Enhanced Robust Deadbeat Predictive Current Control for PMSM Drives

Yuan, Xin; Zhang, Shuo; Zhang, Chengning

doi:10.1109/access.2019.2946972

Cited by 46 publications

(40 citation statements)

References 26 publications

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“…Therefore, the conventional FCS-MPC, the proposed FCS-MPC and the DBCC based MPC are sensitive to the machine parameters, especially stator inductance and magnet flux [29]. The DBCC method also requires the stator resistance, inductance and magnet flux to calculate the current in next instant [35]. The mismatch of these parameters will cause prediction error.…”

Section: Experimental Performancesmentioning

confidence: 99%

An Indirect Reference Vector-Based Model Predictive Control for a Three-Phase PMSM Motor

Niu

Luo

et al. 2020

IEEE Access

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Almost all of the existing reference vector based finite control set-model predictive control (FCS-MPC) methods for electric machines adopt the deadbeat control principle to directly obtain the reference vector. This paper proposes a computationally efficient control approach for a three phase permanent magnet synchronous motor (PMSM) based on indirect reference vector without using the deadbeat control. Instead of calculating a virtual reference vector in the traditional manner using deadbeat control, the reference vector is innovatively determined through two two-level bang-bang comparators. To improve the performance of the machine, the sampling period is subdivided into two equal time intervals and total 20 synthesized voltage vectors are obtained. Nevertheless, there is no need to evaluate all the 20 vectors by excluding the inappropriate vectors in advance using the reference vector based method, thus reducing the computation time. Moreover, with this proposed method, the complicated calculation of reference vector is avoided. Simulation and experimental results are presented to prove the effectiveness of the proposed method.

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Section: Experimental Performancesmentioning

confidence: 99%

An Indirect Reference Vector-Based Model Predictive Control for a Three-Phase PMSM Motor

Niu

Luo

et al. 2020

IEEE Access

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“…Permanent magnet synchronous motors (PMSMs) have been widely employed in servo control systems, such as in electrical vehicles, numerical control machines, and robotic fields, owing to its advantages of high power density, low electric power loss, and small structural size [1][2][3][4]. However, parameter mismatching, nonlinearity of the controlled model, and uncertain disturbances inevitably exist in the PMSM servo system, which decreases the tracking performance and stability [5].…”

Section: Introductionmentioning

confidence: 99%

Torque Ripple Suppression of PMSM Based on Robust Two Degrees-of-Freedom Resonant Controller

Huang

Deng

et al. 2021

Energies

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This paper concentrates on a robust resonant control strategy of a permanent magnet synchronous motor (PMSM) for electric drivers with model uncertainties and external disturbances to improve the control performance of the current loop. Firstly, to reduce the torque ripple of PMSM, the resonant controller with fractional order (FO) calculus is introduced. Then, a robust two degrees-of-freedom (Robust-TDOF) control strategy was designed based on the modified resonant controller. Finally, by combining the two control methods, this study proposes an enhanced Robust-TDOF regulation method, named as the robust two degrees-of-freedom resonant controller (Robust-TDOFR), to guarantee the robustness of model uncertainty and to further improve the performance with minimized periodic torque ripples. Meanwhile, a tuning method was constructed followed by stability and robust stability analysis. Furthermore, the proposed Robust-TDOFR control method was applied in the current loop of a PMSM to suppress the periodic current harmonics caused by non-ideal factors of inverter and current measurement errors. Finally, simulations and experiments were performed to validate our control strategy. The simulation and experimental results showed that the THDs (total harmonic distortion) of phase current decreased to a level of 0.69% and 5.79% in the two testing environments.

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“…To solve the problem, some researchers have adjusted the sequence of voltage vector in each control cycle by using two adjacent active voltage-vectors with one zero-voltage-vector to improve the steady performance of stator current [9]. In [10][11][12][13], the disturbance observer, linear extended state observer and sliding mode observer have been used to eliminate the effect of the parameter mismatch. In addition, it is a very effective method that adding compensation term in the closedloop deadbeat control system to eliminate the static control error of stator current, such as adding an integral link in the deadbeat controller [14][15][16].…”

Section: Introductionmentioning

confidence: 99%

A novel deadbeat predictive current control of permanent magnet synchronous motor based on oversampling scheme

Wang

Xie

Jin

et al. 2021

IET Electric Power Appl

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When the speed of permanent magnet motor is relatively high, the fundamental frequency of stator voltage and current will rise. However, due to the limitation of switching frequency of power electronic devices, the switching times of power devices will be greatly reduced in a fundamental cycle of stator voltage. For the traditional control method with constant switching frequency mode, the control algorithm is executed only once in a carrier wave cycle, which will result in a low control frequency operating condition for the PMSM control system. At this time, the dynamic and steady-state control performance of stator current will be decreased. In response to above problem, this paper proposed a deadbeat predictive current control method based on oversampling scheme, which the core algorithm of current loop operated four times and updated the PWM duty twice in one switching cycle. The number of control times of the proposed method is greater than that of the conventional method when the conventional deadbeat method and the proposed method adopt the same switching cycle. Therefore, the control method does not increase the switching frequency of power devices, but improves the dynamic and stable performance of the system, especially under the highspeed condition.This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.

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Enhanced Robust Deadbeat Predictive Current Control for PMSM Drives

Cited by 46 publications

References 26 publications

An Indirect Reference Vector-Based Model Predictive Control for a Three-Phase PMSM Motor

An Indirect Reference Vector-Based Model Predictive Control for a Three-Phase PMSM Motor

Torque Ripple Suppression of PMSM Based on Robust Two Degrees-of-Freedom Resonant Controller

A novel deadbeat predictive current control of permanent magnet synchronous motor based on oversampling scheme

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