Active magnetic bearings are used in applications where ordinary bearings meet difficulties. Due to nonlinear structure of active magnetic bearing system fuzzy logic control gives an attractive choice to control these systems. In this paper a fuzzy derivate gain adjusting method for active magnetic bearing control is presented. The method is based on the error and error derivate signals that are used as the basis of the fuzzy inference. With this method the effects of the vibration noise can be decreased.
|Title of host publication||Fuzzy Logic in Artificial Intelligence|
|Subtitle of host publication||8th Austrian Artificial Intelligence Conference, FLAI '93 Linz, Austria, June 28–30, 1993 Proceedings|
|Editors||Erich P. Klement, Wolfgang Slany|
|Place of Publication||Berlin|
|Publication status||Published - 1993|
|MoE publication type||A3 Part of a book or another research book|
|Series||Lecture Notes in Computer Science|