Title :
A Comparison of Control Techniques for Robust Docking Maneuvers of an AGV
Author :
Villagra, Jorge ; Herrero-Pérez, David
Author_Institution :
Center for Autom. & Robot., Madrid, Spain
fDate :
7/1/2012 12:00:00 AM
Abstract :
This work addresses the path tracking problem of industrial guidance systems used by automated guided vehicles (AGVs) in load transfer operations. We focus on the control law that permits to AGVs to operate tracking a predefined route with industrial grade of accuracy, repeatability and reliability. One of the main issues of this problem is related to the important weight variation of AGVs when transporting a load, which induces slipping and skidding effects. Besides, localization error of the guidance system should be taken into account because position estimation is typically performed at a low sample rate. Other key point is that control law oscillations can knock down the load, which gives rise to safety and performance problems. Three control techniques - fuzzy, vector pursuit and flatness-based control - are compared in order to evaluate how they can deal with these problems and satisfy the robustness requirements of such an industrial application.
Keywords :
aircraft landing guidance; automatic guided vehicles; fuzzy control; industrial control; industrial robots; mobile robots; oscillations; path planning; position control; reliability; robust control; space vehicles; telerobotics; AGV; automated guided vehicles; control law; control law oscillations; fĺatness-based control; fuzzy control techniques; industrial accuracy grade; industrial application; industrial guidance systems; industrial reliability grade; industrial repeatability grade; load transfer operations; load transportation; localization error; path tracking problem; performance problems; position estimation; robust docking maneuvers; safety problems; skidding effects; slipping effects; vector pursuit control techniques; Fasteners; Navigation; Robots; Robustness; Vehicle dynamics; Vehicles; Wheels; Automated guided vehicles (AGVs); flatness control; fuzzy control; nonlinear robust control; vector pursuit;
Journal_Title :
Control Systems Technology, IEEE Transactions on
DOI :
10.1109/TCST.2011.2159794