DocumentCode :
1474060
Title :
Three-Degree-of-Freedom Dynamic Model-Based Intelligent Nonsingular Terminal Sliding Mode Control for a Gantry Position Stage
Author :
Lin, Faa-Jeng ; Chou, Po-Huan ; Chen, Chin-Sheng ; Lin, Yu-Sheng
Author_Institution :
Dept. of Electr. Eng., Nat. Central Univ., Chungli, Taiwan
Volume :
20
Issue :
5
fYear :
2012
Firstpage :
971
Lastpage :
985
Abstract :
A three-degree-of-freedom (3-DOF) dynamic model-based intelligent nonsingular terminal sliding mode control (INTSMC) system is proposed in this study for the precision contours tracking of a gantry position stage. A Lagrangian equation-based 3-DOF dynamic model for the gantry position stage is derived first. Then, to minimize the synchronous error and tracking error in the precision contours tracking, the 3-DOF dynamic model-based INTSMC system is proposed. In this approach, a nonsingular terminal sliding mode control is designed for the gantry position stage to achieve finite time tracking control. Moreover, to increase the robustness and to improve the control performance, an interval type-2 recurrent fuzzy neural network, and asymmetric membership function, which combines the advantages of interval type-2 fuzzy logic system, recurrent neural network, and asymmetric membership function, is developed as an estimator to approximate a lumped uncertainty. Finally, some experimental results of the gantry position stage for optical inspection application are obtained to show the validity of the proposed control approach.
Keywords :
control system synthesis; cranes; fuzzy control; fuzzy logic; fuzzy neural nets; fuzzy set theory; neurocontrollers; performance index; position control; recurrent neural nets; robust control; tracking; uncertain systems; variable structure systems; 3-degree-of-freedom dynamic model-based intelligent nonsingular terminal sliding mode control; INTSMC system; Lagrangian equation; asymmetric membership function; control design; control performance; finite time tracking control; gantry position stage; interval type-2 fuzzy logic system; interval type-2 recurrent fuzzy neural network; lumped uncertainty approximation; optical inspection application; precision contour tracking; robustness; synchronous error minimization; tracking error minimization; Equations; Fuzzy control; Fuzzy neural networks; Inspection; Mathematical model; Synchronous motors; Uncertainty; Asymmetric membership function (AMF); Lyapunov stability; gantry position stage; interval type-2 fuzzy logic system; neural network; three-degree-of-freedom (3-DOF) dynamic model;
fLanguage :
English
Journal_Title :
Fuzzy Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
1063-6706
Type :
jour
DOI :
10.1109/TFUZZ.2012.2191412
Filename :
6172224
Link To Document :
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