Open AccessA Novel Grey-RSS Navigation System Design for Mobile Robots
Author(s) -
Albert W. L. Yao,
HsinTe Liao,
Shiou-De Chen
Publication year - 2012
Publication title -
international journal of automation and smart technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.148
H-Index - 10
ISSN - 2223-9766
DOI - 10.5875/ausmt.v2i2.137
Subject(s) - magnetic bearing , rotational speed , rotor (electric) , torque , control theory (sociology) , controller (irrigation) , magnet , bearing (navigation) , computer science , automotive engineering , control engineering , engineering , mechanical engineering , control (management) , physics , artificial intelligence , agronomy , biology , thermodynamics
[[abstract]]This study aims at developing a novel intelligent navigation system for mobile robots that eliminates cumulative errors by using a conventional optical encoder. The optical encoder for mobile robots was supplanted by an intelligent Grey-RSS navigation system (IGRNS) with a RFID system embedded with a RSS (Received Signal Strength) location estimation scheme and a Grey predictor for robot rotation angle prediction. The RFID system indicates the target with active RFID tag. The RSS location estimation scheme then calculates the possible route of robot. The Grey controller optimizes the traveling route quickly. The simulation result shows that the proposed IGRNS can reduce robot’s unnecessary rotation in order to locate the target. With IGRNS, mobile robot takes fewer steps to reach target quickly. The performance of IGRNS is better than the one of RSS navigation system