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Development of identification based fuzzy supervisory control for pressure tank system

Author(s)
Suwatanamala, Natcha
Wongvanich, Napasool
Date Issued
January 1, 2022
Type
Conference Paper
DOI
10.23919/ICCAS55662.2022.10003818
Abstract
This paper presents the development of identification based fuzzy supervisory control for application to pressure process. The system identification is carried out using an integral based method that reformulates the differentials with an integral, that provides robustness to noise. A theoretical analysis of the identification method is also provided. Pressure data was obtained through the use of a pressure guage which is connected to a workstation via a DAQ. The collected data was then identified using the developed identification algorithm. Appropriate PID gains are firstly selected by pole placement methodology, where they are later modified with fuzzy rules according to the desired responses. Results show that the designed fuzzy supervisory control outperformed the constant PID gains which was designed by pole placements.
Citation
International Conference on Control Automation and Systems, 2022-November, 1410-1415, 2022
Subjects

fuzzy supervisory PID...

integral method

pressure tank system

system identification...

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