Journal
IEEE TRANSACTIONS ON ENERGY CONVERSION
Volume 26, Issue 2, Pages 393-401Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TEC.2011.2116023
Keywords
Adaptive control; boiler-turbine control; dynamic matrix control; fuzzy inference; power generation control
Funding
- Ministry of Education, Science and Technology [2010-0025555]
- US National Science Foundation [ECCS 0801440]
- Div Of Electrical, Commun & Cyber Sys
- Directorate For Engineering [801440] Funding Source: National Science Foundation
- National Research Foundation of Korea [2010-0025555] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
Ask authors/readers for more resources
In this paper, dynamic matrix control (DMC) is made adaptive for a boiler-turbine system by using online interpolated step-response model (SRM) with fuzzy inference. A plant is described as an SRM in a conventional DMC. However, a nonlinear boiler-turbine system cannot be effectively modeled as a single SRM. In this paper, the plant is modeled with nine SRMs at various operating points, and then they are interpolated with fuzzy inference rules. The interpolation is performed at every sampling step online in order to find the best SRM for an arbitrary operating point. Therefore, the proposed adaptive DMC can achieve a bumpless control for nonlinear systems. Simulation results show satisfactory result with a wide range operation of a boiler-turbine system.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available
Share Paper
