SVM-based and Classical MRAS for On-line Rotor Resistance Estimation: A Comparative Study

Villazana, Sergio; Seijas, César; Caralli, Antonino; Villanueva, Carlos; Arteaga, Francisco

doi:10.1109/wisp.2007.4447592

Cited by 3 publications

(1 citation statement)

References 8 publications

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“…Therefore, model reference adaptive system (MRAS) [13,14] can be built to exploit the benefits of the SRIM. First of all, the SRIM makes it possible to measure the rotor current and based on that the electromagnetic torque can be estimated if the rotor resistance is known Eq.…”

Section: Developed Algorithmmentioning

confidence: 99%

Model Reference Adaptive System for the Online Rotor Resistance Estimation in the Slip-Ring Machine Based Test-bench

Égető

Farkas

2018

Period. Polytech. Elec. Eng. Comp. Sci.

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Motor control algorithms with high dynamics are generally based on two basic approach field oriented control (FOC) and direct torque control (DTC). The idea of the first one is to decompose the stator current based on the rotor flux, the second one controls the torque based on the stator flux. Therefore, the FOC is very sensitive to the parameter accuracy regarding the drive performance. That is why it is crucial to verify the parameter identification in the real environment. On the other hand, the parameter sensitivity of DTC is much smaller since the stator flux estimation requires only the knowledge of the stator resistance. The article focuses on the verification of rotor resistance identification in the FOC based drive system by means of the slip ring machine based test bench. The recommended procedure calculates the torque based on the stator current and flux to implement model reference adaptive system for online rotor resistance estimation without signal injection.

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Section: Developed Algorithmmentioning

confidence: 99%

Model Reference Adaptive System for the Online Rotor Resistance Estimation in the Slip-Ring Machine Based Test-bench

Égető

Farkas

2018

Period. Polytech. Elec. Eng. Comp. Sci.

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Study on stator flux oriented sensorless induction motor control system

Bai-shan

Feng

2014

2014 17th International Conference on Electrical Machines and Systems (ICEMS)

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An improved Model Reference Adaptive System (MRAS) flux and speed observer which is able to identify the stator flux and rotor speed is analyzed in this paper. In addition, online identification of stator resistance and compensation of voltage drop on stator resistor are realized. Stator resistance compensation and the torque component of current closed-loop control strategy is adopted in stator flux oriented sensorless vector control of induction motor system. Stator flux control is realized and the system has good robustness.

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Precise field oriented torque control of induction machines using thermal model based resistance adaption

Scharfenstein

Schubert

et al. 2017

2017 IEEE 12th International Conference on Power Electronics and Drive Systems (PEDS)

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SVM-based and Classical MRAS for On-line Rotor Resistance Estimation: A Comparative Study

Cited by 3 publications

References 8 publications

Model Reference Adaptive System for the Online Rotor Resistance Estimation in the Slip-Ring Machine Based Test-bench

Model Reference Adaptive System for the Online Rotor Resistance Estimation in the Slip-Ring Machine Based Test-bench

Study on stator flux oriented sensorless induction motor control system

Precise field oriented torque control of induction machines using thermal model based resistance adaption

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