Paper Info
Title
Intelligent Control Algorithm for Steam Temperature Regulation of Thermal Power Plants
Abstract
Artificial intelligence techniques have been developed through extensive practical implementations in industry in form of intelligent control. One of the most successful expert-system techniques, applied to a wide range of control applications, has been fuzzy logic technique. This paper shows the implementation of a fuzzy logic controller (FLC) to regulate the steam temperature in a 300 MW Thermal Power Plant. The proposed FLC was applied to regulate superheated and reheated steam temperature. The results show that the fuzzy controller has a better performance than advanced model-based controller, such as Dynamic Matrix Control (DMC) or a conventional PID controller. The main benefits are the reduction of the overshoot and the tighter regulation of the steam temperatures. Fuzzy-logic controllers can achieve good result for complex nonlinear processes with dynamic variation or with long delay times.
Year
DOI
Venue
2004
10.1007/978-3-540-24694-7_78
Lecture Notes in Computer Science
Keywords
Field
DocType
expert system,fuzzy logic,pid controller,artificial intelligent,thermal power plant,intelligent control,temperature regulation
Intelligent control,Thermal power station,Control theory,PID controller,Control theory,Computer science,Overshoot (signal),Fuzzy logic,Temperature control,Fuzzy control system
Conference
Volume
ISSN
Citations 
2972
0302-9743
0
PageRank 
References 
Authors
0.34
4
3
Name
Order
Citations
PageRank
Alfredo Sanchez-lopez100.34
Gustavo Arroyo-Figueroa217022.16
Alejandro Villavicencio Ramírez331.32