NN-MRAS based speed estimator vs. RF-MRAS one: Design and comparison

Ajabi-Farshbaf, Rahim; Azizian, Mohammad Reza; Ebrahimi, Afshin

doi:10.1109/pedstc.2012.6183329

Cited by 3 publications

(1 citation statement)

References 14 publications

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“…In Table 4, the regulation time and steady state accuracy of the speed identification based on RF-MRAS can be obtained by papers [8] and [9]. According to the Table 4, in terms of response speed and steady state accuracy, the algorithm proposed in this paper is obviously better than the traditional algorithm based on RF-MRAS.…”

Section: Resultsmentioning

confidence: 97%

Improved Mutual MRAS Speed Identification Based on Back-EMF

Zheng¹,

Zhao²,

Liang-zhong³

2016

Journal of Electrical Engineering and Technology

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-In the design of sensorless control system for induction motor, high-precision speed estimation is one of the most difficult problems. To solve this problem, the common method is model reference adaptive method (MRAS). MRAS requires accurate motor parameters to estimate rotor speed precisely. However, when motor is running, the variety of temperature and magnetic saturation will lead to the change of motor parameters such as stator resistance and rotor resistance, which will lower the accuracy of the speed estimation. To improve the accuracy and rapidity of speed estimation, this paper analyses the mutual MRAS speed identification based on rotor flux linkage, and proposes an improved mutual MRAS speed identification based on back-EMF. The improved method is verified by Simulink simulation and motor experimental platform based on DSP2812. The results of simulation and experiment indicate that the method proposed by this paper can significantly improve the accuracy of speed identification, and speed up the response of identification.

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Section: Resultsmentioning

confidence: 97%