Title :
ANN based MARC controller design for an Industrial Chemical process
Author :
Devadhas, G. Glan ; Pushpakumar, S. ; Prabha, D. M Mary Synthia Regis
Author_Institution :
Dept. of EIE, N.I. Centre for Higher Educ., Kumaracoil, India
Abstract :
This work aims to develop an Artificial Neural Network based Model Reference Adaptive Control strategy for an Industrial Process. The inherent advantage of the Neural Network to adapt in real time together with the effectiveness of Model Reference Adaptive control is utilized in the control of Industrial Chemical process.
Keywords :
chemical reactors; industrial control; model reference adaptive control systems; neurocontrollers; ANN based MARC controller design; CSTR process; artificial neural network; continuous stirred-tank reactor; industrial chemical process; model reference adaptive control strategy; Adaptation models; Artificial neural networks; Equations; Mathematical model; ANN; Adaptive; CSTR process; MARC;
Conference_Titel :
Computing, Electronics and Electrical Technologies (ICCEET), 2012 International Conference on
Conference_Location :
Kumaracoil
Print_ISBN :
978-1-4673-0211-1
DOI :
10.1109/ICCEET.2012.6203862
