A Predictive Torque Control Method for Dual Three-Phase Permanent Magnet Synchronous Motor Without Weighting Factor

Zhang, Zhifeng; Sun, Quanzeng; Di, Qishen; Wu, Yue

doi:10.1109/access.2021.3104301

Cited by 10 publications

(4 citation statements)

References 37 publications

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“…Based on the numerical relationship between E ( k ), E ( k + 2) n and the torque error band T band , the operating state of system is divided into four states [23], and then the dynamic and steady‐state control schemes are formulated and implemented, respectively.…”

Section: The Proposed Fcs‐mptc Considering System Dynamic and Steady‐...mentioning

confidence: 99%

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Finite Control Set Model Predictive Torque Control Considering Dynamic and Steady‐State Control Performance for SMPMSM Drives

Zhou

Yang

et al. 2023

IEEJ Transactions Elec Engng

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In order to improve the dynamic and steady-state performance of the finite control set model predictive torque controlled surface-mounted permanent magnet synchronous motor drive system, a novel finite control set model predictive torque control (FCS-MPTC) with different dynamic and steady-state control schemes is proposed in this paper. When the SMPMSM drive system operates at transient state, the optimal basic voltage vector of inverter is the vector that minimizes torque tracking error, the proposed FCS-MPTC achieves fast dynamic response based on the optimal torque control. When the system operates at steady state, the relative importance of torque to the stator flux amplitude is calculated based on the quantitative analysis of minimum staggered errors between motor torque and stator flux amplitude control objectives, then the priority weighting factors based on the relative importance are determined online adaptively, the optimal control of motor torque and stator flux amplitude is achieved simultaneously. Finally, the comparison of the experimental results of proposed FCS-MPTC with different control methods is implemented and research conclusion is shown.

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Section: The Proposed Fcs‐mptc Considering System Dynamic and Steady‐...mentioning

confidence: 99%

“…As shown in Ref. [23], the operating state of system is divided into four states based on torque deviation of two adjacent moments. The cost function is two independent cost functions of torque and stator flux amplitude.…”

Section: Introductionmentioning

confidence: 99%

Finite Control Set Model Predictive Torque Control Considering Dynamic and Steady‐State Control Performance for SMPMSM Drives

Zhou

Yang

et al. 2023

IEEJ Transactions Elec Engng

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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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“…It can effectively suppress torque ripple and magnetic chain ripple problems, but the weighting factors for magnetic chain and torque in the cost function are difficult to determine. In [26], an MPTC, with virtual vectors and different cost functions attained according to the torque state of the system at two adjacent moments, is built to reduce harmonic currents and solve the difficulty of determining the weighting coefficients in the cost function. But this MPTC slightly increases the torque ripple.…”

Section: Introductionmentioning

confidence: 99%

Model predictive current control for dual three-phase PMSM with hybrid voltage vector

Cai

Yang

Chai

et al. 2022

IEICE Electron. Express

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To improve the steady-state performance of the dual three-phase permanent magnet synchronous motor with high torque ripple and high harmonic current, this paper proposes a hybrid voltage vector model predictive current control algorithm (MPCC). Firstly, based on the virtual voltage vectors synthesized using the vector characteristics of the fundamental and harmonic subspaces, hybrid voltage vectors are synthesized from the virtual voltage vectors and the zero vector to increase the voltage vector amplitude range to reduce torque ripple and to suppress harmonic currents. Then a vector selection method is proposed to reduce the number of alternative vectors and the calculation burden of the MPCC. Finally, the realization of corresponding PWM modulation is given. The simulation results show that the method effectively suppresses harmonic currents and torque ripple and increases the steady-state performance of the motor.

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A Predictive Torque Control Method for Dual Three-Phase Permanent Magnet Synchronous Motor Without Weighting Factor

Abstract: This paper is sponsored by the National Natural Science Foundation of China (No.61603263) "Study on fault diagnosis and fault-tolerant control of multi-phase motor drive control system for electric vehicle".

Cited by 10 publications

References 37 publications

Finite Control Set Model Predictive Torque Control Considering Dynamic and Steady‐State Control Performance for SMPMSM Drives

Finite Control Set Model Predictive Torque Control Considering Dynamic and Steady‐State Control Performance for SMPMSM Drives

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

Model predictive current control for dual three-phase PMSM with hybrid voltage vector

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