A robust design of time-varying internal model principle-based control for ultra-precision tracking in a direct-drive servo stage

Fuente: arXiv
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Auteurs principaux: Cao, Yue, Zhang, Zhen
Format: Preprint
Publié: 2023
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author Cao, Yue
Zhang, Zhen
author_facet Cao, Yue
Zhang, Zhen
contents This paper proposes a robust design of the time-varying internal model principle-based control (TV-IMPC) for tracking sophisticated references generated by linear time-varying (LTV) autonomous systems. The existing TV-IMPC design usually requires a complete knowledge of the plant I/O (input/output) model, leading to the lack of structural robustness. To tackle this issue, we, in the paper, design a gray-box extended state observer (ESO) to estimate and compensate unknown model uncertainties and external disturbances. By means of the ESO feedback, the plant model is kept as nominal, and hence the structural robustness is achieved for the time-varying internal model. It is shown that the proposed design has bounded ESO estimation errors, which can be further adjusted by modifying the corresponding control gains. To stabilize the ESO-based TV-IMPC, a time-varying stabilizer is developed by employing Linear Matrix Inequalities (LMIs). Extensive simulation and experimental studies are conducted on a direct-drive servo stage to validate the proposed robust TV-IMPC with ultra-precision tracking performance ($\sim 60$nm RMSE out of $\pm80$mm stroke).
format Preprint
id arxiv_https___arxiv_org_abs_2304_06451
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle A robust design of time-varying internal model principle-based control for ultra-precision tracking in a direct-drive servo stage
Cao, Yue
Zhang, Zhen
Systems and Control
This paper proposes a robust design of the time-varying internal model principle-based control (TV-IMPC) for tracking sophisticated references generated by linear time-varying (LTV) autonomous systems. The existing TV-IMPC design usually requires a complete knowledge of the plant I/O (input/output) model, leading to the lack of structural robustness. To tackle this issue, we, in the paper, design a gray-box extended state observer (ESO) to estimate and compensate unknown model uncertainties and external disturbances. By means of the ESO feedback, the plant model is kept as nominal, and hence the structural robustness is achieved for the time-varying internal model. It is shown that the proposed design has bounded ESO estimation errors, which can be further adjusted by modifying the corresponding control gains. To stabilize the ESO-based TV-IMPC, a time-varying stabilizer is developed by employing Linear Matrix Inequalities (LMIs). Extensive simulation and experimental studies are conducted on a direct-drive servo stage to validate the proposed robust TV-IMPC with ultra-precision tracking performance ($\sim 60$nm RMSE out of $\pm80$mm stroke).
title A robust design of time-varying internal model principle-based control for ultra-precision tracking in a direct-drive servo stage
topic Systems and Control
url https://arxiv.org/abs/2304.06451