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Bioreactor profile control by a nonlinear auto regressive moving average neuro and two degree of freedom PID controllers

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Main Authors: Ubaid, Imtiaz, Jamuar, Sudhanshu Shekhar, Prof. Dr., Sahu, Jaya Narayan, Ganesan, Poo Balan
Other Authors: ssjamuar@unimap.edu.my
Format: Article
Language:English
Published: Elsevier Ltd. 2015
Subjects:
Bioreactor profile
Inverse neural network
NARMA neuro controller
Process control
Online Access:http://dspace.unimap.edu.my:80/xmlui/handle/123456789/39534
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spelling my.unimap-395342015-04-17T14:43:10Z Bioreactor profile control by a nonlinear auto regressive moving average neuro and two degree of freedom PID controllers Ubaid, Imtiaz Jamuar, Sudhanshu Shekhar, Prof. Dr. Sahu, Jaya Narayan Ganesan, Poo Balan ssjamuar@unimap.edu.my Bioreactor profile Inverse neural network NARMA neuro controller Process control Link to publisher's homepage at http://www.elsevier.com/ This paper presents the use of nonlinear auto regressive moving average (NARMA) neuro controller for temperature control and two degree of freedom PID (2DOF-PID) for pH and dissolved oxygen (DO) of a biochemical reactor in comparison with the industry standard anti-windup PID (AWU-PID) controllers. The process model of yeast fermentation described in terms of temperature, pH and dissolved oxygen has been used in this study. Nonlinear auto regressive moving average (NARMA) neuro controller used for temperature control has been trained by Levenberg-Marquardt training algorithm. The 2DOF-PID controllers used for pH and dissolved oxygen have been tuned by MATLAB's auto tune feature along with manual tuning. Random training data with input varying from 0 to 100 l/h have been obtained by using NARMA graphical interface. The data samples used for training, validation and testing are 20,000, 10,000 and 10,000 respectively. Random profiles have been used for simulation. The NARMA neuro controller and the 2DOF-PID controllers have shown improvement in rise time, residual error and overshoot. The proposed controllers have been implemented on TMS320 Digital Signal Processing board using code composure studio. Arduino Mega board has been used for input/output interface. 2015-04-17T14:43:10Z 2015-04-17T14:43:10Z 2014-11 Article Journal of Process Control, vol. 24(11), 2014, pages 1761-1777 0959-1524 http://www.sciencedirect.com/science/article/pii/S0959152414002510 http://dspace.unimap.edu.my:80/xmlui/handle/123456789/39534 en Elsevier Ltd.
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Bioreactor profile
Inverse neural network
NARMA neuro controller
Process control
spellingShingle Bioreactor profile
Inverse neural network
NARMA neuro controller
Process control
Ubaid, Imtiaz
Jamuar, Sudhanshu Shekhar, Prof. Dr.
Sahu, Jaya Narayan
Ganesan, Poo Balan
Bioreactor profile control by a nonlinear auto regressive moving average neuro and two degree of freedom PID controllers
description Link to publisher's homepage at http://www.elsevier.com/
author2 ssjamuar@unimap.edu.my
author_facet ssjamuar@unimap.edu.my
Ubaid, Imtiaz
Jamuar, Sudhanshu Shekhar, Prof. Dr.
Sahu, Jaya Narayan
Ganesan, Poo Balan
format Article
author Ubaid, Imtiaz
Jamuar, Sudhanshu Shekhar, Prof. Dr.
Sahu, Jaya Narayan
Ganesan, Poo Balan
author_sort Ubaid, Imtiaz
title Bioreactor profile control by a nonlinear auto regressive moving average neuro and two degree of freedom PID controllers
title_short Bioreactor profile control by a nonlinear auto regressive moving average neuro and two degree of freedom PID controllers
title_full Bioreactor profile control by a nonlinear auto regressive moving average neuro and two degree of freedom PID controllers
title_fullStr Bioreactor profile control by a nonlinear auto regressive moving average neuro and two degree of freedom PID controllers
title_full_unstemmed Bioreactor profile control by a nonlinear auto regressive moving average neuro and two degree of freedom PID controllers
title_sort bioreactor profile control by a nonlinear auto regressive moving average neuro and two degree of freedom pid controllers
publisher Elsevier Ltd.
publishDate 2015
url http://dspace.unimap.edu.my:80/xmlui/handle/123456789/39534
_version_ 1643799097901056000
score 13.214268

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