2013
DOI: 10.1109/tpel.2012.2211384
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Sensorless Control of Synchronous Machines Based on Direct Speed and Position Estimation in Polar Stator-Current Coordinates

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Cited by 67 publications
(15 citation statements)
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“…6: Signal to noise ratio and injection magnitude during zero crossing of rotor speed. 6 shows the machine in speed control, following a slow triangular reference with 500rpm amplitude. Around standstill the total hybrid SNR is controlled to 1.5 by applying 1.75% injection magnitude.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…6: Signal to noise ratio and injection magnitude during zero crossing of rotor speed. 6 shows the machine in speed control, following a slow triangular reference with 500rpm amplitude. Around standstill the total hybrid SNR is controlled to 1.5 by applying 1.75% injection magnitude.…”
Section: Resultsmentioning
confidence: 99%
“…The different principles to evaluate this voltage (the electromotive force -EMF), e.g. flux estimation [1], active flux based methods [2], Luenberger- [3] and Sliding Mode Observers [4], Kalman Filters [5] and Direct EMF Calculation [6] provide nearly flawless performance at medium and high speed, but do all share the same disadvantages: Dependence on machine parameters and the lack of observability around zero speed, when the induced voltage declines in between the noise and the offsets of measurement and actuation.…”
Section: Introductionmentioning
confidence: 99%
“…Then the following conditions hold true for n ≥ 0: lim n→+∞ s n = 1, s n+1 > s n (22) lim n→+∞ c n = 1, c n+1 > c n (23) Proof: It is sufficient to prove (22), the other condition following by analogy. Since by assumption cos θ = 0 (and also sin θ = 0), the convergence property can be verified straightforward observing that δ n → 0.…”
Section: Fault-tolerant Control Allocationmentioning
confidence: 99%
“…Much research on the model-based position estimation of surface permanent-magnet synchronous motors (SPMSMs) has been conducted until now [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18]. Model-based estimation algorithms can be classified into two categories, i.e.…”
Section: Introductionmentioning
confidence: 99%