Rejection of periodic disturbances using MRAC with minimal controller synthesis

The tracking/rejection of periodic disturbances in linear systems is achievable via internal model principle-based techniques, such as repetitive control. However, when the frequency of the signal to track/reject is uncertain or time-varying, the performance of these controllers decays dramatically....

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Published in2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation (ETFA) pp. 1 - 6
Main Authors Larco Barros, Ciro, Olm, Josep M., Costa-Castello, Ramon
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2016
Subjects
Adaptation models
Adaptive control
DC motors
Linear systems
Mathematical model
Robustness
Uncertainty
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DOI10.1109/ETFA.2016.7733577

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Summary:The tracking/rejection of periodic disturbances in linear systems is achievable via internal model principle-based techniques, such as repetitive control. However, when the frequency of the signal to track/reject is uncertain or time-varying, the performance of these controllers decays dramatically. This article discusses the basics of Model Reference Adaptive Control with Minimal Controller Synthesis, and assesses its applicability to this problem from a comparative study of the performance of this type of controllers and a repetitive controller, both designed to regulate the speed of a DC motor subject to periodic disturbances. The study is supported by experimental results.
DOI:10.1109/ETFA.2016.7733577