Abstract
AbstractArtificial 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.KeywordsFuzzy ControlFuzzy ControllerThermal Power PlantFuzzy Logic ControllerFuzzy Logic ControlThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
