On estimating the efficiency of a neural optimizer for the parameters of a PID controller for heating objects control

In this work, we consider the problems of estimating the energy efficiency of applying a neural optimizer to tune a PID controller in controlling a laboratory heating furnace for cast bars. We estimate the electric power savings achieved when running the technological process with the optimizer as c...

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Bibliographic Details
Published in:Automation and remote control 2014-06, Vol.75 (6), p.1137-1144
Main Authors: Eremenko, Yu. I., Poleshchenko, D. A., Glushchenko, A. I., Litvinenko, A. M., Ryndin, A. A., Podval’nyi, E. S.
Format: Article
Language:English
Subjects:
Bars
CAE) and Design
Calculus of Variations and Optimal Control
Optimization
Computer-Aided Engineering (CAD
Control
Control Systems and Information Technologies
Estimates
Estimating
Heating
Heating furnaces
Mathematics
Mathematics and Statistics
Mechanical Engineering
Mechatronics
Proportional integral derivative
Remote control
Robotics
Running
Systems Theory
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Description
Summary:In this work, we consider the problems of estimating the energy efficiency of applying a neural optimizer to tune a PID controller in controlling a laboratory heating furnace for cast bars. We estimate the electric power savings achieved when running the technological process with the optimizer as compared to a regular PID controller.
ISSN:0005-1179
1608-3032
DOI:10.1134/S0005117914060137