Estimation of speed and rotor position of BLDC motor using extended Kalman filter

Lenine, D.; Reddy, B. Eswara; Kumar, Sachin

doi:10.1049/ic:20070652

Cited by 15 publications

(10 citation statements)

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“…Back EMF represents the effect of the rotor on the stator side. The mathematical model can be represented as a differential equation with constant parameter values (Aishwarya and Jayanand, 2016;Jethwani et al, 2016;Lenine et al, 2007;Terzic and Jadric, 2001;Zabalawi and Nasiri, 2007). The voltage matrix equation for a three-phase BLDC motor is as follows (assuming symmetries in every phase): (1)…”

Section: Bldc Motor Modelmentioning

confidence: 99%

“…The increase in interest in the BLDC motor drive results in the search for new motor control methods and the estimation of the rotor position in order to eliminate Hall sensors. One of the methods of position estimation is the application of a Kalman filter, which plays a significant role in industry and is still the subject of scientific research (Aishwarya and Jayanand, 2016;Lenine et al, 2007;Terzic and Jadric, 2001;Zabalawi and Nasiri, 2007). The utilisation of estimated speed and angle can be used as a feedback for BLDC motor control system, which has already been presented in Lenine et al (2007).…”

Section: Introductionmentioning

confidence: 99%

“…One of the methods of position estimation is the application of a Kalman filter, which plays a significant role in industry and is still the subject of scientific research (Aishwarya and Jayanand, 2016;Lenine et al, 2007;Terzic and Jadric, 2001;Zabalawi and Nasiri, 2007). The utilisation of estimated speed and angle can be used as a feedback for BLDC motor control system, which has already been presented in Lenine et al (2007). There are still ongoing studies to improve the control using the optimal estimator, which was presented in Aishwarya and Jayanand (2016), where the PFC buck-boost converter and three-phase bridge were developed.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Simulation Analysis of Extended Kalman Filter Applied for Estimating Position and Speed of a Brushless DC Motor

Chojowski

2018

Power Electronics and Drives

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The purpose of this paper was to present a method for the estimation of the rotor speed and position of brushless DC (BLDC) motor. The BLDC motor state equations were developed, and the model was discretised. Extended Kalman filter has been designed to observe specific states from the state vector, needed for the sensorless control (rotor position) and to determine the speed, which may be useful to use as a feedback for the controller. A test was carried out to determine the noise covariance matrices in a simulation manner.

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Section: Bldc Motor Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Simulation Analysis of Extended Kalman Filter Applied for Estimating Position and Speed of a Brushless DC Motor

Chojowski

2018

Power Electronics and Drives

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“…As an optimal state, Kalman filter has been widely applied to the estimation of rotor position in brushless DC motors [7][8][9][10][11]. For example, Terzic adopts the extended Kalman filter to estimate the motor rotor position by measuring the line voltage and phase current.…”

Section: Introductionmentioning

confidence: 99%

Estimation of Rotor Position in Brushless Direct Current Motor by Memory Attenuated Extended Kalman Filter

Yin¹

2019

EJEE

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The Kalman filter suffers from instability and divergence in the estimation of rotor position in brushless direct current (DC) motor, owing to the time-variation of motor parameters and the distortion of the mathematical model. To solve the problem, this paper presents a new rotor position estimation method using memory attenuated extended Kalman filter (MAEKF). The filter divergence caused by model error and calculation error was suppressed by adjusting the gain of the MAEKF. A motor control system was designed based on the MAEKF, by determining the rotor position angle and the order of conduction of motor windings. The simulation and experiments show that the motor controlled by this method provided accurate commutation signals under no load, load and sudden change of load torque; the system ran stably without divergence; the control system achieved strong robustness.

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“…Thus, several sensor-less control techniques for enhancing the performance of these drives like Back-EMF zero-crossing detection, Varying inductance approach, Flux-linkage variation, MRAS control, Extended Kalman Filter method etc. have been described in [2,[4][5][6][7][8][9]. Compared to multi-stage drives, an Integrated Buck-boost Buck converter is a single-stage converter employing a single switch, which offers advantages like reduced switching losses, improved dynamic performance, power factor correction, improved power quality, fast voltage regulation, and Zero-Current switching(ZCS) at Turn-ON for reduced losses at the switch [1].The PFC converters generally have two operational modes: (i) Continuous Conduction Mode (CCM) (ii) Discontinuous Conduction Mode (DCM).…”

Section: Introductionmentioning

confidence: 99%

An Integrated Single-Stage Converter Fed Sensor-Less Motor Drive

2019

ijrte

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This paper details an Integrated Single-stage converter fed sensor-less BLDC motor drive. The drive speed is regulated by altering the DC voltage of the inverter that drives the motor. The switches of the inverter are operated at the line frequency, thereby reducing the inverter switching stresses and enhancing the overall drive system efficiency. The converter works in Dual-discontinuous Current Mode (D-DCM) for Power Factor Correction (PFC) and better power quality at the supply mains. DC voltage control is used adjust the duty ratio of the converter switch. Fast voltage regulation, zero current switching at turn-on and enhanced power factor for a broad range of speeds are the advantages of this converter configuration. The necessity of Hall-Effect position sensors is eliminated by employing a sensor-less technique for brushless dc motor commutation. This reduces the dimensions, volume and expenditure of the motor drive and upgrades its overall efficiency. Drive performance is assessed over an extensive span of speeds. A power factor approximating to unity, and enhanced power quality indicators which are adequately within the sanctioned cap of IEC standard 61000-3-2 are obtained.

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Estimation of speed and rotor position of BLDC motor using extended Kalman filter

Cited by 15 publications

References 0 publications

Simulation Analysis of Extended Kalman Filter Applied for Estimating Position and Speed of a Brushless DC Motor

Simulation Analysis of Extended Kalman Filter Applied for Estimating Position and Speed of a Brushless DC Motor

Estimation of Rotor Position in Brushless Direct Current Motor by Memory Attenuated Extended Kalman Filter

An Integrated Single-Stage Converter Fed Sensor-Less Motor Drive

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