Modular Design for Sensorless Control of Synchronous Machine Drives With an LC Filter

This paper presents a modular design for sensorless control of synchronous machine drives equipped with an LC filter. The modularity allows for incorporating active damping into the existing flux-vector control law without redesigning the controller. A dedicated LC filter state observer is developed that interfaces with existing machine observer designs, enabling the reuse of established observer designs while addressing the challenges introduced by the LC filter. Small-signal analysis is used to obtain appropriate observer gains, ensuring that converter and stator current errors remain in the same direction. Both simulation and experimental results validate the proposed control.

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Publication Details

Published
2025-05-18
DOI
https://doi.org/10.1109/iemdc60492.2025.11061027
Primary Topic
Control Systems in Engineering
Type
article
Field-Weighted Citation Impact
0.00

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article

Modular Design for Sensorless Control of Synchronous Machine Drives With an LC Filter

Hannu Hartikainen, Marko Hinkkanen
Control Systems in Engineering
article

Modular Design for Sensorless Control of Synchronous Machine Drives With an LC Filter

Hannu Hartikainen, Marko Hinkkanen
article en

Abstract

This paper presents a modular design for sensorless control of synchronous machine drives equipped with an LC filter. The modularity allows for incorporating active damping into the existing flux-vector control law without redesigning the controller. A dedicated LC filter state observer is developed that interfaces with existing machine observer designs, enabling the reuse of established observer designs while addressing the challenges introduced by the LC filter. Small-signal analysis is used to obtain appropriate observer gains, ensuring that converter and stator current errors remain in the same direction. Both simulation and experimental results validate the proposed control.

Aalto University (FI)
ABB
Affordable and clean energy
Openalex Percentile: Top 84%
Control Systems in Engineering
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