TY - JOUR
T1 - Modeling and a cross-coupling compensation control methodology of a large range 3-DOF micropositioner with low parasitic motions
AU - Al-Jodah, Ammar
AU - Shirinzadeh, Bijan
AU - Ghafarian, Mohammadali
AU - Das, Tilok Kumar
AU - Pinskier, Joshua
AU - Tian, Yanling
AU - Zhang, Dawei
N1 - Funding Information:
This work is supported by Australian Research Council (ARC) Linkage Infrastructure, Equipment and Facilities (LIEF) grant, and ARC Discovery grant.
Publisher Copyright:
© 2021 Elsevier Ltd
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2021/8
Y1 - 2021/8
N2 - The rapid developments in precision applications have increased the demand for high accuracy large range planar 3-DOF micropositioning mechanisms. However, the parasitic motions and cross-axis coupling in these mechanisms pose real challenges for their resolution and accuracy. In this paper, the parasitic motions in a large range 3-DOF XYΘ was investigated and reduced by utilizing constrained prismatic joints. Moreover, analytical modeling was studied and systematically derived to enable the design of a model-based control methodology. Furthermore, a backstepping sliding mode control method combined with an adaptive fuzzy neural network disturbance observer was proposed to control the mechanism and alleviate the cross-axis coupling effects. The control system stability was proved using the Lyapunov approach, and the performance was verified experimentally through several trajectory tracking tests. The results showed the effectiveness of the proposed control technique to achieve high tracking performance, and overcome the cross-axis coupling issues.
AB - The rapid developments in precision applications have increased the demand for high accuracy large range planar 3-DOF micropositioning mechanisms. However, the parasitic motions and cross-axis coupling in these mechanisms pose real challenges for their resolution and accuracy. In this paper, the parasitic motions in a large range 3-DOF XYΘ was investigated and reduced by utilizing constrained prismatic joints. Moreover, analytical modeling was studied and systematically derived to enable the design of a model-based control methodology. Furthermore, a backstepping sliding mode control method combined with an adaptive fuzzy neural network disturbance observer was proposed to control the mechanism and alleviate the cross-axis coupling effects. The control system stability was proved using the Lyapunov approach, and the performance was verified experimentally through several trajectory tracking tests. The results showed the effectiveness of the proposed control technique to achieve high tracking performance, and overcome the cross-axis coupling issues.
KW - 3-DOF micropositioner
KW - Cross-axis coupling compensation
KW - Kinetostatic and dynamics modeling
KW - Parasitic motions reduction
UR - https://www.scopus.com/pages/publications/85103090626
U2 - 10.1016/j.mechmachtheory.2021.104334
DO - 10.1016/j.mechmachtheory.2021.104334
M3 - Article
AN - SCOPUS:85103090626
SN - 0094-114X
VL - 162
JO - Mechanism and Machine Theory
JF - Mechanism and Machine Theory
M1 - 104334
ER -