A new fuzzy filter with application in motion control systems

Author

Gao, X.Z. ; Ovaska, S.J.

Author_Institution

Inst. of Intelligent Power Electron., Helsinki Univ. of Technol., Espoo, Finland

Volume

3

fYear

1999

fDate

6/21/1905 12:00:00 AM

Firstpage

280

Abstract

We propose a fuzzy logic-based filter. Different from existing fuzzy filters, our model applies the self-organizing map algorithm together with the least squares method to get the optimal membership functions, as well as the consequent inference parameters. This approach results in a delayless fuzzy filter that has more efficient filtering capability than conventional fuzzy filters. A DC servo motor system is employed as a testbed for this fuzzy filter. Simulation shows that our fuzzy filter can efficiently filter out the harmful velocity noise produced by the low-cost tachometer in the feedback loop

Keywords

DC motors; filters; fuzzy control; fuzzy set theory; motion control; self-organising feature maps; servomotors; signal processing; DC servo motor system; delayless fuzzy filter; feedback loop; filtering capability; fuzzy logic-based filter; harmful velocity noise; inference parameters; least squares method; low-cost tachometer; motion control systems; optimal membership functions; self-organizing map algorithm; Delay; Filtering; Filters; Fuzzy control; Fuzzy logic; Fuzzy systems; Inference algorithms; Least squares methods; Motion control; Servomechanisms;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man, and Cybernetics, 1999. IEEE SMC '99 Conference Proceedings. 1999 IEEE International Conference on

Conference_Location

Tokyo

ISSN

1062-922X

Print_ISBN

0-7803-5731-0

Type

conf

DOI

10.1109/ICSMC.1999.823205

Filename

823205