Research on optimization of flux observer based on double high-pass filter method

Qihao Hu

doi:10.1117/12.3024529

13 May 2024 Research on optimization of flux observer based on double high-pass filter method

Qihao Hu

Proceedings Volume 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023); 131595Z (2024) https://doi.org/10.1117/12.3024529
Event: Eighth International Conference on Energy System, Electricity and Power (ESEP 2023), 2023, Wuhan, China

Abstract

In order to solve the problem of zero drift and initial integral value of voltage model-based low-pass filter method of stator flux observer, which may cause DC bias to the observed results, a voltage integral model of double-high-pass filter method is proposed in this paper. In order to solve the problem of zero drift and initial integral value of voltage model-based low-pass filter method of stator flux observer, which may cause DC bias to the observed results, a voltage integral model of double-high-pass filter method is proposed in this paper. Based on the error analysis of the basic models of the voltage integral stator flux observer and the high-pass filter flux observer, the basic voltage model of the double-high-pass filter method is established, and the zero drift can be effectively eliminated in theory. After compensating the amplitude and phase, the validity of the proposed model is verified by simulation. The error analysis of the basic model of the voltage integral stator flux observer and the high-pass filter flux observer is carried out, and the basic voltage model of the double-high-pass filter method is further established, which proves in theory that the zero drift can be effectively eliminated. After compensating the amplitude and phase, the validity of the proposed model is verified by simulation.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Qihao Hu "Research on optimization of flux observer based on double high-pass filter method", Proc. SPIE 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023), 131595Z (13 May 2024); https://doi.org/10.1117/12.3024529

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