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Simulating the effects of ship motio...
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McKee, Joyce C.
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Simulating the effects of ship motion on postural stability using articulated dynamic models.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Simulating the effects of ship motion on postural stability using articulated dynamic models./
作者:
McKee, Joyce C.
面頁冊數:
106 p.
附註:
Source: Masters Abstracts International, Volume: 43-04, page: 1288.
Contained By:
Masters Abstracts International43-04.
標題:
Applied Mechanics. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=MQ97427
ISBN:
0612974278
Simulating the effects of ship motion on postural stability using articulated dynamic models.
McKee, Joyce C.
Simulating the effects of ship motion on postural stability using articulated dynamic models.
- 106 p.
Source: Masters Abstracts International, Volume: 43-04, page: 1288.
Thesis (M.A.Sc.)--Carleton University (Canada), 2004.
An articulated dynamic postural stability model applicable in a moving environment has been created for predicting motion-induced interruptions of humans on ships. The model is a combination of two planar models, a simple inverted pendulum in the sagittal plane and a four-bar linkage in the frontal plane. The dynamics of both planar models were derived by hand and then linearized for the purpose of controller design. Single-input-single-output controllers were applied to each model actuating ankle joint torque. The controllers were designed such that the closed-loop poles had the damping ratios and undamped natural frequencies that match experimental data produced at the Naval Biodynamics Laboratory (NBDL). The fully nonlinear form of the dynamic models were implemented using ADAMS multibody dynamics software. The ship motions used in the experiments represented motions at the flight deck of an FFG7 class frigate operating in sea state five at a ship speed of 10 knots and ship heading of 45° relative to the principal wave direction. The sagittal and frontal plane models were then validated individually against a second set of data with a heading of 105° relative to the principal wave direction. The combined model was then run for a sample set of simulated ship motions having the same degrees of freedom as those included in the NBDL experiments, and the results discussed. It was found that articulated dynamic models offer the potential for improved prediction of MIIs over alternative non-articulated models.
ISBN: 0612974278Subjects--Topical Terms:
1018410
Applied Mechanics.
Simulating the effects of ship motion on postural stability using articulated dynamic models.
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Source: Masters Abstracts International, Volume: 43-04, page: 1288.
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An articulated dynamic postural stability model applicable in a moving environment has been created for predicting motion-induced interruptions of humans on ships. The model is a combination of two planar models, a simple inverted pendulum in the sagittal plane and a four-bar linkage in the frontal plane. The dynamics of both planar models were derived by hand and then linearized for the purpose of controller design. Single-input-single-output controllers were applied to each model actuating ankle joint torque. The controllers were designed such that the closed-loop poles had the damping ratios and undamped natural frequencies that match experimental data produced at the Naval Biodynamics Laboratory (NBDL). The fully nonlinear form of the dynamic models were implemented using ADAMS multibody dynamics software. The ship motions used in the experiments represented motions at the flight deck of an FFG7 class frigate operating in sea state five at a ship speed of 10 knots and ship heading of 45° relative to the principal wave direction. The sagittal and frontal plane models were then validated individually against a second set of data with a heading of 105° relative to the principal wave direction. The combined model was then run for a sample set of simulated ship motions having the same degrees of freedom as those included in the NBDL experiments, and the results discussed. It was found that articulated dynamic models offer the potential for improved prediction of MIIs over alternative non-articulated models.
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