Current Response Based Online Inductance Estimation Method for IPMSM DTC Drives Considering Magnetic Saturation

Li, Huayu; Melkebeek, Jan; Belie, Frederik De

doi:10.1109/speedam.2018.8445257

Cited by 6 publications

(3 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The voltage equations (8) and 9are an under-determined system of equations with two equations and six unknowns: , dd , dq , qq , d , q . These equations are not directly solvable.…”

Section: Online Parameter Identificationmentioning

confidence: 99%

“…Higher currents improve the condition number and especially the identification of the resistance. The voltage-drop over the resistance is only current depending, according to the dq-system equations (8) and (9). Methods to improve ill conditioned problems include preconditioning, scaling or regularization.…”

Section: Online Parameter Identificationmentioning

confidence: 99%

“…Due to the minimum pulse width at high inverter switching frequency the dynamic of these introduced algorithm is limited due to the AD-converter dynamics, even with fast AD-converters. Another fast calculation approach, similar to the one presented in [7], is theoretically analyzed and discussed in [8]. Thereby the current derivatives, induced by the discontinuous Direct Torque Control scheme are directly evaluated to calculate the linear supposed dq-inductances.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Online Parameter Identification of Permanent Magnet Synchronous Machines with Nonlinear Magnetics based on the Inverter Induced Current Slopes and the dq-System Equations

Decker

Stoss

Liske

et al. 2019

2019 21st European Conference on Power Electronics and Applications (EPE '19 ECCE Europe)

View full text Add to dashboard Cite

This paper shows a fast online parameter identification method for permanent magnet synchronous machines (PSMs), which uses the PWM (pulse width modulation) excitations and no additional test signals. Based on the inverter induced current slopes, the corresponding applied voltages, the rotor angle and a precise machine model, the model's parameters are calculated. Thereby the machine model consists of the dq-system equations, linearized within one PWM period. For stable and precise identification of the PSM machine parameters, the machine model has to be modified with a regularization approach. The identified parameters enable self-commissioning, tuning of the control parameters, condition monitoring or inner fault detection. In this paper the theoretical approach of the suggested method and simulation results of an equivalent test-bench system are presented.

show abstract

“…The voltage equations (8) and 9are an under-determined system of equations with two equations and six unknowns: , dd , dq , qq , d , q . These equations are not directly solvable.…”

Section: Online Parameter Identificationmentioning

confidence: 99%

Section: Online Parameter Identificationmentioning

confidence: 99%