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A methodology for the efficient inte...
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Phan, Leon L.
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A methodology for the efficient integration of transient constraints in the design of aircraft dynamic systems.
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
A methodology for the efficient integration of transient constraints in the design of aircraft dynamic systems./
作者:
Phan, Leon L.
面頁冊數:
312 p.
附註:
Source: Dissertation Abstracts International, Volume: 71-10, Section: B, page: .
Contained By:
Dissertation Abstracts International71-10B.
標題:
Engineering, Aerospace. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3425139
ISBN:
9781124258522
A methodology for the efficient integration of transient constraints in the design of aircraft dynamic systems.
Phan, Leon L.
A methodology for the efficient integration of transient constraints in the design of aircraft dynamic systems.
- 312 p.
Source: Dissertation Abstracts International, Volume: 71-10, Section: B, page: .
Thesis (Ph.D.)--Georgia Institute of Technology, 2010.
The motivation behind this thesis mainly stems from previous work performed at Hispano-Suiza (Safran Group) in the context of the European research project "Power Optimised Aircraft". Extensive testing on the COPPER Bird RTM, a test rig designed to characterize aircraft electrical networks, demonstrated the relevance of transient regimes in the design and development of dynamic systems.
ISBN: 9781124258522Subjects--Topical Terms:
1018395
Engineering, Aerospace.
A methodology for the efficient integration of transient constraints in the design of aircraft dynamic systems.
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Source: Dissertation Abstracts International, Volume: 71-10, Section: B, page: .
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Adviser: Dimitri N. Mavris.
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Thesis (Ph.D.)--Georgia Institute of Technology, 2010.
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The motivation behind this thesis mainly stems from previous work performed at Hispano-Suiza (Safran Group) in the context of the European research project "Power Optimised Aircraft". Extensive testing on the COPPER Bird RTM, a test rig designed to characterize aircraft electrical networks, demonstrated the relevance of transient regimes in the design and development of dynamic systems.
520
$a
Transient regimes experienced by dynamic systems may have severe impacts on the operation of the aircraft. For example, the switching on of a high electrical load might cause a network voltage drop inducing a loss of power available to critical aircraft systems. These transient behaviors are thus often regulated by dynamic constraints, requiring the dynamic signals to remain within bounds whose values vary with time. The verification of these peculiar types of constraints, which generally requires high-fidelity time-domain simulation, intervenes late in the system development process, thus potentially causing costly design iterations.
520
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The research objective of this thesis is to develop a methodology that integrates the verification of dynamic constraints in the early specification of dynamic systems. In order to circumvent the inefficiencies of time-domain simulation, multivariate dynamic surrogate models of the original time-domain simulation models are generated, building on a nonlinear system identification technique using wavelet neural networks (or wavenets), which allow the multiscale nature of transient signals to be captured.
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However, training multivariate wavenets can become computationally prohibitive as the number of design variables increases. Therefore, an alternate approach is formulated, in which dynamic surrogate models using sigmoid-based neural networks are used to emulate the transient behavior of the envelopes of the time-domain response. Thus, in order to train the neural network, the envelopes are extracted by first separating the scales of the dynamic response, using a multiresolution analysis (MRA) based on the discrete wavelet transform. The MRA separates the dynamic response into a trend and a noise signal (ripple). The envelope of the noise is then computed with a windowing method, and recombined with the trend in order to reconstruct the global envelope of the dynamic response.
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$a
The run-time efficiency of the resulting dynamic surrogate models enable the implementation of a data farming approach, in which a Monte-Carlo simulation generates time-domain behaviors of transient responses for a vast set of design and operation scenarios spanning the design and operation space. An interactive visualization environment, enabling what-if analyses, will be developed; the user can thereby instantaneously comprehend the transient response of the system (or its envelope) and its sensitivities to design and operation variables, as well as filter the design space to have it exhibit only the design scenarios verifying the dynamic constraints.
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The proposed methodology, along with its foundational hypotheses, are tested on the design and optimization of a 350VDC network, where a generator and its control system are concurrently designed in order to minimize the electrical losses, while ensuring that the transient undervoltage induced by peak demands in the consumption of a motor does not violate transient power quality constraints.
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3425139
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