Intelligent control of a boiler-turbine plant based on switching control scheme
Loading...
Penn collection
Departmental Papers (ESE)
General Robotics, Automation, Sensing and Perception Laboratory
Kod*lab
General Robotics, Automation, Sensing and Perception Laboratory
Kod*lab
Degree type
Discipline
Subject
GRASP
Kodlab
Kodlab
Funder
Grant number
License
Copyright date
Distributor
Related resources
Author
Shinohara, Wataro
Contributor
Abstract
This paper reports on our present achievement toward the intelligent control of a boiler-turbine power-plant based on switching control scheme, recently revived by some active reports. To overcome strong nonlinearity emerging in load following operations of boiler-turbine power plants, which is not efficiently compensated by the conventional PI-based gain scheduling control, a neural-based nonlinear feed-forward switching control scheme is employed. Owing to its 2-degree freedom type installment in the control system and proper switching of nonlinear feed-forward control by monitoring contribution of inverse dynamics error to control error, effective suppression of nonlinearity is achieved.
Advisor
Date of presentation
1995-12-13
Conference name
Departmental Papers (ESE)
Conference dates
2023-05-17T02:19:50.000
Conference location
Date Range for Data Collection (Start Date)
Date Range for Data Collection (End Date)
Digital Object Identifier
Series name and number
Volume number
Issue number
Publisher
Publisher DOI
Comments
Copyright 1995 IEEE. Reprinted from Proceedings of the IEEE Conference on Decision and Control, 1995, Volume 2, pages 1762-1763. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Pennsylvania's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it. NOTE: At the time of publication, author Daniel Koditschek was affiliated with the University of Michigan. Currently, he is a faculty member in the Department of Electrical and Systems Engineering at the University of Pennsylvania.