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    • ISSN: 2010-0221
    • Frequency: Bimonthly
    • DOI: 10.18178/IJCEA
    • Editor-in-Chief: Prof. Dr. Shen-Ming Chen
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Editor-in-chief
Prof. Dr. Shen-Ming Chen
National Taipei University of Technology, Taiwan
 

IJCEA 2011 Vol.2(2): 81-83 ISSN: 2010-0221
DOI: 10.7763/IJCEA.2011.V2.80

Application of Artificial Neural Network for Improved Relay Tuning of Controller

S.A. Misal, Dr. Vivek S Sathe, R. W. Gaikwad, and Dhirendra
Abstract—The first order plus time delay (FOPTD) model was assumed and the improved relay tuning method was applied for tuning with higher order of relay harmonics. A relay feedback test was conducted to obtain a symmetric relay response and ultimate gain. Then Ziegler-Nichols optimum controller parameter method was applied for estimation of optimum control parameters for the given system. The Artificial Neural Network was applied to the closed loop model. It was found that the predicted model response was close to that of actual one.

Index Terms—Relay Tuning, ANN.

S.A. Misal, R. W. Gaikwad and Dr. Dhirendra are with Department of Chemical Engineering, P.R.E.C. LONI (M.S.) India.
Dr. Vivek S Sathe is with Department of Chemical Engineering, Dr. Babasaheb Ambedkar Tech. University, Lonere. (M.S). India,(e-mail: misal_sunil@yahoo.co.in)

[PDF]

Cite: S.A. Misal, Dr. Vivek S Sathe, R. W. Gaikwad, and Dr. Dhirendra, "Application of Artificial Neural Network for Improved Relay Tuning of Controller," International Journal of Chemical Engineering and Applications vol. 2, no. 2, pp. 81-83, 2011.
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