Sensorless speed control of PMSM via adaptive interconnected observer

Ezzat, Marwa; León, J. De; Glumineau, Alain

doi:10.1080/00207179.2011.629684

Cited by 22 publications

(12 citation statements)

References 20 publications

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“…While sensorless control is well understood at medium to high velocities, it remains a challenging task at low velocity, see, e.g. Delpoux andFloquet (2014) andEzzat, de Leon, andGlumineau (2011). The reason is that observability degenerates at zero velocity, causing a serious problem in the necessary rotor position estimation.…”

Section: Introductionmentioning

confidence: 99%

Sensorless position estimation and control of permanent-magnet synchronous motors using a saturation model

Jebai¹,

Malrait²,

Martin³

et al. 2015

International Journal of Control

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Sensorless control of permanent-magnet synchronous motors at low velocity remains a challenging task. A now well-established method consists of injecting a high-frequency signal and using the rotor saliency, both geometric and magnetic-saturation induced. This paper proposes a clear and original analysis based on second-order averaging of how to recover the position information from signal injection; this analysis blends well with a general model of magnetic saturation. It also proposes a simple parametric model of the saturated motor, based on an energy function which simply encompasses saturation and cross-saturation effects. Experimental results on a surface-mounted motor and an interior magnet motor illustrate the relevance of the approach.

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Section: Introductionmentioning

confidence: 99%

Sensorless position estimation and control of permanent-magnet synchronous motors using a saturation model

Jebai¹,

Malrait²,

Martin³

et al. 2015

International Journal of Control

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“…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%

“…Assumption that in matrices K p , K i and K ii in (20) only diagonal elements are not equal zero and moreover that due to symmetry of motor stator windings elements, what is visible in (14) and (15), the elements of matrices for axes α and β are equal.…”

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%

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Improved Method for Position Estimation Using a Two-Dimensional Scheduling Array

Urbański

Zawirski

2015

Automatika

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Original scientific paperThe paper presents results of studies on the position estimation for the permanent magnet synchronous motor (PMSM) drive using gain scheduling technique for tuning the observer's parameters. It allows a good estimation accuracy in wide range of working point change. Such observer with multi integral correction function improves the performance, but need to modify its parameters according to its speed and load.Novelty is the use of a two-dimensional gain scheduling technique and the use in the sensorless drive, where traditional solution is simple one-input scheduling variable -mainly on drives with position sensors. The look-up table output is processed using bilinear interpolation. Position observer is based on back EMF estimation. It uses predefined reference matrices of parameters, which are interpolated and depend on drive's operating point.Key words: Observers, PMSM, Scheduling, Sensorless control, Variable speed drives Unaprijeđena metoda estimacije položaja zasnovana na upotrebi dvodimenzionalnog polja za ažuriranje parametara. U radu su predstavljeni rezultati studija vezanih za estimaciju položaja sinkronog motora s permanentnim magnetima (PMSM) uz korištenje regulatora s podesivim pojačanjem za adaptaciju parametara estimatora. Metoda pokazuje dobru točnost estimacije u širokom rasponu radnog područja. Ovakav estimator s više integracijskih korekcijskih funkcija poboljšava performanse, ali i zahtijeva adaptaciju parametara ovisno o brzini i teretu.Novost predstavlja korištenje dvodimenzionalnog podešavanja pojačanja regulatora te primjena u bezsenzorskom upravljanju elektromotornim pogonom, gdje se tradicionalno koristi jednostavno ažuriranje jedne varijable -prije svega kod elektromotornih pogona sa senzorom za poziciju. Pregledna tablica izlaza koristi se uz bilinearnu interpolaciju. Estimator položaja zasnovan je na estimaciji protuelektromotorne sile. Estimator koristi unaprijed određene referentne matrice parametara koje se interpoliraju te ovise o radnoj točki.Ključne riječi: Estimatori, PMSM, ažuriranje parametara, bezsenzorsko upravljanje, elektromotorni pogon promjenjive brzine INTRODUCTIONThe Permanent Magnet Synchronous Motor (PMSM) is very often used type of motor in industrial applications. Its the most significant advantages are high power density, high torque-to-inertia ratio and small torque ripples. Such drive gives possibility to precise speed and position control at low speed range, a torque control at zero speed and has compact size. A typical control structure of PMSM drive bases on vector control method. It allows to get a good dynamics, effective performance especially during transient processes and prevents overload of the motor by controlling the torque. However, a motor shaft position sensor is required to enable the effective control of the drive. Reliable operation without sensor is still a subject of investigations. The actual investigations are mainly focused on: zero speed range [1][2][3][4], high dynamic performance [5,6], motor supplied through ...

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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. This paper presents a new method to design nonlinear observer for PMSM.…”

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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Sensorless speed control of PMSM via adaptive interconnected observer

Cited by 22 publications

References 20 publications

Sensorless position estimation and control of permanent-magnet synchronous motors using a saturation model

Sensorless position estimation and control of permanent-magnet synchronous motors using a saturation model

Improved Method for Position Estimation Using a Two-Dimensional Scheduling Array

Nonlinear observer for the PM synchronous motor

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