NDLI: Free-model based neural networks for a boiler-turbine plant

Content Provider	IEEE Xplore Digital Library
Author	Harnold, C.-L.-M. Lee, K.Y.
Copyright Year	2000
Description	Author affiliation: Dept. of Electr. Eng., Pennsylvania State Univ., University Park, PA, USA (Harnold, C.-L.-M.)
Abstract	The concept of the free model is implemented in the design of neuro-identifier and neuro-controller in the model reference adaptive inverse control scheme for a boiler-turbine plant. The free model approximates the future outputs of a system on the basis of the historical changes in the past and possible inputs currently applied. This feature makes it possible to identify and control a nonlinear system for which a mathematical model is not known or uncertain, such as boiler dynamics in a power plant. In order to be more economical on the fuel burning at the throttle valve, the functional mapping is applied in the reference model for the drum pressure set point from the power demand. The integrator in the reference model reduces the large initial errors for the neuro-controller training. After the training is completed, the trained neural networks are applied in the control scheme and tested under various operating conditions. It is shown that the proposed scheme can be applied to a nonlinear boiler-turbine plant with satisfactory performance globally.
Starting Page	1140
Ending Page	1144
File Size	460509
Page Count	5
File Format	PDF
ISBN	0780359356
DOI	10.1109/PESW.2000.850102
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2000-01-23
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Neural networks Inverse problems Programmable control Adaptive control Control system synthesis Nonlinear control systems Nonlinear systems Mathematical model Boilers Nonlinear dynamical systems
Content Type	Text
Resource Type	Article

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