A dual iterative learning control loops for cascade systems
A dual iterative learning control loops for cascade systems
Iterative Learning Control (ILC) is a practical control methodology which can “learn” from the experience gained from past iterations. ILC has been widely used in many industrial repetitive processes and has shown its potential in achieving perfect tracking performance. This paper focuses on time-varying cascade systems with two sub-systems. An ILC algorithm is available for each sub-system to ensure the convergence. By connecting two ILC loops with a proper time-scale separation, the main result shows that the cascade system semi-globally practically uniformly converges to the desired trajectory. Simulation result supports the main result.
694-699
Tan, Y.
5f06a398-5b4f-499d-a079-29b4bcf5f7fc
Dai, H.D.
b07dde97-b87a-408c-801c-c4ad7a95b1a5
Freeman, C.T.
ccdd1272-cdc7-43fb-a1bb-b1ef0bdf5815
25 July 2012
Tan, Y.
5f06a398-5b4f-499d-a079-29b4bcf5f7fc
Dai, H.D.
b07dde97-b87a-408c-801c-c4ad7a95b1a5
Freeman, C.T.
ccdd1272-cdc7-43fb-a1bb-b1ef0bdf5815
Tan, Y., Dai, H.D. and Freeman, C.T.
(2012)
A dual iterative learning control loops for cascade systems.
24th Chinese Control and Decision Conference, Hefei, China.
24 - 26 Jul 2012.
.
Record type:
Conference or Workshop Item
(Paper)
Abstract
Iterative Learning Control (ILC) is a practical control methodology which can “learn” from the experience gained from past iterations. ILC has been widely used in many industrial repetitive processes and has shown its potential in achieving perfect tracking performance. This paper focuses on time-varying cascade systems with two sub-systems. An ILC algorithm is available for each sub-system to ensure the convergence. By connecting two ILC loops with a proper time-scale separation, the main result shows that the cascade system semi-globally practically uniformly converges to the desired trajectory. Simulation result supports the main result.
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Published date: 25 July 2012
Venue - Dates:
24th Chinese Control and Decision Conference, Hefei, China, 2012-07-24 - 2012-07-26
Organisations:
EEE
Identifiers
Local EPrints ID: 340085
URI: http://eprints.soton.ac.uk/id/eprint/340085
PURE UUID: a5c816f3-01c5-4db4-9615-24dbc3593b42
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Date deposited: 09 Jun 2012 22:42
Last modified: 27 Apr 2022 10:57
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Contributors
Author:
Y. Tan
Author:
H.D. Dai
Author:
C.T. Freeman
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