Observer Based Improved Position Estimation in Field-Oriented Controlled PMSM with Misplaced Hall-Effect Sensors

Zhao, Mengji; An, Quntao; Chen, Chang; Cao, Fang; Li, Siwen

doi:10.3390/en15165985

Cited by 10 publications

(3 citation statements)

References 28 publications

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“…The effectiveness of this method was validated at a lower speed of 1200 rpm. Joon Sung Park [ 18 ], in his approach, calculated the angle difference between the edges of the 3-phase Hall sensor signals to gauge the relative positional deviation. Using the direct detection method of terminal voltage, the zero-crossing point of the BEMF was obtained.…”

Section: Introductionmentioning

confidence: 99%

A Sage–Husa Prediction Algorithm-Based Approach for Correcting the Hall Sensor Position in DC Brushless Motors

Wang

Yong

Yin

2023

Sensors

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Accurate knowledge of the rotor position is essential for the control of brushless DC motors (BLDCM). Any deviation in this identification can cause fluctuations in motor current and torque, increase noise, and lead to reduced motor efficiency. This paper focused on a BLDCM equipped with a three-phase binary Hall sensor. Based on the principle of minimum deviation, this paper estimated the relative installation offset between the Hall sensors. It also provided a clear method for ideal phase commutation position recognition and eliminated the Hall sensor installation position deviation. The proposed pre-calibration method identified and eliminated the offset of the permanent magnet poles, the delay time caused by the Hall signal conditioning circuit, and the offset of the sensor signal identification due to armature response under different loads. Based on the pre-calibration results, a correction strategy for correcting the rotor position information of BLDCMs was proposed. This paper presented a self-adaptive position information prediction algorithm based on the Sage–Husa method. This filters out rotor position information deviations that are not eliminated in pre-calibration. Experimental results on a hydrogen circulation pump motor showed that, after the pre-calibration method was adopted, the Mean Square Error (MSE) of motor speed fluctuations decreased by 92.0%, motor vibration was significantly reduced, average phase current decreased by 62.8%, and the efficiency of the hydrogen circulation pump system was significantly improved. Compared to the traditional KF prediction algorithm, the Sage–Husa adaptive position information prediction algorithm reduced the speed fluctuation during the uniform speed operation stage and speed adjustment stage, the speed curve overshoot, and the commutation time deviation throughout the process by 44.8%, 56.0%, 54.9%, and 14.7%, respectively. This indicates a higher disturbance rejection ability and a more accurate and stable prediction of the commutation moment.

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Section: Introductionmentioning

confidence: 99%

A Sage–Husa Prediction Algorithm-Based Approach for Correcting the Hall Sensor Position in DC Brushless Motors

Wang

Yong

Yin

2023

Sensors

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“…In that paper, the harmonics in the back electromotive force (EMF) was filtered out by a multi-proportional resonant filter instead of a low-pass filter. The rotor position estimation method presented in [27] utilizes a dual Luenberger observer. The general structure of the control system in [27] is based on the cascaded PI-PI control scheme.…”

Section: Introductionmentioning

confidence: 99%

“…The rotor position estimation method presented in [27] utilizes a dual Luenberger observer. The general structure of the control system in [27] is based on the cascaded PI-PI control scheme. A composite nonlinear speed controller was proposed in [28] to regulate the speed of a PMSM.…”

Section: Introductionmentioning

confidence: 99%

A Practical Disturbance Rejection Control Scheme for Permanent Magnet Synchronous Motors

Suleimenov

Duc

2022

Symmetry

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This paper proposes a novel disturbance rejection control scheme for permanent magnet synchronous motor (PMSM) drives. Based on the framework of modified disturbance observer (DOB)-based control, the final topology of the proposed disturbance rejection proportional–integral (DR-PI) controller includes a pre-filter and a controller in a proportional–integral (PI) form. The proposed DR-PI control scheme is practical with a straightforward gain tuning rule. Note that the gain selection method is the main issue of not only conventional PI controllers but also advanced methods such as DOB-based controllers. In addition, by starting from the framework of modified DOB, this paper also proves that the PI controller with an pre-filter possesses a disturbance rejection ability similar to a DOB-based control method. To the best of our knowledge, this is the first time that such a simple and effective PI controller is designed for the speed control of PMSMs as well as theoretically proven to have a perfect disturbance rejection ability. This paper shows the steps of selecting the parameters of the proposed controller in terms of the parameters of a desired plant model, disturbance observer and compensator. Hence, unlike a traditional DOB case, in this approach, one can simultaneously tune the controller and observer at the same time. The appearance of the pre-filter from the modified DOB scheme solves an overshoot problem, thus the general motor operation is significantly improved, which is validated by experiments. The experimental evidence under two scenarios of load torque change and speed change prove the effectiveness of the proposed method compared to conventional PI and DOB control (DOBC) schemes. All the experiments were implemented on a 300 W PMSM of a setup manufactured by Lucas-Nuelle GmbH with a digital signal processor.

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A Quadratic Observer for Sensorless Drive System Controller

Hafid¹,

Ziani

Youssef³

2023

Lecture Notes in Networks and Systems

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Observer Based Improved Position Estimation in Field-Oriented Controlled PMSM with Misplaced Hall-Effect Sensors

Cited by 10 publications

References 28 publications

A Sage–Husa Prediction Algorithm-Based Approach for Correcting the Hall Sensor Position in DC Brushless Motors

A Sage–Husa Prediction Algorithm-Based Approach for Correcting the Hall Sensor Position in DC Brushless Motors

A Practical Disturbance Rejection Control Scheme for Permanent Magnet Synchronous Motors

A Quadratic Observer for Sensorless Drive System Controller

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