Name
Title | ||
|---|---|---|
A Mathematical Model of Magnetic Bearing Control Based on Fuzzy Logic and Single Neuron |
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. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/APWCS.2010.101 | APWCS |
Keywords | Field | DocType |
amb system,neurocontrollers,dynamic performance,steady state error,magnetic bearings,mathematical model,single neuron control,fuzzy logic,single neuron,magnetic bearing control,amb,fuzzy logic control,fuzzy control,proposed controller,magnetic variables control,simulation result,disturbance rejection ability,magnetic flux,steady state,control systems,magnetic levitation | Fuzzy logic control,Control theory,Control theory,Computer science,Fuzzy logic,Magnetic bearing,Fuzzy control system,Control system,Steady state error | Conference |
ISBN | Citations | PageRank |
978-1-4244-6468-5 | 0 | 0.34 |
References | Authors | |
2 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhenhe Wang | 1 | 0 | 0.34 |
| Shaocong Guo | 2 | 0 | 1.01 |
| Fuyuan Zhang | 3 | 8 | 1.88 |