Adaptive sliding-mode observer for field oriented sensorless control of SPMSM

Cascella, Giuseppe Leonardo; Salvatore, N.; Salvatore, L.

doi:10.1109/isie.2003.1267984

Cited by 19 publications

(13 citation statements)

References 18 publications

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“…Many efforts were devoted to the development of observers for surface PMSM (SPSM) based on SMO [8,17,18]. In [12], the SMO is proposed firstly to estimate the back EMF and then the rotor speed/position can be deducted.…”

Section: Introductionmentioning

confidence: 99%

“…Thus, the aforementioned SMO cannot achieve the control of high performances applications [11]. To overcome this problem, an adaptive filter for PMSM is proposed in [17] where the low pass filter is replaced by a low pass filter with an adaptive gain to avoid the use of an additional phase compensator. Nevertheless, this observer cannot completely compensate the phase delay.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Sensorless sliding mode observer for a five-phase permanent magnet synchronous motor drive

Hosseyni

Trabelsi²,

Mimouni

et al. 2015

ISA Transactions

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Sensorless sliding mode observer for a five-phase permanent magnet synchronous motor drive

Hosseyni

Trabelsi²,

Mimouni

et al. 2015

ISA Transactions

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“…Numerous observer strategies are developed to estimate the states and the parameters of PMSM, such as adaptive observer [1], [2], sliding mode observer [3], [4], [5], [6] and Extended Kalman filter [7], [8], [9], [10]. Recently in [11], [12] an adaptive interconnected observer has been proposed.…”

Section: Introductionmentioning

confidence: 99%

Nonlinear observer for the PM synchronous motor

Tami

Boutat

Zheng

2014

2014 American Control Conference

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Abstract-This paper deals with nonlinear states and parameters estimation of a permanent magnet synchronous motor (PMSM) without mechanical sensors. In the proposed method, a change of coordinates is established in order to transform the PMSM system into an observer form which enables us to apply an adaptive or a high gain observer. Then the load torque, rotor speed and some parameters can be estimated from both measurable currents and voltages. The efficiency of the proposed methods is illustrated by the simulation results.

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“…Then the extended electromotive force is used instead (Chen, Tomita, Doki, and Okuma 2003). In addition, adaptive observers (Cascella, Salavatore, and Salvatore 2003), and extended Kalman filter (Boussak 2005) have been used to estimate both the speed and the position.…”

Section: Introductionmentioning

confidence: 99%

“…Combining sliding mode techniques and adaptation methods, an adaptive sliding mode observer scheme has been proposed in Cascella et al (2003). It shows a low-pass filter with an adaptive amplitude compensator, that works as derivative observer, in order to estimate the rotor speed and position from the back emf estimated.…”

Section: Introductionmentioning

confidence: 99%