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Transparent fuzzy bilateral control of a nonlinear teleoperation system through state convergence

Umar Farooq, Jason Gu, M.E. El-Hawary, Muhammad Usman Asad, Faiqa Rafiq

Year
2016
Citations
5

Abstract

This paper presents the design of a transparent fuzzy bilateral controller for a nonlinear teleoperation system which has been approximated by a class of Takagi-Sugeno (TS) fuzzy models. After the approximation stage, TS fuzzy control laws are introduced for the master and slave robotic systems. These laws further help in developing the design conditions using the state convergence methodology. The control gains are then found as a solution of these design conditions for achieving the bilateral teleoperation. MATLAB simulations on one degree-of-freedom (DoF) nonlinear teleoperation system validate the proposed fuzzy bilateral control scheme.

Keywords

TeleoperationControl theory (sociology)Fuzzy control systemFuzzy logicNonlinear systemConvergence (economics)Control engineeringController (irrigation)Computer scienceEngineering

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