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All Journal Bulletin of Electrical Engineering and Informatics Bulletin of Electrical Engineering and Informatics Bulletin of Electrical Engineering and Informatics
Sandeep Kumar Sunori
Graphic Era Hill University Bhimtal Campus
Computer Science & IT Electrical & Electronics Engineering Engineering

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ANN Controller Design for Lime Kiln Process Sandeep Kumar Sunori; Pradeep Kumar Juneja
Bulletin of Electrical Engineering and Informatics Vol 4, No 4: December 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1279.925 KB) | DOI: 10.11591/eei.v4i4.514

Abstract

The lime kiln is a very complex multivariable process with severe non linearities, high degree of coupling and frequent disturbances. In this paper a 2x2 lime kiln process with two manipulated variables namely the fuel gas flowrate, and the percent opening of the induced draft damper and two controlled variables namely front end temperature and back end temperature has been considered. After its decoupling, artificial neural network (ANN) controllers have been designed to control the front end temperature. The performance of ANN controllers have been compared with that of conventional controllers.
ANN Controller Design for Lime Kiln Process Sandeep Kumar Sunori; Pradeep Kumar Juneja
Bulletin of Electrical Engineering and Informatics Vol 4, No 4: December 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1279.925 KB) | DOI: 10.11591/eei.v4i4.514

Abstract

The lime kiln is a very complex multivariable process with severe non linearities, high degree of coupling and frequent disturbances. In this paper a 2x2 lime kiln process with two manipulated variables namely the fuel gas flowrate, and the percent opening of the induced draft damper and two controlled variables namely front end temperature and back end temperature has been considered. After its decoupling, artificial neural network (ANN) controllers have been designed to control the front end temperature. The performance of ANN controllers have been compared with that of conventional controllers.
ANN Controller Design for Lime Kiln Process Sandeep Kumar Sunori; Pradeep Kumar Juneja
Bulletin of Electrical Engineering and Informatics Vol 4, No 4: December 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1279.925 KB) | DOI: 10.11591/eei.v4i4.514

Abstract

The lime kiln is a very complex multivariable process with severe non linearities, high degree of coupling and frequent disturbances. In this paper a 2x2 lime kiln process with two manipulated variables namely the fuel gas flowrate, and the percent opening of the induced draft damper and two controlled variables namely front end temperature and back end temperature has been considered. After its decoupling, artificial neural network (ANN) controllers have been designed to control the front end temperature. The performance of ANN controllers have been compared with that of conventional controllers.
Co-Authors Pradeep Kumar Juneja