Abstract
This paper describes a demodulation approach based on the least squares method for a saliency based position estimation in slowly sampled field-oriented control systems. The proposed approach focuses on the sensorless control of electrical drives in which the sample rate of the control task is chosen slower than both the maximum possible update rate of the phase voltages and the maximum possible sample rate of the phase current measurement by a multiple. Under those conditions it is possible to inject multiple-frequency carrier signals between two successive control sampling instances without affecting the control. Furthermore, a combined demodulation of these signals is enabled by exploiting the constant manipulated variables of the field-oriented control system during the injection sequence. With the proposed method the signal-to-noise-ratio (SNR) of the calculated rotor position as well as the acoustic noise produced by signal injections can be optimized. The approach is implemented in a field-oriented control for permanent magnet synchronous machines (PMSM) and is verified in experiments.
| Original language | English |
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| Title of host publication | IEEE Industry Application Society, 52nd Annual Meeting |
| Subtitle of host publication | IAS 2016 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781467386715 |
| DOIs | |
| State | Published - 2 Nov 2016 |
| Event | 52nd Annual Meeting on IEEE Industry Application Society, IAS 2016 - Portland, United States Duration: 2 Oct 2016 → 6 Oct 2016 |
Publication series
| Name | IEEE Industry Application Society, 52nd Annual Meeting: IAS 2016 |
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Conference
| Conference | 52nd Annual Meeting on IEEE Industry Application Society, IAS 2016 |
|---|---|
| Country/Territory | United States |
| City | Portland |
| Period | 2/10/16 → 6/10/16 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Carrier Signal Injection
- Multiple-Frequency Injection
- Permanent magnet machines
- Self-Sensing
- Sensorless Control
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