Steam turbine stress control using NARX neural network

Steam Turbine Steam System

Neural Network-based Narx Models in Non-linear Adaptive Control

The applicability of approximate NARX models of non-linear dynamic systems is discussed. The models are obtained by a new version of Fourier analysis-based neural network also described in the paper. This constitutes a reformulation of a known method in a recursive manner, i.e. adapted to account for incoming data on-line. The method allows us to obtain an approximate model of the non-linear sy...

Forecasting Wheat Price Using Backpropagation And NARX Neural Network

--------------------------------------------------ABSTRACT-------------------------------------------------------This study aims to investigate suitable model and forecast future wheat price using backpropagation neural network (BPNN) and nonlinear autoregressive models with exogenous inputs (NARX) networks. The price of wheat was estimated using prices of 3 types of grains widely used in agric...

Features of New Steam Turbine Control System

OVERVIEW: Along with advances in system component technologies, modern state-of-the-art power plant control systems are being developed by incorporating such advanced technologies as extensive digitization of high-speed control circuits, interconnection with other equipment over open interfaces, and a repertory of diverse multiplexed systems. Based on Hitachi Integrated Autonomic Control System...

Simulation of Control of Multi-variable Control Loop: Steam Turbine

Abstract The paper deals with the description and simulation verification of one of possible methods to control of multivariable control loops. In this case, the so called main controllers, binding members and correction members are used. The proposed method of control combines classical way to ensure of autonomy of control loop via binding members and the use of the method of single-variable b...