Model-based tracking for agent-based control systems in the case of sensor failures

The study on artificial intelligence (AI) methods for tuning of particle accelerators has been reported in many literatures. This paper presents tuning method for agent-based control systems of transport lines in the case of sensor/actuator failures. The method uses model-based tracking concept to r...

Full description

Saved in:
Bibliographic Details
Published in:International journal of automation and computing 2012-12, Vol.9 (6), p.561-569
Main Authors: Yadav, R. P., Varde, P. V., Nataraj, P. S. V., Fatnani, P., Navathe, C. P.
Format: Article
Language:English
Subjects:
CAE) and Design
Computer Applications
Computer-Aided Engineering (CAD
Control
Engineering
Mechatronics
Regular Paper
Robotics
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The study on artificial intelligence (AI) methods for tuning of particle accelerators has been reported in many literatures. This paper presents tuning method for agent-based control systems of transport lines in the case of sensor/actuator failures. The method uses model-based tracking concept to relax the demand on sensor data. The condition for successful operation of the stated scheme is derived, and the concept is demonstrated through simulation by applying it to the model of microtron, transport line-1 and booster of indus accelerator. The results show that this approach is very effective in transport line control during sensor/actuator failures.
ISSN:1476-8186
1751-8520
DOI:10.1007/s11633-012-0680-y