Home /Research /Design Adaptive Fuzzy Inference Sliding Mode Algorithm: Applied to Robot Arm
MANIPULATION

Design Adaptive Fuzzy Inference Sliding Mode Algorithm: Applied to Robot Arm

Farzin Piltan, Nasri Sulaiman, Sadeq Allahdadi, Mohammadali Dialame

Year
2011
Citations
34

Abstract

The developed control methodology can be used to build more efficient intelligent and precision mechatronic systems. Three degrees of freedom robot arm is controlled by adaptive sliding mode fuzzy algorithm fuzzy sliding mode controller (SMFAFSMC). This plant has 3 revolute joints allowing the corresponding links to move horizontally. Control of robotic manipulator is very important in field of robotic, because robotic manipulators are Multi-Input Multi-Output (MIMO), nonlinear and most of dynamic parameters are uncertainty. Design strong mathematical tools used in new control methodologies to

Keywords

Control theory (sociology)Sliding mode controlController (irrigation)Fuzzy logicNonlinear systemRevolute jointRobust controlControl engineeringEngineeringFuzzy control system

Related papers

Browse all MANIPULATION papers