A Sliding Mode Controller Using an LS-SVM Model for a Water-Hydraulic Artificial Rubber Muscle
Author(s) -
Takahiro Kosaki,
Yuta Kawahara,
Shigang Li
Publication year - 2020
Publication title -
journal of robotics and mechatronics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.257
H-Index - 19
eISSN - 1883-8049
pISSN - 0915-3942
DOI - 10.20965/jrm.2020.p0903
Subject(s) - control theory (sociology) , artificial muscle , support vector machine , controller (irrigation) , natural rubber , nonlinear system , computer science , least squares support vector machine , sliding mode control , mode (computer interface) , artificial intelligence , control engineering , engineering , actuator , materials science , control (management) , composite material , physics , quantum mechanics , agronomy , biology , operating system
We describe a sliding mode controller design for an artificial rubber muscle driven by tap-water pressure. The hysteretic characteristics of this water-hydraulic artificial rubber muscle (WARM) often deteriorate its control accuracy. To cope with this complicated hysteresis, a modeling approach based on the least squares support vector machine (LS-SVM) with nonlinear kernel functions is first applied to a WARM. By employing this LS-SVM-based WARM model, a sliding mode controller is then derived for the WARM drive system. We verify the control performance of the proposed controller and compare its tracking accuracy with our previously developed controller through experiments.
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