By Topic

Development of a neuron chip based smart embedded fuzzy logic controller with intelligent control strategies 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

3 Author(s)
Raji, R. ; Precision Eng. & Instrum. Lab., Indian Inst. of Technol., Madras, India ; Srinivasa, Y.G. ; Kistner, A.

A high performance combinative control strategy is presented for various processes. In combinative control, self-tuning fuzzy PID complements PID acting in the background and applied to many second order, marginally stable systems with dead time and open loop unstable systems. The futuristic real-time control s/w developed in Neuron C is embedded in a network processor, a neuron chip based I/O module. As an application the resulting smart fuzzy controller is applied to averaging level control in process plants. The proposed combinative control strategy shows high control performances, which are more satisfactory than other conventional control techniques. Intelligent fuzzy algorithms and advanced control modes make the smart embedded controller ready to meet the needs of various processes

Published in:

Fuzzy Systems, 2001. The 10th IEEE International Conference on  (Volume:3 )

Date of Conference:

2001