DocumentCode :
558433
Title :
Framework for sensitivity analysis of industry algorithms for sensorless PMSM drives
Author :
Saunders, Ben ; Heins, Greg ; De Boer, Friso
Author_Institution :
Sch. of Eng. & IT, Charles Darwin Univ., Darwin, NT, Australia
fYear :
2011
fDate :
25-28 Sept. 2011
Firstpage :
1
Lastpage :
6
Abstract :
The Permanent Magnet Synchronous Machine (PMSM) is gaining popularity in many applications due to its high efficiency and high power density. In order to achieve efficient and robust motor operation, motor position information is required. If active compensation of motor torque ripples is to be achieved in addition to simply rotating the motor the quality of the position information becomes even more important. Traditionally this position information is acquired through the use of a position sensor, however so called `sensorless´ control schemes are now becoming a popular alternative. This paper presents a review of the sensorless position estimation algorithms which are being adopted by industry. A framework is developed to assess the sensitivity of these algorithms to errors in motor parameters and non-ideal aspects of the motor and controller. This framework is based around a MATLAB®/Simulink® simulation which includes these non-ideal aspects. The simulated control loop is designed to be very close to the control loop implemented on a DSP and used to run a real motor. Results for a simple back-EMF estimator show that a 10-bit or better analog to digital converter (ADC) gives good performance, the position estimation error is almost insensitive to resistance variation and a 20% change in inductance results in a 0.7% offset error in the position estimate.
Keywords :
analogue-digital conversion; electric potential; permanent magnet machines; position control; sensitivity analysis; sensorless machine control; synchronous motor drives; DSP; MATLAB/Simulink; analog to digital converter; back-EMF estimator; industry algorithms; permanent magnet synchronous machine; sensitivity analysis; sensorless PMSM drives; sensorless control; sensorless position estimation algorithms; Induction motors; Mathematical model; Observers; Permanent magnet motors; Synchronous motors; Torque; Flux Estimatior; Permanent Magnet Synchronous Machine (PMSM); Position Estimation; Sensitivity Analysis; Sensorless control; Sliding Mode Observer (SMO); back-EMF estimator;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Universities Power Engineering Conference (AUPEC), 2011 21st Australasian
Conference_Location :
Brisbane, QLD
Print_ISBN :
978-1-4577-1793-2
Type :
conf
Filename :
6102564
Link To Document :
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