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Model‐free output feedback discrete sliding mode control with disturbance compensation for precision motion systems
Author(s) -
Li Min,
Tan Shuhua,
Xiong Jiaxi,
Gan Jinqiang,
Zhang Xinxin
Publication year - 2020
Publication title -
iet control theory and applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.059
H-Index - 108
eISSN - 1751-8652
pISSN - 1751-8644
DOI - 10.1049/iet-cta.2019.1184
Subject(s) - control theory (sociology) , parametric statistics , robustness (evolution) , state observer , compensation (psychology) , sliding mode control , computer science , disturbance (geology) , control engineering , robust control , mode (computer interface) , observer (physics) , control system , engineering , control (management) , mathematics , nonlinear system , artificial intelligence , psychoanalysis , biology , operating system , psychology , paleontology , quantum mechanics , physics , chemistry , biochemistry , statistics , electrical engineering , gene
This study proposes a novel model‐free output feedback discrete sliding mode control (OFDSMC) with disturbance compensation to achieve high performance for precision motion systems encountering model uncertainties and disturbances. Traditional discrete sliding mode control design requires model and/or state information. In this study, OFDSMC with disturbance compensation is first developed by using a parametric input–output model such that no system states are needed. The essential four control terms of OFDSMC with disturbance compensation is revealed. Then a data‐driven control method is introduced into OFDSMC to eliminate the need for the parametric model. The proposed model‐free OFDSMC facilitates a rapid implementation without either a parameter model or a state observer, and achieves good robustness against model uncertainties and disturbances. Finally, three simulation cases are presented to illustrate the effectiveness and enhanced performance of the proposed approach.

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