Abstract
In this paper, a steering control of automatic guided vehicles (AGVs) by a successive learning neural network is proposed. In the proposed control strategy, the learning procedure of the neural network is carried out in some trials. Then, the excellent steering control strategy can be established and the exellent results of the AGV travelling are obtained. At the first step, the teaching signal based on the PI control is proposed. The experiment in the steering control of the right and left turning is put into practice. Then, it is clarified that the excellent learning and the steering control of AGVs is realized by adjusting the coefficients in the teaching signal according to the degree of learning. The proposed strategy using the successive learning neural network is proved to be of much practical use for the steering control of AGVs.
| Original language | English |
|---|---|
| Pages (from-to) | 142-147 |
| Number of pages | 6 |
| Journal | IEEJ Transactions on Industry Applications |
| Volume | 115 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 1995 |
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ASJC Scopus subject areas
- Industrial and Manufacturing Engineering
- Electrical and Electronic Engineering
Cite this
A steering control of automatic guided vehicles by successive learning neural network. / Funabiki, Shigeyuki; Mino, Michio.
In: IEEJ Transactions on Industry Applications, Vol. 115, No. 2, 1995, p. 142-147.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - A steering control of automatic guided vehicles by successive learning neural network
AU - Funabiki, Shigeyuki
AU - Mino, Michio
PY - 1995
Y1 - 1995
N2 - In this paper, a steering control of automatic guided vehicles (AGVs) by a successive learning neural network is proposed. In the proposed control strategy, the learning procedure of the neural network is carried out in some trials. Then, the excellent steering control strategy can be established and the exellent results of the AGV travelling are obtained. At the first step, the teaching signal based on the PI control is proposed. The experiment in the steering control of the right and left turning is put into practice. Then, it is clarified that the excellent learning and the steering control of AGVs is realized by adjusting the coefficients in the teaching signal according to the degree of learning. The proposed strategy using the successive learning neural network is proved to be of much practical use for the steering control of AGVs.
AB - In this paper, a steering control of automatic guided vehicles (AGVs) by a successive learning neural network is proposed. In the proposed control strategy, the learning procedure of the neural network is carried out in some trials. Then, the excellent steering control strategy can be established and the exellent results of the AGV travelling are obtained. At the first step, the teaching signal based on the PI control is proposed. The experiment in the steering control of the right and left turning is put into practice. Then, it is clarified that the excellent learning and the steering control of AGVs is realized by adjusting the coefficients in the teaching signal according to the degree of learning. The proposed strategy using the successive learning neural network is proved to be of much practical use for the steering control of AGVs.
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UR - http://www.scopus.com/inward/citedby.url?scp=85007725993&partnerID=8YFLogxK
U2 - 10.1541/ieejias.115.142
DO - 10.1541/ieejias.115.142
M3 - Article
VL - 115
SP - 142
EP - 147
JO - IEEJ Transactions on Industry Applications
JF - IEEJ Transactions on Industry Applications
SN - 0913-6339
IS - 2
ER -