IAES International Journal of Robotics and Automation (IJRA)
Vol 2, No 4: December 2013

Design Sliding Mode Controller of with Parallel Fuzzy Inference System Compensator to Control of Robot Manipulator

Farzin Piltan (SanatkadeheSabze Pasargad Company)
Ali Hosainpour (SanatkadeheSabze Pasargad Company)
Sara Emamzadeh (SanatkadeheSabze Pasargad Company)
Iman Nazari (SanatkadeheSabze Pasargad Company)
Mina Mirzaie (SanatkadeheSabze Pasargad Company)



Article Info

Publish Date
01 Dec 2013

Abstract

Sliding mode controller (SMC) is a significant nonlinear controller under condition of partly uncertain dynamic parameters of system. This controller is used to control of highly nonlinear systems especially for robot manipulators, because this controller is a robust and stable. Conversely, pure sliding mode controller is used in many applications; it has two important drawbacks namely; chattering phenomenon, and nonlinear equivalent dynamic formulation in uncertain dynamic parameter. The nonlinear equivalent dynamic formulation problem and chattering phenomenon in uncertain system can be solved by using artificial intelligence theorem. However fuzzy logic controller is used to control complicated nonlinear dynamic systems, but it cannot guarantee stability and robustness.  In this research parallel fuzzy logic theory is used to compensate the system dynamic uncertainty.

Copyrights © 2013






Journal Info

Abbrev

IJRA

Publisher

Subject

Automotive Engineering Electrical & Electronics Engineering

Description

Robots are becoming part of people's everyday social lives and will increasingly become so. In future years, robots may become caretaker assistants for the elderly, or academic tutors for our children, or medical assistants, day care assistants, or psychological counselors. Robots may become our ...