NDLI: The simulation of neural network decoupling control of the unit coordinated control system

Content Provider	IEEE Xplore Digital Library
Author	Zhang Jiaying Zhang Liping Wang Wenlan
Copyright Year	2011
Description	Author affiliation: Inner Mongolia University of Technology, Electric Power College, Hohhot 010080, China (Zhang Jiaying; Wang Wenlan) \|\| Inner Mongolia Electric Power Research Institute, Hohhot 010020, China (Zhang Liping)
Abstract	Neural network control is a new intelligent control method. Large thermal power unit coordinated control system is a relatively complex multi-variable control system, the control object has a large time delay, time-varying, nonlinear and strong coupling features, the traditional PID control algorithm is difficult to achieve good process parameters tracking and ideal control effect for the process parameters. For the characteristics of the unit coordinated control system use the neural network decoupling control in the unit coordinated control system, the simulation results show that neural network decoupling control has strong adaptability and high control precision and improve the load response rate, the control effect is better than the conventional PID control algorithms.
Starting Page	2727
Ending Page	2730
File Size	78152
Page Count	4
File Format	PDF
ISBN	9781457706776
ISSN	21612927
e-ISBN	9789881725592
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-07-22
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Chinese Assoc of Automati
Subject Keyword	Neural Network Decoupling Simulation Neurons Control systems Power systems Unit Biological neural networks Turbines Coordinated Control System Load modeling
Content Type	Text
Resource Type	Article

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