A Stator Flux Observer With Phase Self-Tuning for Direct Torque Control of Permanent Magnet Synchronous Motor

Lin, Xiaogang; Jiang, Wen; Jiang, Wen; Zhao, Yong; Zhu, Shanfeng

doi:10.1109/tpel.2019.2952668

Cited by 24 publications

(11 citation statements)

References 26 publications

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“…The torque control gain A has a complicated relationship with the permanent magnet flux. Since the torque angle  is generally small, it can be set to zero in the control system, then the torque control gain can be simplified as (20) For the PMSM used in this paper, the permanent magnet flux dominates the stator flux, thus the control gain is sensitive to the permanent magnet flux. On the other hand, the difference between the stator flux and the permanent magnet flux is small when the permanent magnet flux equals its nominal value, hence the control gain is insensitive to the d-and q-axis inductances.…”

Section: B the Effect Of The Mismatched Torque Control Gainmentioning

confidence: 99%

“…The closed-loop flux observer shows better robustness to parameter variations than the current model in the high-speed range and higher accuracy than the voltage model in the low-speed range [18], thus it can be used to realize wide-speed sensorless control [19]. In [20], a stator flux observer with phase self-tuning is proposed to improve the robustness of the sensorless control system to parameter variations. Since no high dynamic performance is required, the one-step delay in digital system is not considered.…”

mentioning

confidence: 99%

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Digital Implementation of Deadbeat-Direct Torque and Flux Control for Permanent Magnet Synchronous Machines in the M–T Reference Frame

Zuo

Mei

Jiang

et al. 2021

IEEE Trans. Power Electron.

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In the traditional deadbeat-direct torque and flux control in the M-T reference frame (DB-DTFC-MT) scheme, the stator flux is calculated with the current model, and one-step delay in the digital system is neglected, which results in poor robustness to parameter variations and a serious oscillation in both the stator flux and torque, especially in the low-speed range. In this paper, the digital implementation of DB-DTFC-MT is studied. Firstly, the DB-DTFC-MT scheme considering the one-step delay in the digital system is deduced. Secondly, digital stator flux observer and current observer are developed to predict the stator flux and current in the next sampling instant. By using the predicted stator flux and torque, the oscillation caused by the one-step delay is eliminated and real deadbeat control is realized. Moreover, the robustness of the system to parameter variations is qualitatively evaluated. Though the system shows some sensitivity to the permanent magnet flux, it has strong robustness to the stator resistance and inductances, especially the d-axis inductance. Hence, a larger estimated d-axis inductance can be used in the system for reducing the pulsation in the d-axis current when tracking sinusoidal torque. All the proposed control designs are validated on a real-time control platform based on dSPACE DS1103.

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Section: B the Effect Of The Mismatched Torque Control Gainmentioning

confidence: 99%

mentioning

confidence: 99%

Digital Implementation of Deadbeat-Direct Torque and Flux Control for Permanent Magnet Synchronous Machines in the M–T Reference Frame

Zuo

Mei

Jiang

et al. 2021

IEEE Trans. Power Electron.

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“…However, the PMSMs are typically strong coupling nonlinear system, which is easy to be affected by uncertain factors such as the change of motor parameters and external load disturbance in practical application. To achieve effective control of the nonlinear systems, many control strategies have been studied, for instance, sliding mode control (Barambones and Alkorta, 2014; Song et al, 2018; Yang et al, 2018; Zhu et al, 2020), direct torque control (Lin et al, 2020; Yip et al, 2020), adaptive control (Yu et al, 2020), backstepping control (Tong et al, 2011b; Yu et al, 2017), robust control (Liu et al, 2020; Zhang et al, 2020a), and so on.…”

Section: Introductionmentioning

confidence: 99%

Finite-time fuzzy dynamic surface control for permanent magnet synchronous motor stochastic systems with input constraint and load disturbance

Song

Zhao

et al. 2022

Transactions of the Institute of Measurement and Control

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In this paper, a finite-time adaptive fuzzy dynamic surface control (DSC) method is proposed for the position tracking control of permanent magnet synchronous motors (PMSMs) stochastic nonlinear system with input constraint and load disturbance. First, the stochastic disturbance of PMSMs is considered in operation, and the fuzzy control method is applied to cope with the stochastic nonlinear function in the motor model. Second, the DSC technique is applied to avoid the “explosion of complexity” in the backstepping design. Moreover, the finite-time control is applied to the stochastic nonlinear system of PMSMs to improve the convergence speed of the system, tracking accuracy, and anti-interference ability. Conclusive, simulation results are given to verify the method that can achieve fast tracking of the desired signal.

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“…Overall, the common difficulty for the flux-linkage-based SLC is that the rotor position estimation relies heavily on the accuracy of the estimated stator flux linkage magnitude and angle, which can be easily influenced by factors such as variation of resistance and potential nonlinearity with low B-EMF at high current. Hence, recent studies mostly focus on enhancing the accuracy of the stator flux linkage estimator [14], [15], [18], [26] rather than developing methods to reduce the dependence on stator flux linkage components (i.e., magnitude and phase angle) in SLC calculations.…”

Section: Introductionmentioning

confidence: 99%

A Novel Robust Sensorless Technique for Field-Oriented Control Drive of Permanent Magnet Synchronous Motor

2021

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This paper proposes a novel rotor position estimation technique based on stator flux linkage to implement robust sensorless field-oriented control for permanent magnet synchronous motor drives. The proposed method can accurately estimate rotor position by mitigating the dependence on quality of the magnitude and phase angle of the estimated stator flux linkage. A high-accuracy load angle calculation based on d-q-axis current estimation method is first developed for further rotor position determination. In the rotor position calculation, the reference flux linkage magnitude is used instead of the estimated one to avoid the influence of potential high noise levels during low speed operation. As a result, the rotor angle estimation depends only on the phase angle of stator flux linkage, without the effect of its magnitude. The estimation accuracy can thus be improved. Also, by employing a simple stator flux linkage phase lag compensator, the performance of the proposed sensorless method can be dramatically improved at low speed. Moreover, the problem of motor parameter variation (e.g., changes in winding resistance, stator inductances, and permanent magnetic flux linkage) has been analyzed and overcome. Finally, comparisons between conventional and proposed methods are presented with simulations and experiments to demonstrate the effectiveness and reliability of the proposed method.INDEX TERMS Sensorless, field-oriented control, permanent magnet motor drive, sensorless vector control, current estimation, rotor position estimation, load angle estimation.

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A Stator Flux Observer With Phase Self-Tuning for Direct Torque Control of Permanent Magnet Synchronous Motor

Cited by 24 publications

References 26 publications

Digital Implementation of Deadbeat-Direct Torque and Flux Control for Permanent Magnet Synchronous Machines in the M–T Reference Frame

Digital Implementation of Deadbeat-Direct Torque and Flux Control for Permanent Magnet Synchronous Machines in the M–T Reference Frame

Finite-time fuzzy dynamic surface control for permanent magnet synchronous motor stochastic systems with input constraint and load disturbance

A Novel Robust Sensorless Technique for Field-Oriented Control Drive of Permanent Magnet Synchronous Motor

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