Performance enhanced robust iterative learning control with experimental application to PMSM position tracking
Performance enhanced robust iterative learning control with experimental application to PMSM position tracking
This brief develops an innovative robust iterative learning control law using the repetitive process setting. The new design is experimentally validated through a comprehensive set of experiments highlighting the capabilities for the position tracking control of a permanent magnet synchronous motor subject to load disturbances in the presence of uncertainties in selected parameters.
Mandra, Slawomir
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Galkowski, Krzysztof
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Rogers, Eric
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Rauh, Andreas
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Aschemann, Harald
262f68bc-520e-4c5f-ae53-da7b47ea847e
30 July 2019
Mandra, Slawomir
009595f1-0b98-4afb-a353-0f8f3f077a6e
Galkowski, Krzysztof
322994ac-7e24-4350-ab72-cc80ac8078ef
Rogers, Eric
611b1de0-c505-472e-a03f-c5294c63bb72
Rauh, Andreas
c634dd32-379e-4986-b116-16b1477f8ec5
Aschemann, Harald
262f68bc-520e-4c5f-ae53-da7b47ea847e
Mandra, Slawomir, Galkowski, Krzysztof, Rogers, Eric, Rauh, Andreas and Aschemann, Harald
(2019)
Performance enhanced robust iterative learning control with experimental application to PMSM position tracking.
IEEE Transactions on Control Systems Technology, 27 (4), [DOI: 10.1109/TCST.2018.2816906].
(doi:10.1109/TCST.2018.2816906).
Abstract
This brief develops an innovative robust iterative learning control law using the repetitive process setting. The new design is experimentally validated through a comprehensive set of experiments highlighting the capabilities for the position tracking control of a permanent magnet synchronous motor subject to load disturbances in the presence of uncertainties in selected parameters.
Text
Performance Enhanced Robust Iterative Learning
- Accepted Manuscript
More information
Accepted/In Press date: 3 March 2018
e-pub ahead of print date: 12 April 2018
Published date: 30 July 2019
Identifiers
Local EPrints ID: 418875
URI: http://eprints.soton.ac.uk/id/eprint/418875
ISSN: 1063-6536
PURE UUID: cc879bf1-f574-487b-8a13-081f2c52be2d
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Date deposited: 23 Mar 2018 17:30
Last modified: 16 Mar 2024 06:22
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Contributors
Author:
Slawomir Mandra
Author:
Krzysztof Galkowski
Author:
Eric Rogers
Author:
Andreas Rauh
Author:
Harald Aschemann
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