Abstract
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.
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Original Russian Text © Yu.I. Eremenko, D.A. Poleshchenko, A.I. Glushchenko, A.M. Litvinenko, A.A. Ryndin, E.S. Podval’nyi, 2013, published in Sistemy Upravleniya i Informatsionnye Tekhnologii, 2013, No. 3, pp. 137–141.
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Eremenko, Y.I., Poleshchenko, D.A., Glushchenko, A.I. et al. On estimating the efficiency of a neural optimizer for the parameters of a PID controller for heating objects control. Autom Remote Control 75, 1137–1144 (2014). https://doi.org/10.1134/S0005117914060137
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DOI: https://doi.org/10.1134/S0005117914060137