DocumentCode
2728025
Title
Integrated Supervision and Manipulation for Heavy-duty Engineering Vehicle Based on MAS
Author
Yuan, Haibin ; Yuan, Haiwen ; Li, Xingshan
Author_Institution
Sch. of Autom. Sci. & Electr. Eng., Beihang Univ., Beijing
Volume
1
fYear
0
fDate
0-0 0
Firstpage
2604
Lastpage
2608
Abstract
Multi-agent system (MAS) framework model is proposed for heavy-duty vehicle application design and development. The aim is to combine and supervise all controllable subsystems affecting vehicle dynamic response in a distributed environment whilst maintaining a modular approach to the overall system design. Field bus control network is deployed as agent platform topology. The hierarchical framework has three layers and based on engineering application viewpoint. Top layer includes control agent (CA), service agent (SA) and management agent (MA), middle layer consists of agents from top layer and bottom layer, middle layer has the ability to accomplish specific tasks. Bottom layer includes node agent (NA) defined by physical field devices and modules. Agent data model and task collaboration is presented using comprehensive evaluation method. The methodology is applied for integrated supervision and manipulation framework for the developed engineering vehicle. The proposed methodology has reconfiguration ability in engineering practice
Keywords
automobile industry; control engineering computing; multi-agent systems; vehicles; agent data model; artificial intelligence; comprehensive evaluation; computer control; control agent; controllable subsystems; heavy-duty engineering vehicle; heavy-duty vehicle application design; heavy-duty vehicle application development; integrated manipulation; integrated supervision; management agent; manipulation framework; middle layer consists; multiagent system; node agent; service agent; task collaboration; vehicle dynamic response; Application software; Artificial intelligence; Automatic control; Automotive engineering; Control systems; Design engineering; Intelligent agent; Intelligent networks; Intelligent vehicles; Vehicle dynamics; artificial intelligence; computer control; multi-agent system; vehicle;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location
Dalian
Print_ISBN
1-4244-0332-4
Type
conf
DOI
10.1109/WCICA.2006.1712833
Filename
1712833
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