By Topic

Parallel processing computer architectures for process control

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Venkatesan, G. ; Dept. of Electr. & Comput. Syst. Eng., Monash Univ., Melbourne, Vic., Australia ; Abachi, H.

Modern, large-scale, high-speed process control automation is quite complex in nature. Continuous manufacturing processes currently in use require advanced computer technologies such as simultaneous parallel processing architecture for synchronous process operations that take place independent of each other. In order to optimise the performance of a process control system measured through its output variance, suitably structured robust computing structures are necessary for a multi-input/output process control. This paper describes: (1) a multi-ported-memory, star-ring parallel processing computer architecture for the process control of multiple inputs/outputs; and (2) a suitable parallel processing architecture for optimising the performance of an interconnected process control system. Both the architectures use a feedback control algorithm for multi-input/output process control by measuring its performance through its output product quality and for optimising the performance of the inter-connected process control system by using the product quality output as a performance measure.

Published in:

System Theory, 2002. Proceedings of the Thirty-Fourth Southeastern Symposium on

Date of Conference: