Online PID Controller Tuning using Fuzzy Logic Controller

Please use this identifier to cite or link to this item: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/15737

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DC Field	Value	Language
dc.contributor.author	Omizegba, E. Elijah	-
dc.contributor.author	Basil, Stephen	-
dc.contributor.author	Anene, Ejike C.	-
dc.contributor.author	USMAN, Abraham Usman	-
dc.date.accessioned	2022-12-21T11:46:55Z	-
dc.date.available	2022-12-21T11:46:55Z	-
dc.date.issued	2012-03	-
dc.identifier.issn	0974-6544	-
dc.identifier.uri	http://repository.futminna.edu.ng:8080/jspui/handle/123456789/15737	-
dc.description.abstract	In this work, a discrete Proportional-Integral-Derivative (PID) controller was trained using a Tagaki-Sugeno type fuzzy logic system. The PID parameters were acquired online without the need for manual tuning, calibration or prior knowledge of plant parameters. The developed system has the advantage of fast action and can be easily implemented with a Peripheral Interface Controller (PIC) integrated circuit. Simulation results show that the required PID gains can be acquired in less than 0.03 seconds.	en_US
dc.language.iso	en	en_US
dc.publisher	The IUP Journal of Computational Mathematics (IJCM)	en_US
dc.subject	PID Controller, Fuzzy Logic Controller, Adaptive Systems	en_US
dc.title	Online PID Controller Tuning using Fuzzy Logic Controller	en_US
dc.type	Article	en_US
Appears in Collections:	Telecommunication Engineering

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