Journal of Electrical Engineering and Technology

  • 제11권2호
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  • Pages.265-273
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  • 2016
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  • 1975-0102(pISSN)
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  • 2093-7423(eISSN)
대한전기학회 (The Korean Institute of Electrical Engineers)
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A Comparison Study of MIMO Water Wall Model with Linear, MFNN and ESN Models

  • Moon, Un-Chul (School of Electrical and Electronic Engineering, Chung-Ang University) ;
  • Lim, Jaewoo (School of Electrical and Electronic Engineering, Chung-Ang University) ;
  • Lee, Kwang Y. (Dept. of Electrical and Computer Engineering, Baylor University)
  • 투고 : 2015.04.25
  • 심사 : 2015.08.30
  • 발행 : 2016.03.01
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초록

A water wall system is one of the most important components of a boiler in a thermal power plant, and it is a nonlinear Multi-Input and Multi-Output (MIMO) system, with 6 inputs and 3 outputs. Three models are developed and comp for the controller design, including a linear model, a multilayer feed-forward neural network (MFNN) model and an Echo State Network (ESN) model. First, the linear model is developed by linearizing a given nonlinear model and is analyzed as a function of the operating point. Second, the MFNN and the ESN are developed by using training data from the nonlinear model. The three models are validated using Matlab with nonlinear input-output data that was not used during training.

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참고문헌

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피인용 문헌

  1. Practical dynamic matrix control for thermal power plant coordinated control vol.71, 2018, https://doi.org/10.1016/j.conengprac.2017.10.014