Open AccessAdaptive observer‐based integral sliding mode control of a piezoelectric nano‐manipulator
Author(s) -
Zhang Yangming,
Yan Peng
Publication year - 2019
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.2018.6192
Subject(s) - control theory (sociology) , robustness (evolution) , integral sliding mode , sliding mode control , computer science , robust control , observer (physics) , adaptive control , hysteresis , control engineering , nonlinear system , engineering , control system , artificial intelligence , control (management) , physics , quantum mechanics , electrical engineering , biochemistry , chemistry , gene
In this study, the authors propose an adaptive observer‐based integral sliding mode control scheme to support ultra‐precision tracking of a multi‐axis piezoelectric nano‐manipulator. By introducing a modified Dahl model capable of approximating the hysteresis phenomenon, an adaptive observer is developed to compensate the impact of hysteresis, where an adaptive observer‐based integral sliding mode control architecture is further proposed with good robustness against model uncertainties. The gain of the sliding mode controller is adaptively estimated for the purposes of fast convergence, chattering alleviation and controller robustness. Finally, the proposed algorithm is implemented in real time on a PZT‐actuated nano‐manipulating stage, where good robustness and excellent tracking performance are successfully demonstrated, which outperform representative algorithms in the literature.