This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
Identification of Permanent Magnet Synchronous Motor Parameters
Technical Paper
2017-01-1237
ISSN: 0148-7191, e-ISSN: 2688-3627
This content contains downloadable datasets
Annotation ability available
Sector:
Language:
English
Abstract
For high performance motor controls applications such as electric vehicles, accurate motor parameter knowledge is required. Motor parameters like d-axis inductance, q-axis inductance, resistance and permanent magnet flux linkage are difficult to obtain and measure directly. These four parameters can be reduced to three parameters resistance, d-axis and q axis flux linkage. In this paper, a new scheme is proposed to approximate d-axis and q-axis flux linkage using measured torque, dq-axis measured current, and dq-axis voltage commands to the inverter. d-axis and q-axis flux linkages are estimated over a range of d-axis and q-axis currents that fully map the desired motor operation region. In the approach defined here, the parameter identification problem is converted to an optimization problem. dq-axis flux linkages are estimated using an optimization method that relies on the calculation of dq-axis voltages and torque estimates based on motor equations that correspond to the operation of interior permanent magnet (IPM) machines. Calculating and subsequently comparing these outputs to experimental results confirms that the expected torque errors from the optimized flux maps are minimal. The results obtained shows that parameters can be accurately estimated and used to estimate torque with good accuracy.
Recommended Content
Technical Paper | A New Multi Air Gap Motor with Trench Shaped Coil for HEV Applications |
Technical Paper | Spray-Formed Hybrid-Field Traction Motor |
Journal Article | ISCAD - Electric High Performance Drive for Individual Mobility at Extra-Low Voltages |
Citation
Khan, A. and Kress, M., "Identification of Permanent Magnet Synchronous Motor Parameters," SAE Technical Paper 2017-01-1237, 2017, https://doi.org/10.4271/2017-01-1237.Data Sets - Support Documents
Title | Description | Download |
---|---|---|
Unnamed Dataset 1 | ||
Unnamed Dataset 2 | ||
Unnamed Dataset 3 |
Also In
References
- Rahman , K.M. , and Hiti , S. Identification of Machine Parameters of a Synchronous Motor IEEE Transactions on Industry Applications 41 2 2005 557 565
- Liu , L. , Cartes , D. , Liu , W. Particle Swarm Optimization based Parameter Identification applied to PMSM Proceedings of American Control Conference, 2955-2960, 2007 10.1109/ACC.2007.4282649
- Liu , L. , Liu , W. , Cartes , D. , Zhang , N. Real-Time Implementation of Particle Swarm Optimization based Model Parameter Identification and an Application Example Proceedings of IEEE Congress on Evolutionary Computation, 3480–3485, 2008 , 10.1109/CEC.2008.4631268
- Sul , S. Control of Electric Machine Drive Systems John Wiley & Sons 978-0-470-59079-9 2011