Squirrel-Cage Induction Motor Parameter Estimation Using a Variable Frequency Test

Monjo, Lluís; Kojooyan-Jafari, Hengameh; Córcoles, F.; Pedra, J.

doi:10.1109/tec.2014.2362964

Cited by 38 publications

(15 citation statements)

References 16 publications

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“…Induction motor's magnetizing curve was identified at standstill in [38]. Standstill variable frequency response tests are used for induction motor parameter estimation in [31]; the authors have used single-phase ac supply for validation but it has been shown elsewhere that the same tests can be carried out through the inverter [32]. High-frequency injection is used in [32] for standstill identification of induction motor model.…”

Section: Identification At Standstill (Self-commissioning)mentioning

confidence: 99%

Parameter Identification and Self-Commissioning in AC Motor Drives: A Technology Status Review

Odhano

Pescetto

Awan

et al. 2019

IEEE Trans. Power Electron.

138

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In high-performance control of ac machines through variable frequency drives, the knowledge of machine parameters plays a decisive role. The accuracy with which machine parameters can be known is directly related to the time and effort put in testing and commissioning process. In the ever-demanding industrial environments, the time spent on parameter identification translates into loss of production. To reduce commissioning times, research in this direction has focused on automatizing the identification procedure without loss of accuracy. This paper reviews different lines of research adopted over the past few decades for machine parameter identification. Parameter estimation of ac machines is considered because of their widespread applications from servomechanisms to traction to aviation. The surveyed works include self-commissioning schemes that have become an integral part and salient feature of modern electric drives. This feature enables the drives to automatically identify machine parameters and tune the control loops.

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Section: Identification At Standstill (Self-commissioning)mentioning

confidence: 99%

Parameter Identification and Self-Commissioning in AC Motor Drives: A Technology Status Review

Odhano

Pescetto

Awan

et al. 2019

IEEE Trans. Power Electron.

138

View full text Add to dashboard Cite

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“…The variability of rotor electromagnetic parameters resulting from the rotor deep-bar effect can be modeled by the IM mathematical model with rotor multi-loop representation [16][17][18][19][20][21][22][23][24][25]. Nevertheless, an estimation scheme of the rotor flux space vector which algorithm would be formulated on the basis of such IM mathematical models has not been developed so far.…”

Section: Introductionmentioning

confidence: 99%

The Novel Rotor Flux Estimation Scheme Based on the Induction Motor Mathematical Model Including Rotor Deep-Bar Effect

2019

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During torque transients, rotor electromagnetic parameters of an induction motor (IM) vary due to the rotor deep-bar effect. The accurate representation of rotor electromagnetic parameter variability by an adopted IM mathematical model is crucial for a precise estimation of the rotor flux space vector. An imprecise estimation of the rotor flux phase angle leads to incorrect decoupling of electromagnetic torque control and rotor flux amplitude regulation which in turn, causes deterioration in field-oriented control of IM drives. Variability of rotor electromagnetic parameters resulting from the rotor deep-bar effect can be modeled by the IM mathematical model with rotor multi-loop representation. This paper presents a study leading to define the unique rotor flux space vector on the basis of the IM mathematical model with rotor two-terminal network representation. The novel rotor flux estimation scheme was validated with the laboratory test bench employing the IM of type Sg 132S-4 with two variants of rotor construction: a squirrel-cage rotor and a solid rotor manufactured from magnetic material S235JR. The accuracy verification of the rotor flux estimation was performed in a slip frequency range corresponding to the IM load adjustment range up to 1.30 of the stator rated current. This study proved the correct operation of the developed rotor flux estimation scheme and its robustness against electromagnetic parameter variability resulting from the rotor deep-bar effect in the considered slip frequency range.

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“…Parameter identification has been studied widely and a great number of methods are available in literature. Some standstill identification schemes, e.g., [1], [2], do not take the magnetic saturation into account. The self-commissioning method in [3] is not a standstill procedure and also needs a speed sensor which is not available in standard drives.…”

Section: Introductionmentioning

confidence: 99%

Comparison of Standstill Parameter Identification Methods for Induction Motors

Khamehchi

Mölsä

Hinkkanen

2018

2018 IEEE 9th International Symposium on Sensorless Control for Electrical Drives (SLED)

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This paper compares two different standstill identification schemes for the induction motor (IM) parameters. The schemes apply sinusoidal-excitation tests and DC-decay tests. Magnetic saturation of the motor is taken into account. The sensitivity of the parameter estimation to the stator resistance errors and the voltage errors is studied. Simulation results using a 2.2-kW IM drive are presented. Index Terms-Induction motor drives, parameter identification, saturation characteristics.

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Squirrel-Cage Induction Motor Parameter Estimation Using a Variable Frequency Test

Cited by 38 publications

References 16 publications

Parameter Identification and Self-Commissioning in AC Motor Drives: A Technology Status Review

Parameter Identification and Self-Commissioning in AC Motor Drives: A Technology Status Review

The Novel Rotor Flux Estimation Scheme Based on the Induction Motor Mathematical Model Including Rotor Deep-Bar Effect

Comparison of Standstill Parameter Identification Methods for Induction Motors

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