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Online self-tuning fuzzy proportional–integral–derivative control for hydraulic load simulator

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Lee, B. R., Thanh, Truong Quoc, Truong, Dinh Quang and Ahn, Kyoung Kwan (2008) Online self-tuning fuzzy proportional–integral–derivative control for hydraulic load simulator. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, 222 (2). pp. 81-95. doi:10.1243/09596518JSCE484 ISSN 0959-6518.

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Official URL: http://dx.doi.org/10.1243/09596518JSCE484

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Abstract

Hydraulic systems play an important role in modern industry owing to the fact that hydraulic actuator systems have many advantages over other technologies with electric motors, high durability, and the ability to produce large force at high speeds. Therefore, the hydraulic
actuator has a wide range of application fields such as hydraulic pressing machines, moulding technology, etc. where controlled forces or pressures with high accuracy and fast response are the most significant demands. Consequently, many hybrid actuator models have been developed for research on how to control forces or pressures with the best results. The current paper presents a new kind of hydraulic load simulator for conducting performance and stability
tests for control forces of hydraulic hybrid systems. In the dynamic loading process, disturbance makes the control performance (such as stability, frequency response, loading sensitivity, etc.) decrease or turn bad. In order to improve the control performance of a loading
system and to eliminate or reduce the disturbance, an online self-tuning fuzzy proportional– integral–derivative (PID) controller is designed. Experiments are carried out to evaluate the effectiveness of the proposed control method applied for hydraulic systems with varied
external disturbance as in real working conditions

Item Type: Journal Article
Divisions: Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group)
Journal or Publication Title: Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering
Publisher: Sage Publications Ltd.
ISSN: 0959-6518
Official Date: 1 March 2008
Dates:
DateEvent
1 March 2008Published
3 December 2007Accepted
13 September 2007Submitted
Volume: 222
Number: 2
Page Range: pp. 81-95
DOI: 10.1243/09596518JSCE484
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access

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