DocumentCode :
2605441
Title :
A Mathematical Model of Magnetic Bearing Control Based on Fuzzy Logic and Single Neuron
Author :
Wang, Zhenhe ; Guo, Shaocong ; Zhang, Fuyuan
Author_Institution :
Coll. of Sci., Hebei Univ. of Sci. & Technol., Shijiazhuang, China
fYear :
2010
fDate :
17-18 April 2010
Firstpage :
371
Lastpage :
374
Abstract :
This paper presents design and simulation of a controller which combines the fuzzy control with single neuron control in order to improve the dynamic performance and disturbance rejection ability. The proposed controller overcomes the defaults of the fuzzy logic control which has steady state error as well as the single neuron control which has unsatisfied dynamic performance. Simulation results demonstrate that the controller has improved not only the dynamic performance of AMB system but also the disturbance rejection ability.
Keywords :
fuzzy control; magnetic bearings; magnetic variables control; neurocontrollers; AMB system; disturbance rejection ability; fuzzy logic; magnetic bearing control; mathematical model; single neuron; steady state error; Coils; Control systems; Fuzzy control; Fuzzy logic; Magnetic flux; Magnetic levitation; Mathematical model; Neurons; Stators; Three-term control; AMB; fuzzy control; single neuron;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wearable Computing Systems (APWCS), 2010 Asia-Pacific Conference on
Conference_Location :
Shenzhen
Print_ISBN :
978-1-4244-6467-8
Electronic_ISBN :
978-1-4244-6468-5
Type :
conf
DOI :
10.1109/APWCS.2010.101
Filename :
5481207
Link To Document :
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