Robust position and speed estimation algorithm for permanent magnet synchronous drives

Yousfi, Driss; Azizi, Mohammad Malek Faizal; Saâd, Abdallah

doi:10.1109/ias.2000.882087

Cited by 8 publications

(2 citation statements)

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“…Transforming this equation into the γ-δ frame, the following novel model in the rotating reference is obtained. (11) This model is very simple compared with (3) and it can be utilized any type of synchronous motors such as surface PMSM (L d =L q ), interior PMSM (L d <L q ) and synchronous reluctance motor (ψ a =0). The proposed sensorless scheme in this paper is based on this new mathematical model, where the approximation is not needed at all.…”

Section: Model Of Salient-pole Pmsmmentioning

confidence: 99%

“…Various approaches in this category have been suggested. Some approaches are based on the estimation of the back EMF or flux-linkage due to permanent magnets by means of a state observer or an extended Kalman filter [7]- [11]. Other simple methods are based on the voltage or current error between the detected variables and the calculated variables from the motor model [12]- [14].…”

Section: Introductionmentioning

confidence: 99%

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Sensorless control strategy for salient-pole PMSM based on extended EMF in rotating reference frame

Morimoto¹,

Kawamoto²,

Sanada³

et al.

Conference Record of the 2001 IEEE Industry Applications Conference. 36th IAS Annual Meeting (Cat. No.01CH37248)

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This paper presents a novel sensorless control strategy for a salient-pole permanent magnet synchronous motor. A new model of salient-pole PMSM using an extended electromotive force (EMF) in the rotating reference frame is utilized to estimate both of position and speed. The extended EMF is estimated by a least-order observer, and the estimation position error are obtained from the extended EMF. Both of estimated position and speed are corrected so that the position error becomes to be zero. The proposed system is very simple and the design procedure is easy and clear.Several experimental drive tests are demonstrated and the experimental results show the effectiveness of the proposed sensorless control system.

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Section: Model Of Salient-pole Pmsmmentioning

confidence: 99%