Two-Stage Series Model Predictive Torque Control for PMSM Drives

Zhang, Xiaoguang; Yan, Kang; Cheng, Ming

doi:10.1109/tpel.2021.3075711

Cited by 22 publications

(13 citation statements)

References 29 publications

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“…In the 16 s ∼ 19 s time period after loading steady state, the torque ripple root mean square of the improved three-vector MPTC algorithm is 0.115, which is 2.5% lower than that of the traditional MPTC algorithm, which is 0.119. Compared with the traditional MPTC algorithm, the improved MPTC control strategy can accurately judge the predicted value of torque and flux linkage prediction by using formula (9) and effectively reduce the torque ripple.…”

Section: Improved Algorithm Comparison Experimentsmentioning

confidence: 99%

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Improved Three Vector Model Predictive Torque Control of PMSM

Xiao¹,

Li²,

Luo³

et al. 2022

PIER M

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To reduce the computational complexity of traditional model predictive torque control (MPTC) and improve the sensitivity of predictive control to disturbances, an improved three vector model predictive control strategy applied in permanent magnet synchronous motor (PMSM) is proposed. First, the principle of deadbeat synchronization between torque and flux linkage is adopted to reduce six candidate vectors in traditional torque prediction to two, and the cost function is designed to select the optimal voltage vector. In addition, disturbance observation compensation is introduced to compensate for the influence of load disturbance on the control performance of the predictive model. As experimental results show, the proposed three-vector model predictive torque control can obtain small torque ripple and current harmonics both in steady state and dynamic state.

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Section: Improved Algorithm Comparison Experimentsmentioning

confidence: 99%

“…MPTC model predictive torque control is divided into single vector [8], double vector [9], and three vectors [11][12][13][14] according to the number of voltage vectors acting in a single control cycle. Single vector control is simple, but with larger torque ripple.…”

Section: Introductionmentioning

confidence: 99%

Improved Three Vector Model Predictive Torque Control of PMSM

Xiao¹,

Li²,

Luo³

et al. 2022

PIER M

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show abstract

“…MPC method consists of model predictive torque control (MPTC) and model predictive current control (MPCC) [11][12][13]. The strategy of MPTC demands simultaneous consideration of the prediction and control of torque and flux linkage in the motor system.…”

Section: Introductionmentioning

confidence: 99%

Simple Robust Model Predictive Current Control for PMSM Drives Without Flux-Linkage Parameter

Zhang

Wang

2023

IEEE Trans. Ind. Electron.

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The model predictive control (MPC) has its superiorities on simple algorithm and exceptional dynamic performance. However, the mismatch of the model parameters will strongly affect the control performance on MPC, and will also cause currents error in prediction. Aiming to enhance the robustness of MPC while eliminating the predicted current error under parameters mismatch, in this paper, a simple robust MPC method is put forward. In the proposed control strategy, accurate inductance information can be extracted simply by designing a discrete integral controller based on the predicted current error of d-axis. Moreover, two methods are proposed to deduce the gain coefficient of integration controller theoretically. Furthermore, in the new current prediction model, the flux linkage parameter has been replaced by the extracted accurate inductance information. This indicates that the flux linkage parameter has been removed from the model of current prediction. Since the resistance does not have much influence on the accuracy of the current prediction model, the inductance parameter becomes the only factor that predominantly affects the accuracy of the current prediction model. Finally, the experimental results prove the effectiveness of the proposed method.

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“…In Ref. [20], the cost function is designed to contain the error of active and reactive torque based on the instantaneous power theory. In Refs.…”

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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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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Two-Stage Series Model Predictive Torque Control for PMSM Drives

Cited by 22 publications

References 29 publications

Improved Three Vector Model Predictive Torque Control of PMSM

Improved Three Vector Model Predictive Torque Control of PMSM

Simple Robust Model Predictive Current Control for PMSM Drives Without Flux-Linkage Parameter

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

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