Measurement of the Self-Sensing Capability of Synchronous Machines for High Frequency Signal Injection Sensorless Drives

Berto, Matteo; Alberti, Luigi; Bolognani, Silverio

doi:10.1109/tia.2023.3241887

Cited by 6 publications

(3 citation statements)

References 18 publications

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“…Because the HF voltage is injected at the actual d-axis,   is zero. Sine and cosine values of the cross-coupling angle are calculated according to (7). Then, amplitude of HF current at d-q-axis can be deduced as：…”

Section: Incremental Inductance Identificationmentioning

confidence: 99%

“…Although pulsating high frequency voltage injection method can be used for sensorless control of SPMSM, Sensorless capability still faces challenges to the requirements of the actual application. It is very necessary to invest the limitation of the saliency based senorless control method [7][8][9][10]. Sensorless capability are comprised of saliency ratio, estimation error, and convergence region [7,8].…”

Section: Introductionmentioning

confidence: 99%

“…It is very necessary to invest the limitation of the saliency based senorless control method [7][8][9][10]. Sensorless capability are comprised of saliency ratio, estimation error, and convergence region [7,8]. When pulsating high frequency voltage injection is used for sensorless control of SPMSM, it is found that as load increases, the saliency ratio decreases due to the saturation effect, the convergence region of sensorless control is limited.…”

Section: Introductionmentioning

confidence: 99%

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Sensorless Capability Expansion for SPMSM based on Inductance Parameter Identification

Chen,

Ma,

Chen

2024

Preprint

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Pulsating high frequency voltage injection can be used for sensorless control of SPMSM at zero and low speed ranges. However, the sensorless capability still faces challenges to the requirements of industrial application, especially at heavy load status. Aiming at this issue, this article proposes a sensorless capability expansion method for SPMSM based on inductance parameter identification. First, incremental inductances at d-q-axis and cross-coupling inductance are identified by three steps combining the rotating high frequency voltage injection and pulsating high frequency voltage injection, then, using polynomial curve fitting algorithm, apparent inductances are calculated. Second, positive DC current injection at d-axis is proposed to enhance the saliency ratio based on the analysis of parameter identification results. Compared with the conventional =0 or &lt; 0 method, when positive DC current is injected at d-axis, saliency ratio is enhanced. Third, convergence region is expanded at heavy load status and accuracy of rotor position estimation is improved using the proposed method. Finally, the experiment results validate that the sensorless capability of SPMSM is expanded.

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Section: Incremental Inductance Identificationmentioning

confidence: 99%