Online Identification of the Mutual Inductance for Vector-Controlled Induction Motor Drives

Lévi,; Wang, Hong

doi:10.1109/mper.2002.4312370

Cited by 5 publications

(8 citation statements)

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“…For a power electronics coveter, it may suffer a transient current, about two times rated current [15, 28]. For the 2 MW in Appendix, the voltage caused by current pulse may be approximated as

u_{r 0} = σ \frac{L_{r}}{ω_{b}} p i_{normalr} + \frac{ω_{sr}}{ω_{normalb}} σ L_{r} i_{r} ≃ σ \frac{L_{r}}{ω_{b}} \frac{Δ i_{normalr}}{τ_{normalr}} + \frac{ω_{sr}}{ω_{b}} σ L_{normalr} i_{normalr} = 0.16

In a practical system, considering the variation of inductance (72–86.5 mH with 78 mH rated value) during its reference flux variations in various speed drive filed [29], the variation of rotor resistance sensitive to temperature, and the delay in digital control system, the transitory voltage may be taken as

u_{r 0} = 0.2

The voltage supplied by RSC at least equals to

U_{rm} = U_{r 0 m} + E_{m}

The relation of inverter output voltage and DC‐link voltage is expressed as

U_{rm} = m U_{dc}

where U dc is DC‐link voltage, m is the pulse‐width modulation ratio and the maximum value is equal to

1 / \sqrt{3}

with a space‐vector modulation.…”

Section: Stator Flux Dynamic Responses During Consecutive Voltage Vmentioning

confidence: 99%

Dynamic performance of doubly‐fed induction generator stator flux during consecutive grid voltage variations

Zhu

Chen²,

2015

IET Renewable Power Generation

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For the grid-connected doubly-fed induction generator (DFIG)-based wind turbine, because of the stator connected to the grid directly, the stator flux easily suffers from the effects of grid voltage variations, such as grid disturbances and grid faults. Moreover, since the magnetic field is excited by the rotor current, stator flux is also affected by the rotor current. Therefore this study systematically studies the dynamic performances of stator flux under consecutive grid voltage variations and varying rotor currents, and its influence on the performances of the DFIG during grid faults. The analyses reveal that the stator flux can be accumulated by the consecutive variations of the stator voltage, and the instants of grid voltage variations can lead to different amplitudes of the stator flux. In addition, the conventional vector control strategy and the active damping strategy are compared with the behaviour of the stator flux. Furthermore, the simulation and experiment are carried out to validate the theoretical analyses, and the results have clearly confirmed the correctness and effectiveness of the analyses of the stator flux performances.

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“…For a power electronics coveter, it may suffer a transient current, about two times rated current [15, 28]. For the 2 MW in Appendix, the voltage caused by current pulse may be approximated as

u_{r 0} = σ \frac{L_{r}}{ω_{b}} p i_{normalr} + \frac{ω_{sr}}{ω_{normalb}} σ L_{r} i_{r} ≃ σ \frac{L_{r}}{ω_{b}} \frac{Δ i_{normalr}}{τ_{normalr}} + \frac{ω_{sr}}{ω_{b}} σ L_{normalr} i_{normalr} = 0.16

u_{r 0} = 0.2

The voltage supplied by RSC at least equals to

U_{rm} = U_{r 0 m} + E_{m}

The relation of inverter output voltage and DC‐link voltage is expressed as

U_{rm} = m U_{dc}

where U dc is DC‐link voltage, m is the pulse‐width modulation ratio and the maximum value is equal to

1 / \sqrt{3}

with a space‐vector modulation.…”

Section: Stator Flux Dynamic Responses During Consecutive Voltage Vmentioning

confidence: 99%

Dynamic performance of doubly‐fed induction generator stator flux during consecutive grid voltage variations

Zhu

Chen²,

2015

IET Renewable Power Generation

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“…The IFOC algorithm is more often employed in traction applications, for its simplicity and easiness to implement. However, its disadvantage is sensitive to parameter variation [1].…”

Section: Introductionmentioning

confidence: 99%

Indirect field‐oriented torque control of induction motor considering magnetic saturation effect: error analysis

Liu

Shen

2017

IET Electric Power Applications

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This study investigates the causes and calculation formulas of steady-state torque and rotor flux errors, when an induction motor considering magnetic saturation effect is controlled by standard indirect field-oriented control algorithm. First, two reasons that causing the errors are analysed. One is mutual inductance mismatch between controller and motor. Another is rotor flux orientation deviation, resulting in the failure of decoupling of the magnetising and torque-producing currents. Then, the equations for calculating steady-state errors (orientation error, rotor flux error and torque error) are derived. The errors are related to reference torque, reference rotor flux and mutual inductance deviation. In addition, the characteristic maps of errors with respect to reference values are drawn. The accuracy and correctness of derived equations are validated by simulation and experimental results.

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“…Numerous parameter estimation methods have been proposed in the literature. Methods for estimating the parameters at standstill [18–20] and at rotating operating state [21, 22] have been proposed. Most of the methods are for conventional three‐phase machines, but recently, also multiphase induction machines have been considered [23, 24]…”

Section: Introductionmentioning

confidence: 99%

Determination of the inductance parameters for the decoupled d – q model of double‐star permanent‐magnet synchronous machines

Kallio

Karttunen

Peltoniemi

et al. 2014

IET Electric Power Applications

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Analytical models are the key tools in the model-based control design of electric drives. The inductances together with the stator resistance are the fundamental parameters of these models. In this study three methods to determine the inductances of the decoupled d-q model of double-star permanent-magnet (PM) synchronous machines are studied. These methods have commonly been used to determine the inductances of conventional three-phase PM machines. Two of the evaluated methods are based on the phase-variable inductance waveforms and flux linkages and are thus analysed with finite-element analyses only. The third method, based on the analytical stator voltage equations, can be applied straightforwardly with the real drive system supplied with voltage-source inverters (VSIs). This method requires only the knowledge of the rotor position and the existing current measurements of the VSIs that are used for the current control. Experimental results are provided to verify the applicability of the voltage-equation-based method to determine the inductances. On the average, the presented methods provide similar values, but also some discrepancies between the obtained values can be observed. The measured inductance parameters are validated using model-based closed-loop controllers.

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Online Identification of the Mutual Inductance for Vector-Controlled Induction Motor Drives

Cited by 5 publications

References 0 publications

Dynamic performance of doubly‐fed induction generator stator flux during consecutive grid voltage variations

Dynamic performance of doubly‐fed induction generator stator flux during consecutive grid voltage variations

Indirect field‐oriented torque control of induction motor considering magnetic saturation effect: error analysis

Determination of the inductance parameters for the decoupled d – q model of double‐star permanent‐magnet synchronous machines

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