DocumentCode :
2713170
Title :
Two Reduced-order Stochastic State Observer Comparison Investigation based on LKF and SDL
Author :
Ming Chuan Huang ; Moses, Anthony ; Anayi, F. ; Sagarduy, J.
Author_Institution :
Cardiff University, Wolfson Centre for Magnetics, Department of Engineering Newport Road, Cardiff, UK, CF11 3AA Email: HuangMC@cf.ac.uk
fYear :
2006
fDate :
18-22 June 2006
Firstpage :
1
Lastpage :
6
Abstract :
The paper compared Linear Kalman Filter (LKF) technique with Single Dimension Luenberger (SDL) observer technique in the application for sensorless control of permanent magnet synchronous motor(PMSM). Both of the two reduced order state observer need not require heavy computation load for the microprocessor, The conclusion from the experiment pointed out the benefit and drawbacks such two reduced-order observers inherently can have.
Keywords :
Couplings; Microprocessors; Observers; Sensorless control; Servomechanisms; State estimation; Stochastic processes; Stochastic resonance; Stochastic systems; White noise;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Electronics Specialists Conference, 2006. PESC '06. 37th IEEE
ISSN :
0275-9306
Print_ISBN :
0-7803-9716-9
Type :
conf
DOI :
10.1109/PESC.2006.1711984
Filename :
1711984
Link To Document :
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