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...

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Bibliographic Details
Published inIEEE transactions on control systems technology Vol. 27; no. 4; pp. 1813 - 1819
Main Authors Mandra, Slawomir, Galkowski, Krzysztof, Rogers, Eric, Rauh, Andreas, Aschemann, Harald
Format Journal Article
LanguageEnglish
Published New York IEEE 01.07.2019
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Control theory
Feedforward systems
Iterative learning control (ILC)
Learning
Parameter uncertainty
permanent magnet synchronous motor (PMSM)
Permanent magnets
Process control
repetitive process stability theory
Robust control
Stability analysis
Symmetric matrices
Synchronous motors
Tracking control
Trajectory
Uncertainty
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Summary: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.
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ISSN:1063-6536
1558-0865
DOI:10.1109/TCST.2018.2816906