2009 9th International Conference on Electronic Measurement &Amp; Instruments 2009
DOI: 10.1109/icemi.2009.5274386
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Novel intelligent sensorless control of permanent magnet synchronous motor drive

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Cited by 7 publications
(4 citation statements)
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“…By Clarke transform, the flux equation and voltage equation can be got as follows [10][11][12]: According to the flux equation, the voltage equation can be written as [13][14]:…”
Section: Mathematic Model Of Pmsmmentioning
confidence: 99%
“…By Clarke transform, the flux equation and voltage equation can be got as follows [10][11][12]: According to the flux equation, the voltage equation can be written as [13][14]:…”
Section: Mathematic Model Of Pmsmmentioning
confidence: 99%
“…When it is not possible to incorporate a rotor position sensor in the electric machine, the rotor position can be obtained from estimation methods. This control is denominated as sensorless FOC [33][34][35][36]. Figure 9 presents the conversion stages and axes system used in FOC.…”
Section: Operation In Traction Modementioning
confidence: 99%
“…In typical realization, the correction is based on error between measured and calculated currents value. Assuming that derivative of disturbances is equal zero, one can write the observer equations as (14)(15)(16)(17). Located in the observer's equations (16) (17) and then (23) (24) the correction components, cause that observer calculates the proper value although estimated EMF initial values are equal to zero.…”
Section: Observer Structurementioning
confidence: 99%
“…The actual investigations are mainly focused on: zero speed range [1][2][3][4], high dynamic performance [5,6], motor supplied through choke or LC filter [7][8][9] and supplied by matrix converter [1,10]. Various approaches to the sensorless control are applied: using signal injections (typical application is zero speed range), based on back EMF estimation -including continuous observer of the kind which is presented in the paper and sliding mode based observers [11], based on Kalman filter [12,13], an adaptive interconnected observer [14] and the use of the artificial neural networks [15,16]. An additional modification that improves the sensorless performance, may be the motor parameter online identification [17] which may improve sensorless performance for low speed range.…”
Section: Introductionmentioning
confidence: 99%