A Comparison Study of MIMO Water Wall Model with Linear, MFNN and ESN Models

作者：Moon Un Chul^*; Lim Jaewoo; Lee Kwang Y

来源：Journal of Electrical Engineering & Technology, 2016, 11(2): 265-273.

DOI：10.5370/JEET.2016.11.2.265

• Water wall model
• Power plant modelling
• Power plant identification
• Linearization
• Multilayer feed-forward neural network
• Echo state network

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.

• 出版日期2016-3