Abstract
Abstraet ― Sensorless control systems became a standard for industrial drives. The sensorless control systems utilize observers for the estimation of the rotor position which is mandatory for torque control. One of the commonly used methods is a back-EMF observer, which estimates back-EMF and the rotor position of the permanent magnet synchronous motor as well. However, the accuracy of the observer is strictly dependent on the type of the filter used to distinguish back-EMF, which causes the phase delay in the position estimation. This paper proposes to use sinc-filter of the third order to achieve a higher accuracy in the position estimation. As the sequence coming from sliding mode observer has the properties of delta-sigma modulated signal, extra information can be extracted for the specified measurement time and provides higher accuracy than the use of simple moving average filter. The proposed algorithm was verified using MATLAB Simulink and showed better accuracy compared to conventional method.
Original language | English |
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Title of host publication | 2021 28th International Workshop on Electric Drives |
Subtitle of host publication | Improving Reliability of Electric Drives, IWED 2021 - Proceedings |
Publisher | Institute of Electrical and Electronics Engineers |
ISBN (Electronic) | 9780738144436 |
DOIs | |
Publication status | Published - 27 Jan 2021 |
Event | 28th International Workshop on Electric Drives: Improving Reliability of Electric Drives: IWED 2021 - Virtuell, Russian Federation Duration: 27 Jan 2021 → 29 Jan 2021 |
Conference
Conference | 28th International Workshop on Electric Drives: Improving Reliability of Electric Drives |
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Abbreviated title | IWED 2021 |
Country/Territory | Russian Federation |
City | Virtuell |
Period | 27/01/21 → 29/01/21 |
Keywords
- Eleetromotive-force
- Observer
- Sensorless control
- Sinc-filter
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Mechanical Engineering
- Safety, Risk, Reliability and Quality
- Control and Optimization
Fields of Expertise
- Mobility & Production