Design and implementation of a multi-axis precision movement machine based on MAS theory

Li MA; Linlin CI; Genyan GE

doi:10.1007/s11460-009-0003-4

PDF(151 KB)

Front. Electr. Electron. Eng. ›› 2009, Vol. 4 ›› Issue (1) : 72-77. DOI: 10.1007/s11460-009-0003-4

RESEARCH ARTICLE

Design and implementation of a multi-axis precision movement machine based on MAS theory

Author information +

History +

Abstract

A model construction of a multi-agent system (MAS) and the basic function of the agent are described. The precision control method using the multi-CPU of a programmable logic controller (PLC) is introduced, and a distributed method using multiple CPUs to control different motion machines is given. The test results indicate that in industrial control fields, the combination of using the credible PLC to control the motion machine and multi-CPU task distributing methods can solve multi-axis machine linkage and implication, providing a more credible method for multi-axis motion units.

Keywords

multi-agent system (MAS) / token / multi-CPU system

Cite this article

EndNote

Ris (Procite)

Bibtex

Download citation ▾

Li MA, Linlin CI, Genyan GE. Design and implementation of a multi-axis precision movement machine based on MAS theory. Front Elect Electr Eng Chin, 2009, 4(1): 72‒77 https://doi.org/10.1007/s11460-009-0003-4

References

Publishing order | Descend order by publishing year | Descend order by cited within

[1]	Nolfi S. Evolutionary robotics: exploiting the full power of self-organization. Connection Science, 1998, 10(3–4): 167–184 CrossRef Google scholar

[2]	Cao Y U, Fukunaga A S, Kahng A B. Cooperative mobile robotics: antecedents and directions. Autonomous Robots, 1997, 4(9): 7–27 CrossRef Google scholar

[3]	Fukuda T, Nakagawa S, Kawauchi Y, Buss M. Structure decision method for self organising robots based on cell structures-CEBOT. IEEE International Conference on Robotics and Automation, Scottsdale Arizona. 1989, 2: 695–700

[4]	Wooldridge M J, Jennings N R. Intelligent agents: theory and practice. The Knowledge Engineering Review, 1995, 10(2): 115–152

[5]	Rao A S, Georgeff M P. An abstract architecture for rational agents. In: Proceedings of the 3rd International Conference on Principles of Knowledge Representation and Reasoning (KR&R-92), 1992, 439–449

[6]	Rao A S, Georgeff M P. Modeling rational agents within a BDI-architecture. In: Proceedings of the 2nd International Conference on Principles of Knowledge Representation and Reasoning (KR&R-91), 1991, 473–484

[7]	Rao A S, Georgeff M P. Formal models and decision procedures for multi-agent systems. Technical Note 61, Australian AI Institute, Level 6, 171 La Trobe Street, Melbourne, Australia. 1995