Impact of iron losses on parameter identification of permanent magnet synchronous machines

Kellner, Sven Ludwig; Seilmeier, Markus; Piepenbreier, Bernhard

doi:10.1109/edpc.2011.6085541

Cited by 19 publications

(17 citation statements)

References 12 publications

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“…Due to the nonlinear nature of the iron losses the voltages Δu dq,F e increase in a over proportional way with speed [9] and thus have to be defined as speed dependent parameters. Moreover it is expected that the parameters Ψ γ d and Ψ γ q decrease with increasing speed by reason of the iron losses.…”

Section: B Pmsm Model Considering Iron Lossesmentioning

confidence: 99%

“…To do so the method proposed in [9] is used to eliminate the iron loss impact from the identified flux parameters. In this paper the method is extended for the identification of the iron loss parameters Δu d,F e and Δu q,F e , in order to investigate the impact of iron losses on back-EMF based sensorless position estimation.…”

Section: Identification Of the Parameters For Back-emf Based Senmentioning

confidence: 99%

“…In [9] it was shown that iron losses can be a major source of deterioration of the identification results for the back-EMF parameters of the PMSM. To analyze the impact of iron losses on sensorless control they have to be included in the machine model.…”

Section: Introductionmentioning

confidence: 99%

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Impact of iron losses and parameter errors on back-EMF based sensorless control of PMSM

Seilmeier

Piepenbreier

2014

IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society

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Sensorless control of PMSM for mid and high speed range is typically based on back-EMF evaluation. Magnetic saturation has to be considered to achieve good position estimation results. To do so the flux versus current characteristic has to be stored in a look-up table or approximated by easy mathematical functions in the sensorless drive controller. The PMSM models typically used for back-EMF based sensorless control do not consider the impact of iron losses. Iron losses, however, cause steady state position estimation errors which increase in value with the rotational speed of the machine. In this paper the impact of iron losses and parameter errors is investigated. By including the iron losses in the PMSM model an identification strategy can be found which makes it possible to calculate the expected iron loss related errors for sensorless operation. Comparison of the position estimation errors calculated from the identified parameters show good accordance with position estimation errors obtained from measurements in sensorless control operation, if the machine temperature is approximately the same. But it was found that the error is significantly temperature dependent.

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Section: B Pmsm Model Considering Iron Lossesmentioning

confidence: 99%

Section: Identification Of the Parameters For Back-emf Based Senmentioning

confidence: 99%

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Impact of iron losses and parameter errors on back-EMF based sensorless control of PMSM

Seilmeier

Piepenbreier

2014

IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society

Self Cite

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show abstract

“…This is due to the fact that straight-forward methods like deceleration tests yield improper results because of the permanent presence of a magnet field in permanent magnet synchronous machines. Hence the corruption of the flux linkage identification caused by iron losses [1] cannot be corrected easily.…”

Section: Introductionmentioning

confidence: 99%

“…Some authors use an additional series resistance in their models for that purpose [1], [7], [8]. As stated there, stator voltage can be expressed independently of iron loss current during stationary operation if an additional series resistance is included.…”

Section: Introductionmentioning

confidence: 99%