A reduced-order model based induction machine self-commissioning method

Ge, Hao; Guo, Jinglong; Bilgin, Berker; Ye, Jin; Loukanov, Voiko; Emadi, Ali

doi:10.1109/itec.2015.7165740

Cited by 2 publications

(3 citation statements)

References 23 publications

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“…Therefore, as the stator impedance Z s0 (jω) is known after the measurement, and the incremental stator inductance L s0 in the operating point is known after the robust flux-integration test, the rotor-branch impedance can be calculated from (15) for each ω and u s0 . The incremental inductance L s0 = L s0 (ψ s0 ) needed in (15) can be computed using (12) for each bias flux ψ s0 = L s (ψ s0 )i s0 . It is worth noticing that the DC-bias current may saturate the stator inductance, but this effect is taken into account in (15) using the results from the flux-integration method, as explained above.…”

Section: B Rotor-cage Impedancementioning

confidence: 99%

See 1 more Smart Citation

Standstill Self-Commissioning of an Induction Motor Drive

Mölsä

Tiitinen

Saarakkala

et al. 2020

2020 IEEE Energy Conversion Congress and Exposition (ECCE)

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This paper deals with the parameter identification of an induction motor at standstill. A comprehensive identification procedure is analyzed, describing a robust flux-integration method for main-flux saturation characteristics and transient tests for rotor-side parameters. The influence of the main-flux saturation on the transient test results and on the identified rotorside parameters is studied, and improvements are suggested. The identification procedure is validated by means of experiments using 2.2-kW and 5.6-kW induction motors. Index Terms-Induction motor drives, parameter identification, saturation characteristics.

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Section: B Rotor-cage Impedancementioning

confidence: 99%

“…In [2], [7]- [13], the identification of the rotor-side parameters using transient tests is studied. However, in [8], [10]- [12], the nonlinearity of the stator inductance is omitted. The transient impedance of the induction motor at standstill consists both of the main-flux path and the rotor branch.…”

Section: Introductionmentioning

confidence: 99%

Standstill Self-Commissioning of an Induction Motor Drive

Mölsä

Tiitinen

Saarakkala

et al. 2020

2020 IEEE Energy Conversion Congress and Exposition (ECCE)

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“…In [13], [24], this effect is mistakenly assumed to originate from the leakage inductance that saturates as a function of the stator current. The methods in [19], [21]- [23] do not consider the magnetic saturation. None of these methods compensates for the deep-bar effect, even though its effect is mitigated by choosing a low excitation frequency.…”

Section: Introductionmentioning

confidence: 99%

Standstill Identification of an Induction Motor Model Including Deep-Bar and Saturation Characteristics

Mölsä

Tiitinen

Saarakkala

et al. 2021

IEEE Trans. on Ind. Applicat.

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This paper deals with standstill identification of an induction motor drive for sensorless self-commissioning purposes. The proposed identification method is based on an advanced model of a squirrel-cage induction motor. The model includes the deep-bar effect and the magnetic saturation characteristics. The excitation signals are fed to the stator using a standard inverter without compensating for its nonlinearities. The saturable stator inductance is first identified by means of a robust flux-integration test, where unknown voltage disturbances are canceled with suitably selected current pulses. Then, the deep-bar characteristics are identified by means of a DC-biased sinusoidal excitation using different frequencies. Finally, the cross-saturation characteristics of the rotor leakage inductance are identified by altering the DC bias of the excitation signal. The identified characteristics are transformed to the parameters of the advanced motor model taking into account the interrelations of the above-mentioned phenomena. Since the physical phenomena affecting the standstill identification process are properly included in the identified model, less approximations are needed and more accurate parameter estimates are obtained. The identification procedure is validated by means of experiments using two different induction motors (5.6 kW and 45 kW).

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A reduced-order model based induction machine self-commissioning method

Cited by 2 publications

References 23 publications

Standstill Self-Commissioning of an Induction Motor Drive

Standstill Self-Commissioning of an Induction Motor Drive

Standstill Identification of an Induction Motor Model Including Deep-Bar and Saturation Characteristics

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