Position Estimator Employing Kalman Filter for PM Motors Driven with Binary-type Hall Sensors

Lee, Dong-Myung

doi:10.5370/jeet.2016.11.4.931

Cited by 5 publications

(3 citation statements)

References 16 publications

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“…Some control techniques have been developed to regulate these motor drives in high-performance applications (Bakhti et al, 2013(Bakhti et al, , 2014Zawairski et al, 2013;Chen et al, 2015;Lee, 2016). In this paper, we are interested by integral backstepping control design.…”

Section: Introductionmentioning

confidence: 99%

Robust integral backstepping control with extended Kalman filter of permanent magnet synchronous motor

Bakhti

Chaouch

Makouf

et al. 2019

IJISE

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Sensorless integral backstepping control combined with extended Kalman filter applied to permanent magnet synchronous motors (PMSM) is the topic of this paper. Moreover, a robust backstepping control is designed where an integral action is introduced in order to improve the robust properties of the controller. Our proposed control strategy is based on an accurate extended Kalman filter observer that estimates speed, position, stator currents and load torque. This Kalman filter is an optimal state estimator and is usually applied to a dynamic system that involves a random noise environment. The stability of the system with the observer-controller scheme is analysed and sufficient conditions are given to prove the practical stability. The simulation results are shown to illustrate the performance of the proposed scheme under parametric uncertainties and low speed.

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Section: Introductionmentioning

confidence: 99%

Robust integral backstepping control with extended Kalman filter of permanent magnet synchronous motor

Bakhti

Chaouch

Makouf

et al. 2019

IJISE

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“…In recent years, a lot of investigations on PMSM drives using binary Hall sensors have been done and many speed/position estimation approaches ranging from modelfree and model-based have been extensively studied [12][13][14][15][16]. Most of the model-based methods exploit observer, or Kalman filter (KF) techniques.…”

Section: Introductionmentioning

confidence: 99%

Analysis and Design of Position and Velocity Estimation Scheme for PM Servo Motor Drive with Binary Hall Sensors

Yang

Odhano

et al. 2018

2018 IEEE Energy Conversion Congress and Exposition (ECCE)

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with the increasing demand of low-cost, highefficiency, high performance for AC motor drive system, the permanent-magnet synchronous motor (PMSM) with binary Hall sensors begins to be adopted in many fields. Compared with sensorless control, the usage of binary Hall sensors is a guarantee for the drive to achieve moderate control performance, and it is in smaller volume and more costeffective compared with other types of position sensors. In this paper, a solution is provided to realize fully-closed loop control with low-resolution position sensors, by treating the position and speed estimators as separate systems. Results reveal that the model-based methods can take advantage of model information and model-free methods can smoothly process the quantized Hall position signal. Extensive experiment results are provided demonstrating the position control performance and basic servo performance for a PMSM drive using 3 bitper-pole-pair sensing system.

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“…Since PMSMs generate magnetic field with permanent magnets (PMs) in the rotor, there is no heat generation, which results in high power factor and efficiency compared to other types of motors [1]. IPMSMs have an advantage of additional reluctance torque due to the salient rotor.…”

Section: Introductionmentioning

confidence: 99%

Sensorless Scheme for Interior Permanent Magnet Synchronous Motors with a Wide Speed Control Range

Hong¹,

Lee²,

Lee³

2016

Journal of Power Electronics

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Permanent magnet synchronous motors (PMSMs) have higher torque and superior output power per volume than other types of AC motors. They are commonly used for applications that require a large output power and a wide range of speed. For precise control of PMSMs, knowing the accurate position of the rotor is essential, and normally position sensors such as a resolver or an encoder are employed. On the other hand, the position sensors make the driving system expensive and unstable if the attached sensor malfunctions. Therefore, sensorless algorithms are widely researched nowadays, to reduce the cost and cope with sensor failure. This paper proposes a sensorless algorithm that can be applied to a wide range of speed. The proposed method features a robust operation at low-speed as well as high-speed ranges by employing a gain adjustment scheme and intermittent voltage pulse injection method. In the proposed scheme the position estimation gain is tuned by a closed loop manner to have stable operation in tough driving environment. The proposed algorithm is fully verified by various experiments done with a 1 kW outer rotor-type PMSM.

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Position Estimator Employing Kalman Filter for PM Motors Driven with Binary-type Hall Sensors

Cited by 5 publications

References 16 publications

Robust integral backstepping control with extended Kalman filter of permanent magnet synchronous motor

Robust integral backstepping control with extended Kalman filter of permanent magnet synchronous motor

Analysis and Design of Position and Velocity Estimation Scheme for PM Servo Motor Drive with Binary Hall Sensors

Sensorless Scheme for Interior Permanent Magnet Synchronous Motors with a Wide Speed Control Range

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