Compensation Method of Position Signal Error with Misaligned Hall-Effect Sensors of BLDC Motor

Park, Joon Sung; Choi, Jun Hyuk; Lee, Ju

doi:10.5370/jeet.2016.11.4.889

Cited by 24 publications

(6 citation statements)

References 14 publications

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“…In the classic control system of the BLDC motor, the speed value can be averaged and corrected by special algorithms [2], [4], [12], but the switching of the inverter transistors depends only on the signals generated by the Hall sensors. When this element is made with insufficient precision, it often turns out that the only method to ensure the correct operation of this system is to control the BLDC drive without the use of sensors, or to use an additional element determining the position of the motor shaft (for example, position encoders).…”

Section: Computation Of Commutation Points Of Transistors Based On Motor Shaft Speedmentioning

confidence: 99%

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Improved Sensor Control Method for BLDC Motors

Kolano

2019

IEEE Access

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The article proposes the replacement of the classic control method of systems with BLDC motor sensors to a system where the inverter switching points are determined by means of a switching estimation algorithm. The switching points are calculated by a microcontroller in accordance with the Hall sensors' switching signals, but can be tuned using an external optimization algorithm. This method of controlling a BLDC motor allows us to use a correction algorithm that significantly improves the commutation of BLDC drives with unbalanced Hall sensors. Both the computation of the sensor's misalignment and the proposed method of correction were developed by the author to improve the functionality of drive systems with BLDC motors with closed-loop speed control. The use of this technique yielded very good results in both static and dynamic states. In addition, it made it possible to precisely influence the motor's commutation angle, which can minimise the production costs of such machines by foregoing the need to provide mechanical elements to move the sensors relative to the rotor axis. The article presents the results of work carried out on a laboratory bench built for this purpose.

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Section: Computation Of Commutation Points Of Transistors Based On Motor Shaft Speedmentioning

confidence: 99%

“…The course of the electromotive force is independent of the sensor placement error and, at higher speeds, can be measured by the control system. This information is confronted with the signals generated by the Hall sensors, and the sensor placement error is determined as a result of this confrontation [12].…”

Section: Introductionmentioning

confidence: 99%

Improved Sensor Control Method for BLDC Motors

Kolano

2019

IEEE Access

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“…Eleven characteristic parameters were chosen as indicators to evaluate deviations. Mengji Zhao [ 17 ] discussed that, when controlling a PMSM using position information from 3-phase Hall sensors with positional deviation, the motor’s phase current waveform might showcase certain harmonic orders. To resolve this, a Luenberger observer was designed to rectify the sensor’s positional deviation.…”

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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“…Consequently, performance degradation and even system damage can be taken place. Hence, research of fault detection, identification, and related compensation methods for Hall sensor defection or installation error have been brought into focus [19,[27][28][29][30][31][32]. In [27], authors analyse the performance degradation of the BLDC while Hall sensor faults happened.…”

Section: Introductionmentioning

confidence: 99%

Rapid estimation and compensation method of commutation error caused by Hall sensor installation error for BLDC motors

Yao

Zhao

et al. 2019

IET Electric Power Applications

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Hall sensors provide significant commutation signals for brushless DC (BLDC) motors. However, installation errors of Hall sensors are almost inevitable for BLDC motors, which can lead to commutation errors, further current ripples and torque ripples. Meanwhile, abnormal diode conducting in inactive phase can be aroused by large commutation errors at high speed. Therefore, the commutation errors make a negative influence on motor efficiency and degrade the performance of BLDC motors. Here, a simple and fast method to estimate the commutation error is proposed. Based on the analysis of the commutation process under commutation error, only the turn-off phase current at the commutation instant is required for the estimation of delayed commutation error, while only the time interval of the turn-off phase current decreasing to zero after commutation instant is needed when advanced commutation occurs. In order not to affect the dynamic performance of a BLDC motor, this study utilises a straightforward compensating method of commutation error. The experimental results represent that the proposed method is effective at different speeds, load torques, and under load-variation with good transient performance.

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Compensation Method of Position Signal Error with Misaligned Hall-Effect Sensors of BLDC Motor

Cited by 24 publications

References 14 publications

Improved Sensor Control Method for BLDC Motors

Improved Sensor Control Method for BLDC Motors

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

Rapid estimation and compensation method of commutation error caused by Hall sensor installation error for BLDC motors

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