Adaptive controller using dynamic safety margin for hybrid laboratory plant

A large disturbance or model parameters variation in controlled systems may lead to system failure and decrease system safety. Adapting controller parameters is essential to compensate the system disturbance or model uncertainties. In this work, controller parameters have been adapted based on the d...

Full description

Saved in:
Bibliographic Details
Main Authors: Abdel-Geliel, Mostafa (Author) , Badreddin, Essameddin (Author)
Format: Chapter/Article Conference Paper
Language:English
Published: 01 August 2005
In: Proceedings of the 2005 American Control Conference
Year: 2005, Pages: 1443-1448
DOI:10.1109/ACC.2005.1470168
Online Access:Verlag, kostenfrei registrierungspflichtig, Volltext: https://dx.doi.org/10.1109/ACC.2005.1470168
Get full text
Author Notes:M. Abd-Elgeliel, E. Badreddin
Description
Summary:A large disturbance or model parameters variation in controlled systems may lead to system failure and decrease system safety. Adapting controller parameters is essential to compensate the system disturbance or model uncertainties. In this work, controller parameters have been adapted based on the dynamic safety margin (DSM) index to increase the system safety during different operation condition. Fuzzy controller is used to supervise DSM and to adapt the controller parameters. Also predictive controller based on DSM is discussed. The real time implementation for adaptive controller based on DSM is tested on a hybrid laboratory plant.
Item Description:Gesehen am 16.12.2019
Falsche Namensform in der Verfasserangabe (M. Abdel-Geliel)
Physical Description:Online Resource
ISBN:0780390989
9780780390980
DOI:10.1109/ACC.2005.1470168