Study of operator behavior, learning, and performance using an input-shaped bridge crane

Attir Khalid; William Singhose; John Huey; Jason Lawrence; David Frakes

Study of operator behavior, learning, and performance using an input-shaped bridge crane

Attir Khalid, William Singhose, John Huey, Jason Lawrence, David Frakes

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Input shaping is a simple way of reducing vibration in bridge cranes. Reduction of payload sway is particularly important if the crane must operate in a cluttered workspace or has to accurately position payloads. An input shaping controller has been implemented on a large bridge crane at the Georgia Institute of Technology. It is used to study the response of operators and their learning patterns while driving the crane through obstacle courses both with and without input shaping. An image processing technique was implemented to track the movement of the crane payload. Data from these experiments show that operators performed tasks faster, safer, and more effectively when input shaping is used.

Original language	English (US)
Title of host publication	Proceedings of the IEEE International Conference on Control Applications
Pages	759-764
Number of pages	6
Volume	1
State	Published - 2004
Externally published	Yes
Event	2004 IEEE International Conference on Control Applications - Taipei, Taiwan, Province of China Duration: Sep 2 2004 → Sep 4 2004

Other

Other	2004 IEEE International Conference on Control Applications
Country/Territory	Taiwan, Province of China
City	Taipei
Period	9/2/04 → 9/4/04

Keywords

Crane Control
Operator Learning
Sway Control
Vibration Control

ASJC Scopus subject areas

Engineering(all)

Cite this

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title = "Study of operator behavior, learning, and performance using an input-shaped bridge crane",

abstract = "Input shaping is a simple way of reducing vibration in bridge cranes. Reduction of payload sway is particularly important if the crane must operate in a cluttered workspace or has to accurately position payloads. An input shaping controller has been implemented on a large bridge crane at the Georgia Institute of Technology. It is used to study the response of operators and their learning patterns while driving the crane through obstacle courses both with and without input shaping. An image processing technique was implemented to track the movement of the crane payload. Data from these experiments show that operators performed tasks faster, safer, and more effectively when input shaping is used.",

keywords = "Crane Control, Operator Learning, Sway Control, Vibration Control",

author = "Attir Khalid and William Singhose and John Huey and Jason Lawrence and David Frakes",

year = "2004",

language = "English (US)",

volume = "1",

pages = "759--764",

booktitle = "Proceedings of the IEEE International Conference on Control Applications",

note = "2004 IEEE International Conference on Control Applications ; Conference date: 02-09-2004 Through 04-09-2004",

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TY - GEN

T1 - Study of operator behavior, learning, and performance using an input-shaped bridge crane

AU - Khalid, Attir

AU - Singhose, William

AU - Huey, John

AU - Lawrence, Jason

AU - Frakes, David

PY - 2004

Y1 - 2004

N2 - Input shaping is a simple way of reducing vibration in bridge cranes. Reduction of payload sway is particularly important if the crane must operate in a cluttered workspace or has to accurately position payloads. An input shaping controller has been implemented on a large bridge crane at the Georgia Institute of Technology. It is used to study the response of operators and their learning patterns while driving the crane through obstacle courses both with and without input shaping. An image processing technique was implemented to track the movement of the crane payload. Data from these experiments show that operators performed tasks faster, safer, and more effectively when input shaping is used.

AB - Input shaping is a simple way of reducing vibration in bridge cranes. Reduction of payload sway is particularly important if the crane must operate in a cluttered workspace or has to accurately position payloads. An input shaping controller has been implemented on a large bridge crane at the Georgia Institute of Technology. It is used to study the response of operators and their learning patterns while driving the crane through obstacle courses both with and without input shaping. An image processing technique was implemented to track the movement of the crane payload. Data from these experiments show that operators performed tasks faster, safer, and more effectively when input shaping is used.

KW - Crane Control

KW - Operator Learning

KW - Sway Control

KW - Vibration Control

UR - http://www.scopus.com/inward/record.url?scp=17744362335&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=17744362335&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:17744362335

VL - 1

SP - 759

EP - 764

BT - Proceedings of the IEEE International Conference on Control Applications

T2 - 2004 IEEE International Conference on Control Applications

Y2 - 2 September 2004 through 4 September 2004

ER -

Study of operator behavior, learning, and performance using an input-shaped bridge crane

Abstract

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Keywords

ASJC Scopus subject areas

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