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A Declarative Design Approach to Mod...
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Hoag, Lucy M.
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A Declarative Design Approach to Modeling Traditional and Non-Traditional Space Systems.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
A Declarative Design Approach to Modeling Traditional and Non-Traditional Space Systems./
作者:
Hoag, Lucy M.
面頁冊數:
306 p.
附註:
Source: Dissertation Abstracts International, Volume: 75-11(E), Section: B.
Contained By:
Dissertation Abstracts International75-11B(E).
標題:
Engineering, Aerospace. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3628186
ISBN:
9781321037494
A Declarative Design Approach to Modeling Traditional and Non-Traditional Space Systems.
Hoag, Lucy M.
A Declarative Design Approach to Modeling Traditional and Non-Traditional Space Systems.
- 306 p.
Source: Dissertation Abstracts International, Volume: 75-11(E), Section: B.
Thesis (Ph.D.)--University of Southern California, 2014.
The space system design process is known to be laborious, complex, and computationally demanding. It is highly multi-disciplinary, involving several interdependent subsystems that must be both highly optimized and reliable due to the high cost of launch. Satellites must also be capable of operating in harsh and unpredictable environments, so integrating high-fidelity analysis is important. To address each of these concerns, a holistic design approach is necessary. However, while the sophistication of space systems has evolved significantly in the last 60 years, improvements in the design process have been comparatively stagnant. Space systems continue to be designed using a procedural, subsystem-by-subsystem approach. This method is inadequate since it generally requires extensive iteration and limited or heuristic-based search, which can be slow, labor-intensive, and inaccurate.
ISBN: 9781321037494Subjects--Topical Terms:
1018395
Engineering, Aerospace.
A Declarative Design Approach to Modeling Traditional and Non-Traditional Space Systems.
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Source: Dissertation Abstracts International, Volume: 75-11(E), Section: B.
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The space system design process is known to be laborious, complex, and computationally demanding. It is highly multi-disciplinary, involving several interdependent subsystems that must be both highly optimized and reliable due to the high cost of launch. Satellites must also be capable of operating in harsh and unpredictable environments, so integrating high-fidelity analysis is important. To address each of these concerns, a holistic design approach is necessary. However, while the sophistication of space systems has evolved significantly in the last 60 years, improvements in the design process have been comparatively stagnant. Space systems continue to be designed using a procedural, subsystem-by-subsystem approach. This method is inadequate since it generally requires extensive iteration and limited or heuristic-based search, which can be slow, labor-intensive, and inaccurate.
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The use of a declarative design approach can potentially address these inadequacies. In the declarative programming style, the focus of a problem is placed on what the objective is, and not necessarily how it should be achieved. In the context of design, this entails knowledge expressed as a declaration of statements that are true about the desired artifact instead of explicit instructions on how to implement it. A well-known technique is through constraint-based reasoning, where a design problem is represented as a network of rules and constraints that are reasoned across by a solver to dynamically discover the optimal candidate(s). This enables implicit instantiation of the tradespace and allows for automatic generation of all feasible design candidates. As such, this approach also appears to be well-suited to modeling adaptable space systems, which generally have large tradespaces and possess configurations that are not well-known a priori.
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This research applied a declarative design approach to holistic satellite design and to tradespace exploration for adaptable space systems. The approach was tested during the design of USC's Aeneas nanosatellite project, and a case study was performed to assess the advantages of the new approach over past procedural approaches. It was found that use of the declarative approach improved design accuracy through exhaustive tradespace search and provable optimality; decreased design time through improved model generation, faster run time, and reduction in time and number of iteration cycles; and enabled modular and extensible code. Observed weaknesses included non-intuitive model abstraction; increased debugging time; and difficulty of data extrapolation and analysis.
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