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All Journal International Journal of Electrical and Computer Engineering Bulletin of Electrical Engineering and Informatics Bulletin of Electrical Engineering and Informatics Bulletin of Electrical Engineering and Informatics Indonesian Journal of Electrical Engineering and Computer Science

Pradeep Kumar Juneja

Graphic Era University

Author-ID : 2374332

Computer Science & IT Electrical & Electronics Engineering Engineering

Published : 8 Documents Claim Missing Document

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Title

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

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.

Model Predictive Control System Analysis for Sugarcane Crushing Mill Process Sandeep Kumar Sunori; Pradeep Kumar Juneja; Anamika Bhatia Jain
Bulletin of Electrical Engineering and Informatics Vol 4, No 3: September 2015
Publisher : Institute of Advanced Engineering and Science

MPC is a computer based technique that requires the process model to anticipate the future outputs of that process. An optimal control action is taken by MPC based on this prediction. The MPC is so popular since its control performance has been reported to be best among other conventional techniques to control the multivariable dynamical plants with various inputs and outputs constraints. In this paper the performance of an MPC controller on a single stage of milling train of sugar mill is analyzed. A linear model of the plant is taken with flap position and turbine speed set point as manipulated variables and mill torque and buffer chute height as controlled variables. The set point tracking responses are compared for constrained and unconstrained cases. The effect of presence of unmeasured disturbance also is investigated.

Co-Authors Anamika Bhatia Jain Anamika Bhatia Jain Mayank Chaturvedi Pankaj Aswal Puspender Singh Sandeep Kumar Sunori Sandeep Kumar Sunori

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Journal : Bulletin of Electrical Engineering and Informatics