Applications of soft computing to motion control

Author

Matsui, Nobuyuki

Author_Institution

Dept. of Electr. Eng. & Comput. Sci., Nagoya Inst. of Technol., Japan

fYear

1998

fDate

29 Jun-1 Jul 1998

Firstpage

272

Lastpage

281

Abstract

Soft computing approaches have been attracting interest. Some application studies of soft computing approach to motor/motion control, although they are in an early stage, are described based on the simulation and experimental studies developed at Matsui Laboratory, Nagoya Institute of Technology, Japan. Fuzzy inference-based online gain tuning of a servo drive system is considered. The proposed system has, in addition to a position feedforward loop, conventional P position and PI speed compensators, thus constituting a two-degrees-of-freedom position controller

Keywords

fuzzy logic; inference mechanisms; machine control; motion control; motor drives; position control; servomotors; tuning; velocity control; autonomous tuning; control gains; fuzzy inference-based online gain tuning; motion control; nonlinearity elements; parameters identification; position feedforward loop; servo drive system; soft computing; two-degrees-of-freedom position controller; Application software; Biological system modeling; Biology computing; Computer applications; Control system synthesis; Fuzzy control; Fuzzy sets; Fuzzy systems; Motion control; Velocity control;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Motion Control, 1998. AMC '98-Coimbra., 1998 5th International Workshop on

Conference_Location

Coimbra

Print_ISBN

0-7803-4484-7

Type

conf

DOI

10.1109/AMC.1998.743548

Filename

743548