Zero Common-Mode Voltage Model Predictive Torque Control Based on Virtual Voltage Vectors for the Dual Three-Phase PMSM Drive

Yuan, Qingqing; Zhao, Renji; Xiao, Rongyan; Li, Yong

doi:10.3390/electronics11203293

Cited by 6 publications

(4 citation statements)

References 25 publications

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“…They can transform a significant portion of the electrical-energy input in chanical energy output due to their high efficiency. Because there are no brushes mutators to change, PMSMs require little maintenance [14]. They also have a In PMSMs, the rotor's permanent magnets may be either surface-mounted or internally buried [10].…”

Section: Overview Of Pmsmsmentioning

confidence: 99%

Identification of Parameters and States in PMSMs

Mercorelli

2023

Electronics

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This paper discusses the importance of accurately identifying the parameters and states in permanent magnet synchronous motors (PMSMs) and their impact on motor performance and efficiency. This study was conducted to demonstrate the significance of these parameters. The results showed that inaccurate identification of the friction coefficient and moment of inertia led to poor motor performance, instability, and reduced efficiency. Accurate identification of these parameters is necessary for the proper control and operation of PMSMs. This paper highlights the various methods for calculating the friction coefficient and moment of inertia, as well as their potential limitations. The findings of this study emphasize the importance of accurately identifying these parameters for the efficient and effective operation of PMSMs.

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Section: Overview Of Pmsmsmentioning

confidence: 99%

Identification of Parameters and States in PMSMs

Mercorelli

2023

Electronics

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“…Similarly, [10] constructs 12 VVV for harmonic suppression and further simplifies these 12 virtual vectors into 6 vectors for common mode voltage suppression. However, no further duty cycle calculation or multi-vector optimization is performed on the VVV.…”

Section: Introductionmentioning

confidence: 99%

Dual three-phase permanent magnet synchronous motors model predictive torque control based on zero common-mode voltage

Zhang,

Huang

2024

J. Phys.: Conf. Ser.

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This article proposes a multi-vector model predictive torque control strategy based on zero common-mode voltage to suppress common-mode voltage and harmonic currents in a dual three-phase permanent magnet synchronous motor. Firstly, 20 zero common-mode voltage vectors are selected from the traditional 64 basic voltage vectors. By synthesizing these 20 vectors into 6 virtual voltage vectors (VVV), control over the harmonic plane is achieved, reducing harmonic currents and eliminating common-mode voltage. Then, the control error of the flux is reduced by increasing the number of vectors to achieve the purpose of reducing the flux ripple. Finally, through duty cycle modulation, multi-vector model predictive torque control extends the modulation range to the entire sector plane. Simulation results confirm that this strategy can effectively suppress harmonic currents and common mode voltage.

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“…To improve steady-state performance and mitigate the influences of voltage vectors in the harmonic subspace, a concept of virtual voltage vector is proposed by means of voltage vector synthesis, and the duty cycle modulation is accordingly designed to generate pulses for dual three-phase permanent magnet synchronous motors (PMSMs) [9,10]. Later, the multivector MPC, combining two voltage vectors as outputs in each control cycle, is further developed to cope with the problem caused by the application of a single voltage vector [11].…”

Section: Introductionmentioning

confidence: 99%

Model-Free Predictive Current Control of Five-Phase PMSM Drives

Huang,

2023

Electronics

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Model predictive control is highly dependent on accurate models and the parameters of electric motor drives. Multiphase permanent magnet synchronous motors (PMSMs) contain nonlinear parameters and mutual cross-coupling dynamics, resulting in challenges in modeling and parameter acquisition. To lessen the parameter dependence of current predictions, a model-free predictive current control (MFPCC) strategy based on an ultra-local model and motor outputs is proposed for five-phase PMSM drives. The ultra-local model is constructed according to the differential equation of current. The inherent relation between the parameters in the predictive current model and the ultra-local model is analyzed in detail. The unknowns of the ultra-local model are estimated using the motor current and voltage at different time instants without requiring motor parameters or observers. Moreover, space vector modulation technology is employed to minimize the voltage tracking error. Finally, simulations and experiments are conducted to verify the effectiveness of the MFPCC with space vector modulation. The results confirm that the proposed method can effectively eliminate the impact of motor parameters and improve steady-state performance. Moreover, this control strategy demonstrates good robustness against load variations.

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Zero Common-Mode Voltage Model Predictive Torque Control Based on Virtual Voltage Vectors for the Dual Three-Phase PMSM Drive

Cited by 6 publications

References 25 publications

Identification of Parameters and States in PMSMs

Identification of Parameters and States in PMSMs

Dual three-phase permanent magnet synchronous motors model predictive torque control based on zero common-mode voltage

Model-Free Predictive Current Control of Five-Phase PMSM Drives

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