Multivariable Repetitive-predictive Controllers using Frequency Decomposition
Multivariable Repetitive-predictive Controllers using Frequency Decomposition
Repetitive control is a methodology for the tracking of a periodic reference signal. This paper develops a new approach to repetitive control systems design using receding horizon control with frequency decomposition of the reference signal. Moreover, design and implementation issues for this form of repetitive predictive control are investigated from the perspectives of controller complexity and the effects of measurement noise. The analysis is supported by a simulation study on a multi-input multi-output robot arm where the model has been constructed from measured frequency response data, and experimental results from application to an industrial AC motor.
1597-1604
Wang, L
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Chai, S
613f1e36-1ce1-44d5-a33e-4528622b819c
Rogers, E
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Freeman, C T
ccdd1272-cdc7-43fb-a1bb-b1ef0bdf5815
2012
Wang, L
1aaf7ac6-9013-4a66-b5a6-15c50637d5d3
Chai, S
613f1e36-1ce1-44d5-a33e-4528622b819c
Rogers, E
611b1de0-c505-472e-a03f-c5294c63bb72
Freeman, C T
ccdd1272-cdc7-43fb-a1bb-b1ef0bdf5815
Wang, L, Chai, S, Rogers, E and Freeman, C T
(2012)
Multivariable Repetitive-predictive Controllers using Frequency Decomposition.
IEEE Transactions on Control Systems Technology, 20 (6), .
Abstract
Repetitive control is a methodology for the tracking of a periodic reference signal. This paper develops a new approach to repetitive control systems design using receding horizon control with frequency decomposition of the reference signal. Moreover, design and implementation issues for this form of repetitive predictive control are investigated from the perspectives of controller complexity and the effects of measurement noise. The analysis is supported by a simulation study on a multi-input multi-output robot arm where the model has been constructed from measured frequency response data, and experimental results from application to an industrial AC motor.
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Published date: 2012
Organisations:
Southampton Wireless Group
Identifiers
Local EPrints ID: 272836
URI: http://eprints.soton.ac.uk/id/eprint/272836
ISSN: 1063-6536
PURE UUID: 3f967f5f-ef76-41ea-93bc-02c385458848
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Date deposited: 25 Sep 2011 10:01
Last modified: 15 Mar 2024 02:42
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Contributors
Author:
L Wang
Author:
S Chai
Author:
E Rogers
Author:
C T Freeman
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