NDLI: T-S fuzzy modeling based on compatible relation and its application in power plant

Content Provider	IEEE Xplore Digital Library
Author	Hou Guolian Hou Qian Zhang Jianhua
Copyright Year	2011
Description	Author affiliation: School of Control and Computer, Engineering, North China Electric Power University, Beijing, China.102206 (Hou Guolian) \|\| School of Control and Computer Engineering, North China Electric Power University, Beijing, China.102206 (Hou Qian; Zhang Jianhua)
Abstract	The characteristics of industrial process control systems are nonlinearity, time variability and uncertainties during variable operations. For complex nonlinear systems, a T-S fuzzy system modeling based on compatible relation is presented in the paper. The cluster analysis algorithm based on compatible relation can calculate the best cluster subset and number of the subset at the same time. The algorithm can take full advantage of experimental data, and greatly improve the recognition accuracy. The parameters of the proposed algorithm do not need to be adjusted, which reduces computation and shorten identification time. The consequent parameters of rules are determined by used of the recursive least squares method. The proposed modeling approach can be illustrated based on practical application. The models of coordinated control system of 160MW fuel unit and 1000MW ultra-supercritical power unit are established by using the proposed method. Simulation results show that the proposed method can achieve higher recognition accuracy, and it is very effective to coordinated control system in power plant.
Starting Page	1308
Ending Page	1313
File Size	300178
Page Count	6
File Format	PDF
ISBN	9781424487547
e-ISBN	9781424487561
e-ISBN	9781424487554
DOI	10.1109/ICIEA.2011.5975789
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-06-21
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Mathematical model Clustering algorithms Algorithm design and analysis Simulation Control systems Load modeling Fuzzy systems coordinated control system T-S fuzzy system modeling compatible relation
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in