Standstill Parameter Identification of Vector-Controlled Induction Motors Using the Frequency Characteristics of Rotor Bars

Kwon, Youngsu Cho; Lee, Jeong-Hum; Moon, Sang-Ho; Kwon, Byung-Ki; Choi, Changho; Seok, Jul-Ki

doi:10.1109/tia.2009.2027164

Cited by 47 publications

(5 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…where u * dj and i dj are the d-axis voltage reference and current feedback at the j-th moment, and n is the amount of sampling number. This is described as Equation (7):…”

Section: Svpwmmentioning

confidence: 99%

“…In many control schemes of SPMSMs, such as current controller auto-tuning, model predictive control and electromotive force (EMF) model based sensorless control, accurate values of stator resistance (R s ), dand q-axes inductances (L d and L q ) and permanent magnet (PM) flux linkage (ψ f ) are critical parameters that should be known to improve the control performance [4][5][6]. However, in many cases, the parameters are designed by the motor manufacturers and will not be accurately obtained prior to start up [7]. This has brought dilemmas in real applications and motivated the research on offline parameter identification.…”

Section: Introductionmentioning

confidence: 99%

“…Offline parameter identification has been widely studied in recent decades [7][8][9][10][11][12][13][14][15][16] due to its superior ability to provide motor parameters before the motor starts up [8,12]. Different signals are used in the control strategy to fulfill the parameter identification.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Novel Voltage Injection Based Offline Parameters Identification for Current Controller Auto Tuning in SPMSM Drives

et al. 2020

View full text Add to dashboard Cite

This paper presents a comprehensive study on a novel voltage injection based offline parameter identification method for surface mounted permanent magnet synchronous motors (SPMSMs). It gives solutions to obtain stator resistance, d- and q-axes inductances, and permanent magnet (PM) flux linkage that are totally independent of current and speed controllers, and it is able to track variations in q-axis inductance caused by magnetic saturation. With the proposed voltage amplitude selection strategies, a closed-loop-like current and speed control is achieved throughout the identification process. It provides a marked difference compared with the existing methods that are based on open-loop voltage injection and renders a more simplified and industry-friendly solution compared with methods that rely on controllers. Inverter nonlinearity effect compensation is not required because its voltage error is removed by enabling the motor to function at a designed routine. The proposed method is validated through two SPMSMs with different power rates. It shows that the required parameters can be accurately identified and the proportional-integral current controller auto-tuning is achieved only with very limited motor data such as rated current and number of pole pairs.

show abstract

“…where u * dj and i dj are the d-axis voltage reference and current feedback at the j-th moment, and n is the amount of sampling number. This is described as Equation (7):…”

Section: Svpwmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Novel Voltage Injection Based Offline Parameters Identification for Current Controller Auto Tuning in SPMSM Drives

et al. 2020

View full text Add to dashboard Cite

show abstract

“…Several methods of parameter identification of the induction machine have been proposed in the literature [8][9][10][11]. These can be divided into two main categories; signal-based [12,13] and model-based techniques where machine parameters are identified based on external measurements of voltage, current, speed, and/or torque [14][15][16][17][18]. In this case, different sets of parameter values may be obtained depending on whether the machine model is identifiable or not [4,15,19].…”

Section: Introductionmentioning

confidence: 99%

On the Identifiability of Steady-State Induction Machine Models Using External Measurements

Alturas

Gadoue

Zahawi

et al. 2016

IEEE Trans. Energy Convers.

View full text Add to dashboard Cite

Newcastle University ePrints -eprint.ncl.ac.uk Alturas AM, Gadoue SM, Zahawi B, Elgendy MA. On the Identifiability of Steady State Induction Machine Models using External Measurements. IEEE Transactions on Energy Conversion 2015. Abstract-A common practice in induction machine parameter identification techniques is to use external measurements of voltage, current, speed, and/or torque. Using this approach, it has been shown that it is possible to obtain an infinite number of mathematical solutions representing the machine parameters. This paper examines the identifiability of two commonly used induction machine models, namely the T-model (the conventional per phase equivalent circuit) and the inverse Γ-model. A novel approach based on the Alternating Conditional Expectation (ACE) algorithm is employed here for the first time to study the identifiability of the two induction machine models. The results obtained from the proposed ACE algorithm show that the parameters of the commonly employed T-model are unidentifiable, unlike the parameters of the inverse Γ-model which are uniquely identifiable from external measurements. The identifiability analysis results are experimentally verified using the measured operating characteristics of a 1.1 kW three-phase induction machine in conjunction with the Levenberg-Marquardt (L-M) algorithm which is developed and applied here for this purpose. Index Terms: induction motor (IM), identifiability analysis, parameter identification.A. M. Alturas is with the School

show abstract

“…The rotor time constant and magnetizing inductance were identified. References [16][17][18] dealt with different identification methods for the induction motor parameters at standstill too.…”

mentioning

confidence: 99%

Online-Identification of Electromagnetic Parameters of an Induction Motor

et al. 2020

View full text Add to dashboard Cite

Incompliance of the settings of the system to control actual values of the parameters of a variable frequency induction electric drive may sometimes result in complete non-operability of a variable frequency electric drive as well as in the considerable reduction of the dynamic quality parameters. Such parameters as active rotor resistance, rotor inductance, and inductance of the magnetization circuit are available for the immediate measuring. They are not identified in terms of the acceptance tests, and the values presented in catalogues and reference books are calculated ones that may differ considerably from the real values of a certain machine. Despite constant studies by the researchers, a task to identify electromagnetic parameters of the equivalent circuit of an induction motor is still important and topical. The objective of the paper is to develop a method of online-identification of the electromagnetic parameters of an induction motor making it possible to implement accurate regulator adjustment of the frequency control system in terms of operational changes in the driving motor parameters. For the first time, the paper analyzes a steady mode of induction motor operation which does not apply T-network of the equivalent circuit of an induction motor. An approach has been proposed relying on the equation of an induction motor in three-phase fixed coordinate system obtained on the basis of the theory of generalized electromechanical converter.

show abstract

Standstill Parameter Identification of Vector-Controlled Induction Motors Using the Frequency Characteristics of Rotor Bars

Cited by 47 publications

References 17 publications

A Novel Voltage Injection Based Offline Parameters Identification for Current Controller Auto Tuning in SPMSM Drives

A Novel Voltage Injection Based Offline Parameters Identification for Current Controller Auto Tuning in SPMSM Drives

On the Identifiability of Steady-State Induction Machine Models Using External Measurements

Online-Identification of Electromagnetic Parameters of an Induction Motor

Contact Info

Product

Resources

About