An Auxiliary Variable-Based MRAS Speed Observer for Stable Wide-Speed Operation in Sensorless Induction Motor Drives
For speed-sensorless induction motors (IMs) that require operation over a wide-speed range, the commonly used rotor flux-based model reference adaptive system (MRAS) cannot guarantee the speed estimation stability for the following two reasons: 1) the poor damping performance of current model (CM) observer resulting in the accuracy degradation and potential discretization instability in high-speed range and 2) the margin stability of the open-loop integrator in voltage model (VM) observer, resulting in the instability issue in low-speed range. To address these problems, this article proposes the corresponding solutions: 1) a coordinate transformation-based Euler method is studied to discretize CM observer leading to stability and accuracy improvement in high-speed range and 2) an auxiliary variable, representing the rotor flux error, is modeled in the VM, and a closed-loop auxiliary variable observer is designed to overcome the open-loop integrator problem. Furthermore, the stability of the overall MRAS is investigated in both continuous domain and discrete domain, verifying the stable wide-speed sensorless operation. Finally, the proposed auxiliary variable-based MRAS is tested on a 3.7-kW IM platform to prove its effectiveness.
Authors
- Zhonglei Zhang (ORCID: https://orcid.org/0000-0001-8401-9953)
- Bo Wang (ORCID: https://orcid.org/0000-0002-5246-3299)
- Tianqing Wang (ORCID: https://orcid.org/0000-0002-1334-5097)
- Yong Yu (ORCID: https://orcid.org/0000-0002-8144-744X)
- Dianguo Xu (ORCID: https://orcid.org/0000-0002-1594-8625)
- Shuhui Jin
Institutions
- Harbin Institute of Technology (CN)
- Tianjin Research Institute of Electric Science (China) (CN)
Publication Details
- Journal
- IEEE Journal of Emerging and Selected Topics in Power Electronics
- Published
- 2024-08-13
- DOI
- https://doi.org/10.1109/jestpe.2024.3443077
- Citations
- 7
- Primary Topic
- Sensorless Control of Electric Motors
- Type
- article
- Field-Weighted Citation Impact
- 1.46