Intelligent AGV Control of Autonomous Decentralized FMS by Oblivion and Memory

Abstract:

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This paper describes a method to control Autonomous decentralized Flexible Manufacturing System (AD-FMS) by using a memory to determine a priority ranking for competing hypotheses. The aim is to increase the reasoning efficiency of a system the author calls reasoning to anticipate the future (RAF) which controls automatic guided vehicles (AGVs) in AD-FMSs. The system includes memory data of past production conditions and AGV actions. The system was applied to an AD-FMS that was constructed on a computer. The results showed that, compared with conventional reasoning, this reasoning system reduced the number of hypothesis replacements until a true hypothesis was reached. 

Info:

Periodical:

Key Engineering Materials (Volumes 447-448)

Edited by:

Jianhong Zhao, Masanori Kunieda, Guilin Yang and Xue-Ming Yuan

Pages:

326-330

DOI:

10.4028/www.scientific.net/KEM.447-448.326

Citation:

H. Yamamoto and T. Yamada, "Intelligent AGV Control of Autonomous Decentralized FMS by Oblivion and Memory", Key Engineering Materials, Vols. 447-448, pp. 326-330, 2010

Online since:

September 2010

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Price:

$35.00

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