Correction on Current Measurement Errors for Accurate Flux Estimation of AC Drives at Low Stator Frequency

This paper proposes a back electromotive force estimation error compensation method for accurate rotor position estimation of surface mounted permanent magnet synchronous motors. When estimating the rotor position of surface mounted permanent magnet synchronous motor sensorless drives, a direct current offset error component occurs in the voltage sensor. As a result, the rotor position is distorted and the sensorless control in surface mounted permanent magnet synchronous motor is degraded. In addition, the dq-axis voltages in the synchronous reference frame have the direct current offset error component, ripples compared with the motor frequency under the distorted rotor position. In this paper, the effects of the direct current offset errors are analyzed based on the synchronous reference frame phase locked loop. To remove this direct current offset error component, a d-axis voltage is converted into a synchronous reference frame again to compensate. In other words, it is a dual synchronous coordinate conversion compensation method. The compensator utilizes a proportional-integral controller that compensates by estimating the direct current offset error component. The proposed method is useful for the improvement of surface mounted permanent magnet synchronous motor sensorless control and operating performance. The effectiveness of the proposed algorithm is verified through PSIM simulation and experimental results.

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“…Finally, the conventional method in [17][18][19] was compared with the proposed method. Fundamentally, the purpose of control is different.…”

Section: Resultsmentioning

confidence: 99%

“…The performance heavily depends on the accuracy of feedforward back-EMF voltage in the current controller and the controller bandwidth. In addition, it has the disadvantage that the convergence rate is quite slow [18].…”

Section: Back-emf-based Sensorless Methodsmentioning

confidence: 99%

A Back-EMF Estimation Error Compensation Method for Accurate Rotor Position Estimation of Surface Mounted Permanent Magnet Synchronous Motors

2017

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“…In view of the cogging effect caused by the PMSM manufacturing process, [6][7][8] 2 of 19 use iterative learning method to suppress the periodic disturbance of mechanical position, which obtain certain effect. For the influence of current detection error on the system, a measurement error observer is proposed in [9] for real-time observation and compensation. According to the dead time effect of the inverter, [10,11] provide a detailed analysis and compensation scheme.…”

Section: Introductionmentioning

confidence: 99%

High Precision Low-Speed Control for Permanent Magnet Synchronous Motor

Xia

Bao

2020

Sensors

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Due to the process defects and imperfection of drivers, permanent magnet synchronous motors (PMSM) are problematic to control. There is still a lack of effective high-performance control methods for inertial stabilized platforms based on PMSM currently. At present, the most frequently used method is sliding mode control (SMC), but traditional sliding mode control cannot overcome the contradiction between high performance and system chattering. In order to solve this problem and improve the system reliability and pointing accuracy, a new approach law for the sliding mode controller is proposed in this paper. In view of the large periodic torque ripple in PMSM, an iterative learning controller (ILC) is introduced to compensate for the disturbance. Based on these, aimed at suppressing all kinds of real-time disturbances in the working environment of the system, the extended state observer (ESO) is brought into the servo system to observe the lumped disturbance of the system, and the total disturbance observed is compensated into the sliding mode controller, so as to better suppress the system chattering and enhance the system’s ability of resisting external disturbance. Experiments are carried out on an inertial stabilization platform based on DSP + CPLD. The final experiments verify that the SMC with the new approach, combined with ILC and ESO, is of outstanding performance when compared with the traditional proportional integral (PI) + disturbance observer (DOB) control scheme.

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“…It is usually realized by using the current signals on the motor windings to estimate the rotor position information, which utilizes the characteristics of motor saliency or mathematical model. Therefore, in a manner of speaking, the accuracy of multiple current sensors determines the position estimation precision of sensorless estimation [22]. In [22], the author pointed out that the current measurement errors are the main source that causes the estimation error for stator model based flux estimator.…”

Section: Introductionmentioning

confidence: 99%

Detrimental Effect Elimination of Current Sensor Accuracy Uncertainty for High-Precision Position Sensorless Control of Interior Permanent Magnet Synchronous Motor Drives

Liu

et al. 2020

IEEE Trans. Ind. Electron.

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UoL), U.K. as an Honorary Academic Researcher. Currently, he is an Associate Research Fellow at the Department of Electrical Engineering, NWPU. His research interests include hybrid-fault-tolerant control techniques for permanent magnet synchronous motor drives, aging issue for motor drives and power electronics converters & control. Yihua Hu (M'13-SM'15) received the B.S. degree in electrical engineering in 2003, and the Ph.D. degree in power electronics and drives in 2011, both at

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Correction on Current Measurement Errors for Accurate Flux Estimation of AC Drives at Low Stator Frequency

Cited by 37 publications

References 18 publications

A Back-EMF Estimation Error Compensation Method for Accurate Rotor Position Estimation of Surface Mounted Permanent Magnet Synchronous Motors

A Back-EMF Estimation Error Compensation Method for Accurate Rotor Position Estimation of Surface Mounted Permanent Magnet Synchronous Motors

High Precision Low-Speed Control for Permanent Magnet Synchronous Motor

Detrimental Effect Elimination of Current Sensor Accuracy Uncertainty for High-Precision Position Sensorless Control of Interior Permanent Magnet Synchronous Motor Drives

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