Intelligent coordination steering control of automated guided vehicle

In this paper, based on the neural network, fuzzy control and bang-bang control, an intelligent coordination control strategy for automated guided vehicle (AGV) steering system is presented. The dynamic steering model of distance error and orientation angle error for AGV is expressed. With least squ...

Full description

Saved in:
Bibliographic Details
Main Authors: Yue Dong Zhan, You Guang Guo, Jian Guo Zhu
Format: Conference Proceeding
Language:English
Subjects:
Artificial intelligence
Artificial neural networks
automated guided vehicle (AGV)
Autoregressive processes
Control systems
Fuzzy control
intelligent coordination control
Mathematical model
neural network control
Wheels
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In this paper, based on the neural network, fuzzy control and bang-bang control, an intelligent coordination control strategy for automated guided vehicle (AGV) steering system is presented. The dynamic steering model of distance error and orientation angle error for AGV is expressed. With least square method of system identification, the model of AGV is identified. Because a toy type of AGV is employed, its structure is simple, but AGV model parameters are variable according to the operating conditions and environment. In order to improve the dynamic performances of AGV, the intelligent coordinated control strategy is used to design the AGV controller in the AGV steering control system. Simulation and experimental results show the effectiveness of the proposed control strategy.
DOI:10.1109/ASEMD.2011.6145101