Auto-tuning technology for fuzzy algorithms based DC brushless servo systems

Author

Inoue, Kenji ; Takakado, Yuzo ; Nakaoka, Mutsuo

Author_Institution

Shinko Electric Co. Ltd., Takegahana, Ise Mie, Japan

fYear

1993

fDate

20-24 Jun 1993

Firstpage

446

Lastpage

450

Abstract

A feasible auto-tuning method for DC brushless servo systems that introduces fuzzy algorithms is described. This is basically considered as a technique to adjust two gains of a proportional-integral (PI) compensator under the principle of providing an additional reference generator, observer, and fuzzy inferencer with a general-purpose speed control loop including PI regulator. It is possible to adjust the gains so as to be an optimum level through repeating 10 responses or more step responses in relation to variations of load inertia and mechanical vibration in addition to control characteristic fluctuations. It is proved that a DC brushless servo system can be automatically tuned to provide an optimum response if it is in a completely unstable state on the basis of the experimental results

Keywords

brushless DC motors; fuzzy control; machine control; observers; servomotors; two-term control; velocity control; DC brushless servo systems; auto-tuning method; fuzzy algorithms; fuzzy inferencer; mechanical vibration; observer; proportional-integral compensator; reference generator; speed control loop; Control systems; Filters; Fuzzy control; Fuzzy systems; Laboratories; Power engineering and energy; Pulse width modulation inverters; Regulators; Servomechanisms; Velocity control;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Electronics Specialists Conference, 1993. PESC '93 Record., 24th Annual IEEE

Conference_Location

Seattle, WA

Print_ISBN

0-7803-1243-0

Type

conf

DOI

10.1109/PESC.1993.471968

Filename

471968