A novel method for estimating the initial rotor position of PM motors without the position sensor
Creators
- 1. School of Electrical and Computer Engineering, Faculty of Engineering, University of Tehran, Tehran (Iran, Islamic Republic of)
Description
Permanent magnet (PM) motors have been used widely in the industrial applications. However, a need of the position sensor is a drawback of their control system. The sensorless methods using the back-EMF (electromotive force) cannot detect the rotor position at a standstill; recently, a few methods proposed to detect the initial rotor position, but they have high estimation error which reduces starting torque of the motor. Therefore, in this paper, a novel method to detect the initial rotor position of the PM motors is proposed, first, by using a space vector model, response of the stator current space vector to the saturation of the stator core is analyzed; then a novel method based on the saturation effect is presented that estimates the initial rotor position and the maximum estimation error is less than 3.8 deg. Simulation results confirm this method is effective and precise, and variation of the motor parameters does not affect its precision.
Availability note (English)
Available from http://dx.doi.org/10.1016/j.enconman.2009.04.029Additional details
Identifiers
- DOI
- 10.1016/j.enconman.2009.04.029;
- PII
- S0196-8904(09)00167-8;
Publishing Information
- Journal Title
- Energy Conversion and Management
- Journal Volume
- 50
- Journal Issue
- 8
- Journal Page Range
- p. 1879-1883
- ISSN
- 0196-8904
- CODEN
- ECMADL
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 41058325
- Subject category
- S42: ENGINEERING;
- Descriptors DEI
- ACCURACY; CONTROL SYSTEMS; ELECTRIC CURRENTS; ELECTROMOTIVE FORCE; ERRORS; MOTORS; PERMANENT MAGNETS; ROTORS; SENSORS; SIMULATION; STATORS; TORQUE; VECTORS
- Descriptors DEC
- CURRENTS; ENGINES; EQUIPMENT; MAGNETS; TENSORS
Optional Information
- Copyright
- Copyright (c) 2009 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.