Regular Papers
International Journal of Control, Automation and Systems 2010; 8(6): 1241-1249
Published online January 8, 2011
https://doi.org/10.1007/s12555-010-0609-6
© The International Journal of Control, Automation, and Systems
Dynamic Simulation of Vapor-Compression Cycle Using Neural Networks
In this paper, the thermodynamic modeling of a vapor-compression cycle, based on a neural network approach is presented. A generalized radial basis function is used for the network, which takes previous control inputs and previous states as the network input and generates the predicted current state as the network output. The trained network is validated by non-trained data and shows all the process characteristics of a vapor-compression cycle for an air-to-water heat pump to a satisfactory degree.
Keywords Air-to-water heat pump, dynamic simulation, neural network, vapor-compression cycle.
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Regular Papers
International Journal of Control, Automation and Systems 2010; 8(6): 1241-1249
Published online December 1, 2010 https://doi.org/10.1007/s12555-010-0609-6
Copyright © The International Journal of Control, Automation, and Systems.
Dynamic Simulation of Vapor-Compression Cycle Using Neural Networks
Young-Jin Yoon and Man Hyung Lee*
Pusan National University, Korea
Abstract
In this paper, the thermodynamic modeling of a vapor-compression cycle, based on a neural network approach is presented. A generalized radial basis function is used for the network, which takes previous control inputs and previous states as the network input and generates the predicted current state as the network output. The trained network is validated by non-trained data and shows all the process characteristics of a vapor-compression cycle for an air-to-water heat pump to a satisfactory degree.
Keywords: Air-to-water heat pump, dynamic simulation, neural network, vapor-compression cycle.
Vol. 23, No. 3, pp. 683~972
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