Hybrid Model Flux Observer for PMSM Sensorless Control System Considering Parameter Disturbances and Measurement Noise

The hybrid model flux observer integrates the advantages of the voltage and current models to improve its control performance. However, at low speeds, the observer is more sensitive to the noise present in the measurement signals, causing the observation results to deviate from the actual values, an...

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Main Authors: An-Fei Xu, Xuesong Zhu, Lei Yuan
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
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Online Access:https://ieeexplore.ieee.org/document/10857288/
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author An-Fei Xu
Xuesong Zhu
Lei Yuan
author_facet An-Fei Xu
Xuesong Zhu
Lei Yuan
author_sort An-Fei Xu
collection DOAJ
description The hybrid model flux observer integrates the advantages of the voltage and current models to improve its control performance. However, at low speeds, the observer is more sensitive to the noise present in the measurement signals, causing the observation results to deviate from the actual values, and the situation of parameter mismatch will pose a serious challenge to the stability of the control system. Through mathematical derivation in this paper, the influence degree of resistance and inductance parameters on the observation angle error at different rotational speeds is obtained, and it is proposed to introduce an improved extended state observer to compensate for the system parameter disturbances to enhance the system robustness. By constructing a state equation considering measurement noise and analyzing the Bode diagram in this paper, it is concluded that the improved extended state observer, compared to the traditional observer, can reduce the sensitivity to high-frequency measurement noise and improve the estimation performance of low-frequency disturbances, and its stability conditions are derived. Finally, comparison experiments of the starting process, load mutation, parameter mutation and different flux observer methods under different load conditions are designed. The experimental results show that this control strategy, in the low-speed domain, can enhance the system’s resistance to parameter disturbances, improve the measurement accuracy of the system, and effectively suppress the measurement noise existing in the system, verifying the effectiveness and feasibility of this control strategy.
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spelling doaj-art-d11c6e6b7f6249ef8a6eafcbf5318c562025-08-20T03:10:46ZengIEEEIEEE Access2169-35362025-01-0113330493306110.1109/ACCESS.2025.353571310857288Hybrid Model Flux Observer for PMSM Sensorless Control System Considering Parameter Disturbances and Measurement NoiseAn-Fei Xu0Xuesong Zhu1https://orcid.org/0009-0001-8235-7403Lei Yuan2https://orcid.org/0000-0002-0694-8631School of Electrical and Electronic Engineering, Hubei University of Technology, Wuhan, ChinaSchool of Electrical and Electronic Engineering, Hubei University of Technology, Wuhan, ChinaSchool of Electrical and Electronic Engineering, Hubei University of Technology, Wuhan, ChinaThe hybrid model flux observer integrates the advantages of the voltage and current models to improve its control performance. However, at low speeds, the observer is more sensitive to the noise present in the measurement signals, causing the observation results to deviate from the actual values, and the situation of parameter mismatch will pose a serious challenge to the stability of the control system. Through mathematical derivation in this paper, the influence degree of resistance and inductance parameters on the observation angle error at different rotational speeds is obtained, and it is proposed to introduce an improved extended state observer to compensate for the system parameter disturbances to enhance the system robustness. By constructing a state equation considering measurement noise and analyzing the Bode diagram in this paper, it is concluded that the improved extended state observer, compared to the traditional observer, can reduce the sensitivity to high-frequency measurement noise and improve the estimation performance of low-frequency disturbances, and its stability conditions are derived. Finally, comparison experiments of the starting process, load mutation, parameter mutation and different flux observer methods under different load conditions are designed. The experimental results show that this control strategy, in the low-speed domain, can enhance the system’s resistance to parameter disturbances, improve the measurement accuracy of the system, and effectively suppress the measurement noise existing in the system, verifying the effectiveness and feasibility of this control strategy.https://ieeexplore.ieee.org/document/10857288/Sensorless controlhybrid model flux observermeasurement noiseparameter mismatchimproved extended state observer
spellingShingle An-Fei Xu
Xuesong Zhu
Lei Yuan
Hybrid Model Flux Observer for PMSM Sensorless Control System Considering Parameter Disturbances and Measurement Noise
IEEE Access
Sensorless control
hybrid model flux observer
measurement noise
parameter mismatch
improved extended state observer
title Hybrid Model Flux Observer for PMSM Sensorless Control System Considering Parameter Disturbances and Measurement Noise
title_full Hybrid Model Flux Observer for PMSM Sensorless Control System Considering Parameter Disturbances and Measurement Noise
title_fullStr Hybrid Model Flux Observer for PMSM Sensorless Control System Considering Parameter Disturbances and Measurement Noise
title_full_unstemmed Hybrid Model Flux Observer for PMSM Sensorless Control System Considering Parameter Disturbances and Measurement Noise
title_short Hybrid Model Flux Observer for PMSM Sensorless Control System Considering Parameter Disturbances and Measurement Noise
title_sort hybrid model flux observer for pmsm sensorless control system considering parameter disturbances and measurement noise
topic Sensorless control
hybrid model flux observer
measurement noise
parameter mismatch
improved extended state observer
url https://ieeexplore.ieee.org/document/10857288/
work_keys_str_mv AT anfeixu hybridmodelfluxobserverforpmsmsensorlesscontrolsystemconsideringparameterdisturbancesandmeasurementnoise
AT xuesongzhu hybridmodelfluxobserverforpmsmsensorlesscontrolsystemconsideringparameterdisturbancesandmeasurementnoise
AT leiyuan hybridmodelfluxobserverforpmsmsensorlesscontrolsystemconsideringparameterdisturbancesandmeasurementnoise