NDLI: Intelligent modified predictive optimal control of reheater steam temperature in a large-scale boiler unit

Content Provider	IEEE Xplore Digital Library
Author	Lee, K.Y. Liangyu Ma Chang-Jin Boo Won-Hee Jung Sung-Ho Kim
Copyright Year	2009
Description	Author affiliation: Corporate R&D Institute, Doosan Heavy Industries and Construction Company, Taejon, Korea (Won-Hee Jung; Sung-Ho Kim) \|\| Department of Electrical and Computer Engineering, Baylor University, Waco, TX 76798-7356, USA (Lee, K.Y.) \|\| Department of Electrical Engineering, Cheju National University, Jeju, Korea (Chang-Jin Boo) \|\| Automation Department, School of Control Science and Engineering, North China Electric Power University, Baoding, Hebei 071003, China (Liangyu Ma)
Abstract	A Modified Predictive Optimal Control (MPOC) scheme based on neural network modeling and Particle Swarm Optimization (PSO) techniques is proposed in this paper for Reheater Steam Temperature (RST) control of a large-scale boiler unit. A recurrent neural network is trained to directly model the temperature dynamic response of the reheater system. The neural network direct model is then used to evaluate the performance of the MPOC in search of the optimal control, where optimization is carried out with the PSO. A simplified PSO algorithm with search direction control is designed to find the nearest and optimal controls for the reheater steam temperature. To further improve the optimal search accuracy, each last-step prediction error between the direct model output and the actual RST is added to the current-step cost function to compensate for the model error. Control tests on a full-scope simulator of a large scale power generating unit have shown the validity of the proposed method.
Starting Page	1
Ending Page	7
File Size	6329854
Page Count	7
File Format	PDF
ISBN	9781424442416
ISSN	19449925
DOI	10.1109/PES.2009.5275381
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-07-26
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Optimal control Large-scale systems Boilers Predictive models Neural networks Temperature control Particle swarm optimization Recurrent neural networks Algorithm design and analysis Accuracy particle swarm optimization Large-scale boiler reheater steam temperature modified predictive optimal control neural network
Content Type	Text
Resource Type	Article

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