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Autonomous Overhead Crane System Using a Fuzzy Logic Controller.

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Title: Autonomous Overhead Crane System Using a Fuzzy Logic Controller.
Authors: Omar, F.1, Karray, F.1, Basir, O.1, Yu, L.1
Source: Journal of Vibration & Control. Sep2004, Vol. 10 Issue 9, p1255-1270. 16p. 1 Black and White Photograph, 6 Diagrams, 1 Chart, 5 Graphs.
Subjects: Automation, Cranes (Machinery), Loading & unloading, Control theory (Engineering), Fuzzy logic
Abstract: This paper pertains to advanced automation of the load transfer process using overhead cranes. Overhead cranes are widely used in various areas of industry, including manufacturing, construction, shipping, etc. Load transfer operations using overhead cranes have to be performed fast and safely. As such, these operations are handled by expert operators; however, the demand for an automatic consistent and reliable crane operation is on the rise. The crane-load system is highly nonlinear and time-varying, hence, solutions considering model-base approaches may lead to a complicated controller structure. Such a controller may require accurate estimation of the crane system parameters. In this paper we present a new fuzzy logic controller for overhead crane operation. The fuzzy controller is designed based on knowledge of an expert crane operator, and does not require any parameter estimation. It mimics the operator behavior by using the same crane-load system states that are realized by the operator. These states are the trolley position error and the load sway angle. The fuzzy controller action, on the other hand, is the desired trolley speed. The proposed controller is implemented and tested on a small-scale overhead crane. Experimental results show robust operation of the fuzzy controller as compared with that of a conventional controller. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Vibration & Control is the property of Sage Publications, Ltd. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
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PubType: Academic Journal
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  Data: Autonomous Overhead Crane System Using a Fuzzy Logic Controller.
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  Data: <searchLink fieldCode="AR" term="%22Omar%2C+F%2E%22">Omar, F.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Karray%2C+F%2E%22">Karray, F.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Basir%2C+O%2E%22">Basir, O.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Yu%2C+L%2E%22">Yu, L.</searchLink><relatesTo>1</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Vibration+%26+Control%22">Journal of Vibration & Control</searchLink>. Sep2004, Vol. 10 Issue 9, p1255-1270. 16p. 1 Black and White Photograph, 6 Diagrams, 1 Chart, 5 Graphs.
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  Data: <searchLink fieldCode="DE" term="%22Automation%22">Automation</searchLink><br /><searchLink fieldCode="DE" term="%22Cranes+%28Machinery%29%22">Cranes (Machinery)</searchLink><br /><searchLink fieldCode="DE" term="%22Loading+%26+unloading%22">Loading & unloading</searchLink><br /><searchLink fieldCode="DE" term="%22Control+theory+%28Engineering%29%22">Control theory (Engineering)</searchLink><br /><searchLink fieldCode="DE" term="%22Fuzzy+logic%22">Fuzzy logic</searchLink>
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  Data: This paper pertains to advanced automation of the load transfer process using overhead cranes. Overhead cranes are widely used in various areas of industry, including manufacturing, construction, shipping, etc. Load transfer operations using overhead cranes have to be performed fast and safely. As such, these operations are handled by expert operators; however, the demand for an automatic consistent and reliable crane operation is on the rise. The crane-load system is highly nonlinear and time-varying, hence, solutions considering model-base approaches may lead to a complicated controller structure. Such a controller may require accurate estimation of the crane system parameters. In this paper we present a new fuzzy logic controller for overhead crane operation. The fuzzy controller is designed based on knowledge of an expert crane operator, and does not require any parameter estimation. It mimics the operator behavior by using the same crane-load system states that are realized by the operator. These states are the trolley position error and the load sway angle. The fuzzy controller action, on the other hand, is the desired trolley speed. The proposed controller is implemented and tested on a small-scale overhead crane. Experimental results show robust operation of the fuzzy controller as compared with that of a conventional controller. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Journal of Vibration & Control is the property of Sage Publications, Ltd. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=14656962
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        Value: 10.1177/1077546304042038
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      – Code: eng
        Text: English
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        PageCount: 16
        StartPage: 1255
    Subjects:
      – SubjectFull: Automation
        Type: general
      – SubjectFull: Cranes (Machinery)
        Type: general
      – SubjectFull: Loading & unloading
        Type: general
      – SubjectFull: Control theory (Engineering)
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      – SubjectFull: Fuzzy logic
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      – TitleFull: Autonomous Overhead Crane System Using a Fuzzy Logic Controller.
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            NameFull: Omar, F.
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            NameFull: Karray, F.
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            NameFull: Basir, O.
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            – D: 01
              M: 09
              Text: Sep2004
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              Y: 2004
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