DocumentCode :
583349
Title :
Path-tracking control of a laser guided vehicle using fuzzy inference system
Author :
Song, Hajun ; Kim, Jungmin ; Jung, Eunkook ; Lee, Junha ; Kim, Sungshin
Author_Institution :
Dept. of Electr. Eng., Pusan Nat. Univ., Busan, South Korea
fYear :
2012
fDate :
17-21 Oct. 2012
Firstpage :
1666
Lastpage :
1668
Abstract :
This paper presents fuzzy inference system to control path-tracking type laser guided vehicle (LGV). In most of the industries, many of LGVs are used because of the safety. LGV can make a virtual path because it can calculate its absolute position. LGV also calculates both the error distance (derailment value) from the virtual path and the error angle using the position of LGV. For accurate driving control of LGV, we proposed path-tracking control of a LGV using fuzzy inference system which considered both the error distance and the error angle. To verify the performance of proposed method, we designed and used the simulator for the experiments.
Keywords :
automatic guided vehicles; fuzzy control; fuzzy reasoning; industrial robots; robot kinematics; LGV; derailment value; driving control; error angle; error distance; fuzzy inference system; path-tracking control; path-tracking type laser guided vehicle; virtual path; Automation; Fuzzy logic; Industries; Input variables; Kinematics; Vehicles; Wheels; AGV; LGV; LNS; fuzzy control; path-tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control, Automation and Systems (ICCAS), 2012 12th International Conference on
Conference_Location :
JeJu Island
Print_ISBN :
978-1-4673-2247-8
Type :
conf
Filename :
6393108
Link To Document :
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