Rotor Eddy Current Losses Analysis on BPMSM Using FEM
p.85
p.85
Self Adaptive Integral-Type Sliding Mode Control for Supporting Structure of a Magnetic Vertical Axis Wind Turbine
p.90
p.90
Sensorless Control of IPMSM Using Extended Flux Estimation Method
p.95
p.95
Sensorless Control of IPMSM Using Modified Current Slope Estimation Method
p.100
p.100
System Identification Based on Recursive Least Square Method for the Magnetic Suspension Active Vibration Isolation System
p.105
p.105
The Impact Analysis of Digital Controller Hardware Parameters of AMB on Control Precision
p.111
p.111
Analysis of a Comprehensive Example of Numerical Control Machining
p.119
p.119
Analysis of Impact of Substation Grounding on Power Network
p.125
p.125
Application of Kalman Filter in DC Motor Speed Control System
p.129
p.129
System Identification Based on Recursive Least Square Method for the Magnetic Suspension Active Vibration Isolation System
Abstract:
In this paper, we use recursive least squares method for magnetic single layer vibration isolation system identification to get the system transfer function matrix. By considering the fitting degree, pole-zero, the step response to adjust the order of model and noise structure for optimizing the model Identification. Applying the system transfer function matrix to the magnetic active vibration control system to improve the isolation effect. The results showed that: significantly improved isolation effect, verify the validity of this identification model for magnetic single isolation system.
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Info:
Periodical:
Applied Mechanics and Materials (Volume 150)
Pages:
105-110
Citation:
Online since:
January 2012
Authors:
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