NDLI: Framework for sensitivity analysis of industry algorithms for sensorless PMSM drives

Content Provider	IEEE Xplore Digital Library
Author	Saunders, B. Heins, G. De Boer, F.
Copyright Year	2011
Description	Author affiliation: School of Engineering and IT, Charles Darwin University, Darwin, Northern Territory, Australia (Saunders, B.; Heins, G.; De Boer, F.)
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.
Starting Page	1
Ending Page	6
File Size	257299
Page Count	6
File Format	PDF
ISBN	9781457717932
e-ISBN	9781921897078
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-09-25
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Queensland Univ of Tech
Subject Keyword	Induction motors Torque Permanent Magnet Synchronous Machine (PMSM) Sliding Mode Observer (SMO) back-EMF estimator Sensitivity Analysis Sensorless control Observers Permanent magnet motors Synchronous motors Position Estimation Mathematical model Flux Estimatior
Content Type	Text
Resource Type	Article

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