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contributor authorSeung-Bok Choi
contributor authorWoo-Yeon Choi
date accessioned2017-05-09T00:02:09Z
date available2017-05-09T00:02:09Z
date copyrightMarch, 2000
date issued2000
identifier issn0022-0434
identifier otherJDSMAA-26262#202_1.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/123515
description abstractThis paper presents the position control of a double-rod cylinder system using a hydraulic bridge circuit with four electro-rheological (ER) valves. After synthesizing a silicone oil-based ER fluid, a Bingham property of the ER fluid is first tested as a function of electric field in order to determine operational parameters for the ER valves. On the basis of the level of the field-dependent yield stress of the composed ER fluid, four cylindrical ER valves are designed and manufactured. Subsequently, step responses for pressure drops of the ER valve are empirically analyzed with respect to the intensity of the electric field. A cylinder system with a cart is then constructed using a hydraulic bridge circuit with four ER valves, and its governing equation of motion is derived. A neural network control scheme incorporating the proportional-integral-derivative (PID) controller is formulated through the feedback error learning method, and experimentally implemented for the position control of the cylinder system. Both regulating and tracking position control responses for square and sinusoidal trajectories are presented in time domain. In addition, a tracking durability of the control system is provided to demonstrate the practical feasibility of the proposed methodology. [S0022-0434(00)00701-2]
publisherThe American Society of Mechanical Engineers (ASME)
titlePosition Control of a Cylinder Using a Hydraulic Bridge Circuit With ER Valves
typeJournal Paper
journal volume122
journal issue1
journal titleJournal of Dynamic Systems, Measurement, and Control
identifier doi10.1115/1.482443
journal fristpage202
journal lastpage209
identifier eissn1528-9028
keywordsElectric fields
keywordsElectric bridges
keywordsElectrorheological fluids
keywordsCylinders
keywordsPosition control
keywordsPressure drop
keywordsValves
keywordsControl systems
keywordsControl equipment
keywordsArtificial neural networks
keywordsDurability AND Yield stress
treeJournal of Dynamic Systems, Measurement, and Control:;2000:;volume( 122 ):;issue: 001
contenttypeFulltext


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