Parallel Multi-Extended State Observers based {ADRC} with Application to High-Speed Precision Motion Stage

Fuente: arXiv
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Autori principali: Tang, Guojie, Xue, Wenchao, Peng, Hao, Zhao, Yanlong, Yang, Zhijun
Natura: Preprint
Pubblicazione: 2023
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author Tang, Guojie
Xue, Wenchao
Peng, Hao
Zhao, Yanlong
Yang, Zhijun
author_facet Tang, Guojie
Xue, Wenchao
Peng, Hao
Zhao, Yanlong
Yang, Zhijun
contents In this paper, the parallel multi-extended state observers (ESOs) based active disturbance rejection control approach is proposed to achieve desired tracking performance by automatically selecting the estimation values leading to the least tracking error. First, the relationship between the estimation error of ESO and the tracking error of output is quantitatively studied for single ESO with general order. In particular, the algorithm for calculating the tracking error caused by single ESO's estimation error is constructed. Moreover, by timely evaluating the least tracking error caused by different ESOs, a novel switching ADRC approach with parallel multi-ESOs is proposed. In addition, the stability of the algorithm is rigorously proved. Furthermore, the proposed ADRC is applied to the high-speed precision motion stage which has large nonlinear uncertainties and elastic deformation disturbances near the dead zone of friction. The experimental results show that the parallel multi-ESOs based ADRC has higher tracking performance than the traditional single ESO based ADRC.
format Preprint
id arxiv_https___arxiv_org_abs_2301_07269
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Parallel Multi-Extended State Observers based {ADRC} with Application to High-Speed Precision Motion Stage
Tang, Guojie
Xue, Wenchao
Peng, Hao
Zhao, Yanlong
Yang, Zhijun
Systems and Control
Optimization and Control
In this paper, the parallel multi-extended state observers (ESOs) based active disturbance rejection control approach is proposed to achieve desired tracking performance by automatically selecting the estimation values leading to the least tracking error. First, the relationship between the estimation error of ESO and the tracking error of output is quantitatively studied for single ESO with general order. In particular, the algorithm for calculating the tracking error caused by single ESO's estimation error is constructed. Moreover, by timely evaluating the least tracking error caused by different ESOs, a novel switching ADRC approach with parallel multi-ESOs is proposed. In addition, the stability of the algorithm is rigorously proved. Furthermore, the proposed ADRC is applied to the high-speed precision motion stage which has large nonlinear uncertainties and elastic deformation disturbances near the dead zone of friction. The experimental results show that the parallel multi-ESOs based ADRC has higher tracking performance than the traditional single ESO based ADRC.
title Parallel Multi-Extended State Observers based {ADRC} with Application to High-Speed Precision Motion Stage
topic Systems and Control
Optimization and Control
url https://arxiv.org/abs/2301.07269