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Modeling, Robust Control, and Experi...

Escobar Sanabria, David.

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Modeling, Robust Control, and Experimental Validation of a Supercavitating Vehicle.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Modeling, Robust Control, and Experimental Validation of a Supercavitating Vehicle./
作者:	Escobar Sanabria, David.
面頁冊數:	118 p.
附註:	Source: Dissertation Abstracts International, Volume: 77-03(E), Section: B.
Contained By:	Dissertation Abstracts International77-03B(E).
標題:	Aerospace engineering. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3727822
ISBN:	9781339130583

Modeling, Robust Control, and Experimental Validation of a Supercavitating Vehicle.
Escobar Sanabria, David.

Modeling, Robust Control, and Experimental Validation of a Supercavitating Vehicle. - 118 p.

Source: Dissertation Abstracts International, Volume: 77-03(E), Section: B.

Thesis (Ph.D.)--University of Minnesota, 2015.

This dissertation considers the mathematical modeling, control under uncertainty, and experimental validation of an underwater supercavitating vehicle. By traveling inside a gas cavity, a supercavitating vehicle reduces hydrodynamic drag, increases speed, and minimizes power consumption. The attainable speed and power efficiency make these vehicles attractive for undersea exploration, high-speed transportation, and defense. However, the benefits of traveling inside a cavity come with difficulties in controlling the vehicle dynamics. The main challenge is the nonlinear force that arises when the back-end of the vehicle pierces the cavity. This force, referred to as planing, leads to oscillatory motion and instability. Control technologies that are robust to planing and suited for practical implementation need to be developed. To enable these technologies, a low-order vehicle model that accounts for inaccuracy in the characterization of planing is required. Additionally, an experimental method to evaluate possible pitfalls in the models and controllers is necessary before undersea testing.

ISBN: 9781339130583Subjects--Topical Terms:

1002622
Aerospace engineering.

Modeling, Robust Control, and Experimental Validation of a Supercavitating Vehicle.
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100 1 $a Escobar Sanabria, David. $3 3194073
245 1 0 $a Modeling, Robust Control, and Experimental Validation of a Supercavitating Vehicle.
300 $a 118 p.
500 $a Source: Dissertation Abstracts International, Volume: 77-03(E), Section: B.
500 $a Advisers: Roger E.A. Arndt; Gary J. Balas.
502 $a Thesis (Ph.D.)--University of Minnesota, 2015.
520 $a This dissertation considers the mathematical modeling, control under uncertainty, and experimental validation of an underwater supercavitating vehicle. By traveling inside a gas cavity, a supercavitating vehicle reduces hydrodynamic drag, increases speed, and minimizes power consumption. The attainable speed and power efficiency make these vehicles attractive for undersea exploration, high-speed transportation, and defense. However, the benefits of traveling inside a cavity come with difficulties in controlling the vehicle dynamics. The main challenge is the nonlinear force that arises when the back-end of the vehicle pierces the cavity. This force, referred to as planing, leads to oscillatory motion and instability. Control technologies that are robust to planing and suited for practical implementation need to be developed. To enable these technologies, a low-order vehicle model that accounts for inaccuracy in the characterization of planing is required. Additionally, an experimental method to evaluate possible pitfalls in the models and controllers is necessary before undersea testing.
520 $a The major contribution of this dissertation is a unified framework for mathematical modeling, robust control synthesis, and experimental validation of a supercavitating vehicle. First, we introduce affordable experimental methods for mathematical modeling and controller testing under planing and realistic flow conditions. Then, using experimental observations and physical principles, we create a low-order nonlinear model of the longitudinal vehicle motion. This model quantifies the planing uncertainty and is suitable for robust controller synthesis. Next, based on the vehicle model, we develop automated tools for synthesizing controllers that deliver a certificate of performance in the face of nonlinear and uncertain planing forces. We demonstrate theoretically and experimentally that the proposed controllers ensure higher performance when the uncertain planing dynamics are considered. Finally, we discuss future directions in supercavitating vehicle control.
590 $a School code: 0130.
650 4 $a Aerospace engineering. $3 1002622
650 4 $a Computer science. $3 523869
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710 2 $a University of Minnesota. $b Aerospace Engineering and Mechanics. $3 1681609
773 0 $t Dissertation Abstracts International $g 77-03B(E).
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793 $a English
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