Sensorless speed and direct torque control of interior permanent magnet synchronous machine based on extended Kalman filter

Comnac, V.; Cirstea, Marcian; Moldoveanu, Florica; Ilea, Danut; Cernat, R.-M.

doi:10.1109/isie.2002.1025950

Cited by 15 publications

(11 citation statements)

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“…In recent years, the Kalman filtering has been used to analyze synchronous motor especially permanent magnet synchronous motor. According to documents [84], [85], extended Kalman filtering (EKF) has been applied in the sensorless control of permanent magnet synchronous motor and good results have been achieved. Literature [86] proposes that using Kalman filter as observer for all-digital fuzzy Direct Torque Control (DTC) system has been carried on the accurate parameter estimation.…”

Section: Application In Motor State and Parameter Estimationmentioning

confidence: 99%

A Research on Significance of Kalman Filter-Approach as Applied in Electrical Power System

Edmund¹

2016

IJRET

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Recently, AC distribution systems have experienced high harmonic pollution due to the fact that electrical power system parameters are often mixed with noise. In an ideal situation, AC power system is supposed to have a constant frequency at specific voltage but owing to presence of connected nonlinear loads and injection into the grid from non-sinusoidal output active sources etc., have immensely contributed to the total distortion of the both current and voltage waveforms. This has increased the system loses and consequently affected other connected equipment in the system. Therefore there is a need to mitigate these effects if they cannot be eliminated intoto, hence the proposition of Kalman filter. It has been very useful in the aspect of electrical power discipline particularly in harmonic estimation. It has also find it way in the application of power system dynamics, optimal operation and control of motor, relay operation and protection, and also for accurate prediction of short and medium term electrical load forecasting. This paper is to highlight on the significant of Kalman filter methodological approach as adopted in electrical power system.

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Section: Application In Motor State and Parameter Estimationmentioning

confidence: 99%

A Research on Significance of Kalman Filter-Approach as Applied in Electrical Power System

Edmund¹

2016

IJRET

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“…In EKFC the current components in the stationary reference frame are selected as state variables, as in [7], [9]. In EKFF the stator flux linkage components in the stationary reference frame are selected as state variables, as in [10]. This means that for EKFC the state vector consist of four measurable quantities, however due to the preference for a motion-state sensorless drive only two state variables are assumed to be measurable.…”

Section: B Reduced-order Ekfmentioning

confidence: 99%

“…The state vector is chosen with the flux components in the stationary reference frame as state variables as in [10] …”

Section: ) Ekff: Ekf With Flux Componentsmentioning

confidence: 99%

“…The EKF is often discussed for the sensorless control of PMSM's, however focused on the sensorless position estimation needed for field oriented control in the rotor flux reference frame. Few publications discuss the EKF for the estimation of the stator flux linkage vector [9], [10], [15]. Especially a thorough discussion addressing the effect of incorrect parameters (resistance, inductance,rotor flux magnitude) lacks.…”

Section: Introductionmentioning

confidence: 99%

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On Extended Kalman Filters with augmented state vectors for the stator flux estimation in SPMSMs

Vyncke

Boel

Melkebeek

2010

2010 Twenty-Fifth Annual IEEE Applied Power Electronics Conference and Exposition (APEC)

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Abstract-The demand for highly dynamic electrical drives, characterized by high quality torque control, in a wide variety of applications has grown tremendously during the past decades. Direct torque control (DTC) for permanent magnet synchronous motors (PMSM) can provide this accurate and fast torque control. When applying DTC the change of the stator flux linkage vector is controlled, based on torque and flux errors. As such the estimation of the stator flux linkage is essential. In the literature several possible solutions for the estimation of the stator flux linkage are proposed. In order to overcome problems associated with the integration of the back-emf, the use of state observers has been advocated in the literature. Several types of state observers have been conceived and implemented for PMSMs, especially the Extended Kalman Filter (EKF) has received much attention. In most reported applications however the EKF is only used to estimate the speed and rotor position of the PMSM in order to realize field oriented current control in a rotor reference frame. Far fewer publications mention the use of an EKF to estimate the stator flux linkage vector in order to apply DTC. Still the performance of the EKF in the estimation of the stator flux linkage vector has not yet been thoroughly investigated. In this paper the performance of the EKF for stator flux linkage is studied and simulated. The possibilities to improve the estimation by augmenting the state vector and the consequences of these alterations are explored. Important practical aspects for FPGA implementation are discussed.

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“…In EKF1 the current components in the stationary reference frame are selected as state variables, x = [I α I β ω θ] as in [7], [9]. In EKF2 the stator flux linkage components in the stationary reference frame are selected as state variables, [10]. In both cases the current components in the stationary reference frame y = [I α I β ] are selected as output.…”

Section: ) Open-loop Current Modelmentioning

confidence: 99%

A comparison of stator flux linkage estimators for a direct torque controlled PMSM drive

Vyncke

Boel

Melkebeek

2009

2009 35th Annual Conference of IEEE Industrial Electronics

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Abstract-In an increasing number of applications highly dynamic electrical drives, characterized by high quality torque control, are demanded. Direct torque control (DTC) for AC machines, permanent magnet synchronous motors (PMSM) or induction machines, can provide this accurate and fast torque control. When applying DTC the change of the stator flux linkage vector is controlled, based on torque and flux errors. As such the estimation of the stator flux linkage is essential for a DTC drive. Furthermore the quality of the estimation directly determines the capability of the drive.In the literature several possible solutions for the estimation of the stator flux linkage are proposed. However, a comprehensive comparison between these solutions is not present. This paper gives an overview of several techniques for the estimation of the stator flux linkage for DTC in PMSMs. The theoretical advantages and disadvantages of the methods are outlined. After a short discussion on the effects of erroneous estimations the results from simulations for the different methods are reviewed. It is shown that, despite their simplicity stabilized voltage model methods can offer good performance. Still they can not reach the performance of an extended Kalman filter implementation of a current model. Aspects of the practical implementation on FPGA are discussed.

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Sensorless speed and direct torque control of interior permanent magnet synchronous machine based on extended Kalman filter

Cited by 15 publications

References 0 publications

A Research on Significance of Kalman Filter-Approach as Applied in Electrical Power System

A Research on Significance of Kalman Filter-Approach as Applied in Electrical Power System

On Extended Kalman Filters with augmented state vectors for the stator flux estimation in SPMSMs

A comparison of stator flux linkage estimators for a direct torque controlled PMSM drive

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