Sensorless control of PMSM high dynamic drive at low speed range

Urbański, Konrad

doi:10.1109/isie.2011.5984247

Cited by 10 publications

(8 citation statements)

References 7 publications

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“…In fact, the observed signals (back EMFs) are still changing its values (sinusoidal wave) when motor isn't at standstill and the astatic character of observer corrector is very important to follow up the position with small estimation error and small phase shift. The structure of the observer's parameters vector consists of six different elements due to symmetry of the equation (14) for current and back EMF calculation and the additional seventh ke , which is used to scaling back EMF's estimated amplitude into speed value (11). The observer's structure is identical in both  and  component.…”

Section: Observer Structurementioning

confidence: 99%

“…These methods provide a real solution at small speeds and during standstill operation, but requirements with respect to hardware and software are high. The additional scientific problem is to obtain high dynamic sensorless drive [10,11]. Assumption of the limitation the applications up to speed control (without position control) gives possibility to achieve well performance of high dynamic sensorless drive for low speed operating range.…”

Section: Introductionmentioning

confidence: 99%

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Position Estimation of the PMSM High Dynamic Drive at Low Speed Range

Urbański¹

2012

MATLAB - A Fundamental Tool for Scientific Computing and Engineering Applications - Volume 1

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Section: Observer Structurementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Position Estimation of the PMSM High Dynamic Drive at Low Speed Range

Urbański¹

2012

MATLAB - A Fundamental Tool for Scientific Computing and Engineering Applications - Volume 1

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“…Other sensorless control schemes includes back emf method with the limitation of sensitivity to stator resistance mismatch and system noise during low speed operation [15,16], Low frequency voltage injection at low speeds and standstill with the limitation of low starting torque and generally poor dynamic performance [17], diagonally recurrent neural network (DRNN) with the limitations, in real-time motor control applications, of static mapping characteristics, the requirement for a large number of neurons and a long training time [18]. Finally, model reference adaptive system (MRAS) was used in [19,20].…”

Section: Introductionmentioning

confidence: 99%

A simplified sensorless speed control of permanent magnet synchronous motor using model reference adaptive system

Ojionuka¹,

Chinaeke-Ogbuka

Ogbuka³

et al. 2019

Journal of Electrical Engineering

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A simplified sensorless speed control of permanent magnet synchronous motor (PMSM) using model reference adaptive system (MRAS) is presented. The MRAS is designed and incorporated in a complete closed loop PMSM control system fed by a three-phase inverter that utilizes a simplified hysteresis current control (HCC) to generate gating signals. Accurate rotor position, being essential in PMSM control, is estimated using MRAS rather encoders and resolvers which are explicit position sensors thereby eliminating the drawbacks of the traditional speed sensors in drive systems. The performance of this model is compared with an existing model that utilizes encoders and resolvers. Superior performance was obtained from this new model with MRAS. After initial starting transients, it is observed that the rotor speed for the model with MRAS settled to steady state at 0.10 seconds as against the model with speed sensor which attained steady state at 0.31 seconds. Torque response follows the same pattern to return to the load torque of 11Nm at steady state after starting. After speed reversal, the model with MRAS restored to steady state to track the negative speed command at 0.44 seconds. This is a superior performance compared to the model with speed sensor which settled at 0.60 seconds after speed reversal. The results have clearly shown the superiority of sensorless MRAS over traditional drive models with speed sensors. The software used for this research is MATLAB/Simulink 2017 model.

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“…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 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].…”

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

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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Sensorless control of PMSM high dynamic drive at low speed range

Cited by 10 publications

References 7 publications

Position Estimation of the PMSM High Dynamic Drive at Low Speed Range

Position Estimation of the PMSM High Dynamic Drive at Low Speed Range

A simplified sensorless speed control of permanent magnet synchronous motor using model reference adaptive system

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

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