Open AccessDesign of Adaptive Fuzzy Tracking Controller for Robot Navigation Using Particle Swarm Optimization
Author(s) -
Pallavi P. Lingawar,
Kapil Jajulwar
Publication year - 2015
Publication title -
journal of advance research in electrical and electronics engineering
Language(s) - English
Resource type - Journals
ISSN - 2208-2395
DOI - 10.53555/nneee.v2i1.235
Subject(s) - particle swarm optimization , controller (irrigation) , obstacle avoidance , grasp , computer science , fuzzy logic , control theory (sociology) , mobile robot , robot , trajectory , motion planning , tracking (education) , fuzzy control system , path (computing) , control engineering , artificial intelligence , engineering , control (management) , algorithm , psychology , pedagogy , programming language , physics , astronomy , agronomy , biology
This paper proposes a methodology for mobile robot navigation using the concept of Fuzzy Tracking Controller. The objective is toDesign adaptive fuzzy controller for x-direction and y-direction movement. Mostly it is used in Robot Localization, Obstacle avoidance, Mapping, Recognizing people and objects &Learn how to interact (e.g. grasp) with objects in Robot Navigation. It determines the safe path for the robot to transverse to its target location, while avoiding obstacles along the way. In this System it calculate the reference path and using Particle Swarm Optimization technique it will reduce Time required to reach the target. Fuzzy tracking controller will be used to direct the system to the destination which will help system to overcome the obstacles in the path and reach the accurate destination.