Fuzzy Adaptive Control System of a Non-Stationary Plant

Bibliographic Details
Parent link:IOP Conference Series: Materials Science and Engineering
Vol. 142 : Innovative Technologies in Engineering.— 2016.— [012048, 8 p.]
Main Author: Nadezhdin I. S. Igor Sergeevich
Corporate Author: Национальный исследовательский Томский политехнический университет (ТПУ) Физико-технический институт (ФТИ) Кафедра электроники и автоматики физических установок (№ 24) (ЭАФУ)
Other Authors: Goryunov A. G. Aleksey Germanovich, Manenti F. Flavio
Summary:Title screen
This paper proposes a hybrid fuzzy PID control logic, whose tuning parameters are provided in real time. The fuzzy controller tuning is made on the basis of Mamdani controller. In addition, this paper compares a fuzzy logic based PID with PID regulators whose tuning is performed by standard and well-known methods. In some cases the proposed tuning methodology ensures a control performance that is comparable to that guaranteed by simpler and more common tuning methods. However, in case of dynamic changes in the parameters of the controlled system, conventionally tuned PID controllers do not show to be robust enough, thus suggesting that fuzzy logic based PIDs are definitively more reliable and effective.
Language:English
Published: 2016
Subjects:
Online Access:http://dx.doi.org/10.1088/1757-899X/142/1/012048
http://earchive.tpu.ru/handle/11683/34731
Format: Electronic Book Chapter
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=650418

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330 |a This paper proposes a hybrid fuzzy PID control logic, whose tuning parameters are provided in real time. The fuzzy controller tuning is made on the basis of Mamdani controller. In addition, this paper compares a fuzzy logic based PID with PID regulators whose tuning is performed by standard and well-known methods. In some cases the proposed tuning methodology ensures a control performance that is comparable to that guaranteed by simpler and more common tuning methods. However, in case of dynamic changes in the parameters of the controlled system, conventionally tuned PID controllers do not show to be robust enough, thus suggesting that fuzzy logic based PIDs are definitively more reliable and effective. 
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