Design and implementation of an extended Kalman filter for the state estimation of a permanent magnet synchronous motor

Dhaouadi, Rached; Mohan, Ned; Norum, Lars

doi:10.1109/63.85891

Cited by 326 publications

(146 citation statements)

References 3 publications

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“…The diagonal initial state covariance matrix P 0 represents variances or mean-squared errors with regard to the initial condition. Varying P 0 yields the different amplitude of the transient, while both transient duration and steady state conditions will be unchanged [12,13].…”

Section: Extended Kalman Filtermentioning

confidence: 99%

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On-line Parameter Estimation of Interior Permanent Magnet Synchronous Motor using an Extended Kalman Filter

Sim¹,

Lee²,

Lee³

2014

Journal of Electrical Engineering and Technology

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-This paper presents estimation of d-axis and q-axis inductance of an interior permanent magnet synchronous motor (IPMSM) by using an extended Kalman filter (EKF). The EKF is widely used for control applications including the motor sensorless control and parameter estimation. The motor parameters can be changed by temperature and air-gap flux. In particular, the variation of the inductance affects torque characteristics like the maximum torque per ampere (MTPA) control. Therefore, by estimating the parameters, it is possible to improve the torque characteristics of the motor. The performance of the proposed estimator is verified by simulations and experimental results based on an 11kW PMSM drive system.

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Section: Extended Kalman Filtermentioning

confidence: 99%

“…This is feasible because a mathematical model, which describing the motor dynamics is very well known. The terminal quantities like voltages and currents can be measured easily and are appropriate for the determination of the parameters of the machine in an indirect way [7][8][9][10][11][12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

On-line Parameter Estimation of Interior Permanent Magnet Synchronous Motor using an Extended Kalman Filter

Sim¹,

Lee²,

Lee³

2014

Journal of Electrical Engineering and Technology

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“…In all back-EMF-based sensorless techniques, the low-speed performance is limited, and an open-loop starting strategy is required [1]- [3]. In most other sensorless control strategies, such as flux observers [4], model-reference adaptive control [5], [6], extended Kalman filters [7], and adaptive sliding observers [8] voltages often have to be measured and A/D converters are required. In order to reduce the number of voltage transducers, voltages can be deduced from the inverter switching status and the measured dc-link voltage [9].…”

Section: Sensorless Flux-weakening Control Of Permanent-magnet Brushlmentioning

confidence: 99%

Sensorless flux-weakening control of permanent magnet brushless machines using third-harmonic back-EMF

Shen

Zhu

Howe

IEEE International Electric Machines and Drives Conference, 2003. IEMDC'03.

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Abstract-The sensorless control of brushless machines by detecting the third harmonic back electromotive force is a relatively simple and potentially low-cost technique. However, its application has been reported only for brushless dc motors operating under normal commutation. In this paper, the utility of the method for the sensorless control of both brushless dc and ac motors, including operation in the flux-weakening mode, is demonstrated.Index Terms-Back electromotive force (EMF), brushless drives, permanent-magnet machines, sensorless control.

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“…In the field of the electrical engineering, Kalman filters have been used for long in applications such as the electric motors characteristic parameters measurement [3,4] or the harmonics detection [5]. The use now of Kalman filters in the current control loop can be seen as a new way to cancel not only the current harmonics demanded by the isolation or connection transformer but also to remove any undesired component of the current, if required, or even modify the shape of the injected current to accomplish certain criteria (reactive or unbalance).…”

Section: Fig 1 Pv Distributed System Connected To the Epsmentioning

confidence: 99%

Improved Kalman filter based inverter control for reduction of low order current harmonics due to isolation transformers in renewable energy sources

Beltrán¹,

Zabalza²,

Ariño³

et al. 2009

REPQJ

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Abstract. This paper is focused on the analysis of a Kalman filter performance when introduced in the current control loop of a distributed generation connection inverter. The idea is to use this kind of filter to reduce the harmonic content of the currents injected in the point of common coupling. The study has been performed by means of simulation using MatlabSimulink and clearly demonstrates that this kind of control system can improve the response produced by the inverters. The elimination of certain well-known noisy harmonics introduced by an element such as the isolation low voltage transformer has been accomplished.

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Design and implementation of an extended Kalman filter for the state estimation of a permanent magnet synchronous motor

Cited by 326 publications

References 3 publications

On-line Parameter Estimation of Interior Permanent Magnet Synchronous Motor using an Extended Kalman Filter

On-line Parameter Estimation of Interior Permanent Magnet Synchronous Motor using an Extended Kalman Filter

Sensorless flux-weakening control of permanent magnet brushless machines using third-harmonic back-EMF

Improved Kalman filter based inverter control for reduction of low order current harmonics due to isolation transformers in renewable energy sources

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