Departmental Papers (ESE)


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.

Document Type

Conference Paper

Subject Area

GRASP, Kodlab

Date of this Version

December 1995


Copyright 1995 IEEE. Reprinted from Proceedings of the IEEE Conference on Decision and Control, 1995., Volume 2, pages 1762-1763.

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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.



Date Posted: 01 July 2008

This document has been peer reviewed.