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MANIPULATION

Design Stable Robust Intelligent Nonlinear Controller for 6- DOF Serial Links Robot Manipulator

Sanaz Yadegar, Azura binti Che Soh

Year
2014
Citations
10
Access
Open access

Abstract

In this research parallel Proportional-Derivative (PD) fuzzy logic theory plus Integral part (I) is used to compensate the system dynamic uncertainty controller according to highly nonlinear control theory sliding mode controller. Sliding mode controller (SM C) is an important considerable robust nonlinear controller. In presence of uncertainties, this controller is used to control of highly nonlinear systems especially for multi degrees of freedom (DOF) serial links robot manipulator. In opposition, sliding mode controller is an effective controller but chattering phenomenon and nonlinear equivalent dy namic formulation in uncertain dynamic parameters are two significant drawbacks. To reduce these challenges, new stable intelligent controller is introduce.

Keywords

Control theory (sociology)Computer scienceNonlinear systemController (irrigation)Fuzzy logicSliding mode controlControl engineeringControl (management)Artificial intelligenceEngineering

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