Fuzzy Adaptive Control System of a Non-Stationary Plant; IOP Conference Series: Materials Science and Engineering; Vol. 142 : Innovative Technologies in Engineering

Dettagli Bibliografici
Parent link:IOP Conference Series: Materials Science and Engineering
Vol. 142 : Innovative Technologies in Engineering.— 2016.— [012048, 8 p.]
Autore principale: Nadezhdin I. S. Igor Sergeevich
Ente Autore: Национальный исследовательский Томский политехнический университет
Altri autori: Goryunov A. G. Aleksey Germanovich, Manenti F. Flavio
Riassunto: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.
Lingua:inglese
Pubblicazione: 2016
Soggetti:
Accesso online:http://dx.doi.org/10.1088/1757-899X/142/1/012048
http://earchive.tpu.ru/handle/11683/34731
Natura: Elettronico Capitolo di libro
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=650418
Descrizione
Riassunto: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.
DOI:10.1088/1757-899X/142/1/012048