Numerical Calculation of Incompressible Flow around a Moving Plate with an Adaptive Fuzzy Control using Chaotic Fluctuation

Autor:	Kakuji Ogawara, Hisanobu Azuma, Taketo Maruyama, Sei-ichi Iida
Rok vydání:	1992
Předmět:	symbols.namesake Adaptive neuro fuzzy inference system Adaptive control Control theory Computer science Gaussian noise Mechanical Engineering symbols Open-loop controller Fuzzy control system Poisson's equation Condensed Matter Physics Fuzzy logic
Zdroj:	TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series B. 58:3573-3577
ISSN:	1884-8346 0387-5016
Popis:	A new adaptive control method for fuzzy reasoning is proposed, in which the fuzzy controller works with a fluctuation generator for adaptation. The fluctuation generator which produces Gaussian noise is combined with antecedent parts of a fuzzy controller to fluctuate membership functions in each processing time. The learning parts of the system update the membership functions if the output from the controller is more suitable for faster convergence of the Poisson equation. Two-dimensional numerical simulation of the flow around a moving plate is conducted with the fuzzy controller using this new technique. The control variables, i. e., input to the controller, are the interval of the time step and the over-relaxation parameter of the Poisson equation. As a results it is found that this method is adaptive and time effective. The new adaptive method reduced the computational time to 80% compared that for a fuzzy controller without learning.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::f63610525e079a9ddf8c5aeae166ba7c https://doi.org/10.1299/kikaib.58.3573 Zobrazit plný text záznamu