Model predictive current control for PMSM considering trade-off between current ripple and number of switching operations

Tozawa, Satoshi; Zanma, Tadanao; Liu, Kang‐Zhi; Aoki, Yasukazu; Yoshida, Hideji

doi:10.1109/ascc.2015.7244653

Cited by 3 publications

(4 citation statements)

References 17 publications

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“…Model predictive control can be used as a torque control or as a current control scheme. e former is called model predictive torque control (MPTC) [29][30][31], and the latter is known as model predictive current control (MPCC) scheme [32][33][34][35][36][37][38]. MPTC has shown improved enactments in terms of current harmonics and torque ripples compared to DTC [39][40][41][42][43].…”

Section: Introductionmentioning

confidence: 99%

Current Control of Permanent Magnet Synchronous Motors Using Improved Model Predictive Control

Nawaz

Dou

Riaz

et al. 2022

Mathematical Problems in Engineering

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Model predictive control (MPC) is a powerful tool for the control of permanent magnet synchronous motors. However, conventional MPC permits using a single voltage vector during one control interval. This results in higher current distortions and large torque ripples. Sensitivity to control parameters is another issue associated with conventional MPC. The duty cycle suggests using an active vector and a null vector during one sampling interval. The method needs excessive computational and prediction effort. Furthermore, a necessary zero vector as the second vector might not give the optimal results. To overcome the problems of computational burden, this paper proposes that a reference voltage vector can be calculated and used to determine the voltage vector to be used for the next interval. This reduces the computational effort to a minimum. Furthermore, it is proposed that the second vector can either be active or null. To overcome the problem of parameter dependence, an electromotive force is calculated on basis of previous values. Simulations have been carried out to verify the efficacy of the proposed method.

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Section: Introductionmentioning

confidence: 99%

Current Control of Permanent Magnet Synchronous Motors Using Improved Model Predictive Control

Nawaz

Dou

Riaz

et al. 2022

Mathematical Problems in Engineering

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“…In this study, we propose a novel optimal voltage vector determination in dq ‐axis current control of the PMSM, considering the trade‐off between the torque ripple and the number of switching operations. A fundamental idea was introduced in [26] to address the trade‐off. In this study, we further investigate the tolerance bound for the torque ripple.…”

Section: Introductionmentioning

confidence: 99%

“…In our framework, the tolerance bounds for the dq ‐axis current references are introduced such that the torque ripple is admissible. Specifically, the admissible tolerance is determined using the maximum torque per ampere (MTPA) curve of the interior PMSM (IPMSM), which was not sufficiently discussed in [26]. Thus, the switching operations, equivalently the switching loss is reduced satisfying the admissible torque ripple.…”

Section: Introductionmentioning

confidence: 99%

Optimal voltage vector in current control of PMSM considering torque ripple and reduction of the number of switching operations

Zanma

Tozawa

Takagi

et al. 2020

IET Power Electronics

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This study presents a model predictive-based current control for permanent magnet synchronous motors (PMSMs). In the authors' proposed approach, a reference voltage to an inverter can be strictly treated as a discrete voltage vector so that the output saturation of the inverter is avoided. Various constraints can be also taken into consideration in their approach. Designing the band of frequency is incorporated into a single objective function. The effectiveness of the proposed method is verified through simulations and experiments. Nomenclature i dq = i d i q T dq-axis current vector, A v dq = v d v q T dq-axis voltage vector, V R dq-axis resistance, Ω L d , L q dq-axis winding inductances, H K e electromotive force constant, Vs P n number of pole pairs ω re electrical angular velocity of the rotor, rad/s θ re electrical angle of the rotor, rad

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“…Unlike the PWM, it can make the most of the DC‐link voltage in the VSI. However, its sampling (control period) has to be sufficiently small so that a fast and accurate current response is achieved with a low current ripple [18]. Therefore, the FCS‐MPC requires a high‐power computation device to find the optimal voltage vector in a considerably short sampling.…”

Section: Introductionmentioning

confidence: 99%

Optimal current control for PMSM considering inverter output voltage limit: model predictive control and pulse‐width modulation

Koiwa

Kuribayashi

Zanma

et al. 2019

IET Electric Power Applications

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Permanent-magnet synchronous motors have attracted much attention due to their high efficiency and high-torque density. For higher control performance, finite control set model predictive control (FCS-MPC) and continuous control set MPC (CCS-MPC) have been developed. However, the former requires high computing power, whereas inverter voltage saturation is not considered in the latter. Therefore, this study proposes an optimal current control law taking into consideration the inverter output voltage. The effectiveness of the proposed method is verified by comparison with the FCS-MPC and the standard CCS-MPC through experiments. Nomenclature i a , i b , i c stator phase current in the a-c frame i d , i q stator phase current in the d-q frame i d ref , i q ref stator reference phase current in the d-q frame v a , v b , v c stator phase voltage in the a-c frame v a ref , v b ref , v c ref stator reference phase voltage in the a-c frame v d , v q stator phase voltage in the d-q frame v d ref , v q ref stator reference phase voltage in the d-q frame R stator winding resistance L d , L q stator winding d-q axes inductances Φ f electromotive force constant ω re electric angular velocity of rotor θ re electric angle of rotor E dc DC-link voltage

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Model predictive current control for PMSM considering trade-off between current ripple and number of switching operations

Cited by 3 publications

References 17 publications

Current Control of Permanent Magnet Synchronous Motors Using Improved Model Predictive Control

Current Control of Permanent Magnet Synchronous Motors Using Improved Model Predictive Control

Optimal voltage vector in current control of PMSM considering torque ripple and reduction of the number of switching operations

Optimal current control for PMSM considering inverter output voltage limit: model predictive control and pulse‐width modulation

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