_15_iss_1.pdf |
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