Enhanced Finite-Control-Set Model Predictive Flux Control of Permanent Magnet Synchronous Machines With Minimum Torque Ripples

Song, Zhanfeng; Ma, Xiaohui; Zhang, Ran

doi:10.1109/tie.2020.3018051

Cited by 14 publications

(12 citation statements)

References 29 publications

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“…In the traditional predictive flux control, the stator flux vector reference is calculated by Equations ( 9)- (11). It is known that the stator flux vector reference depends on the parameters of the PMSM.…”

Section: Design Of the Speed Loop Of Hfp-pfcmentioning

confidence: 99%

“…Step II: the electromagnetic torque reference is calculated by Figure 6, and the stator flux vector reference ψ * s is calculated according to Equations ( 9)- (11).…”

Section: The Detailed Block Diagrammentioning

confidence: 99%

“…Þ can be calculated by Equation (10), where θ r k þ 1 ð Þ is the rotor position angle at k + 1 time. Because the mechanical time constant is much larger than the electrical time constant, θ r k þ 1 ð Þ can be obtained by Equation (11).…”

Section: Predictive Flux Controlmentioning

confidence: 99%

“…In order to overcome the difficulty of the weight factor setting in the model predictive torque control, some scholars proposed the predictive flux control of the PMSM or the induction motor [9,10]. The predictive flux control takes the stator flux vector as the control variable and the difference between the reference value and the predicted value of the stator flux vectors as the designed cost function, so there are no weight factors for this cost function [11]. In [12], a model predictive flux control for the induction machine is proposed instead of the conventional model predictive torque control, where the weighting factor is eliminated and the complexity is significantly reduced.…”

Section: Introductionmentioning

confidence: 99%

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Hybrid flux predictor‐based predictive flux control of permanent magnet synchronous motor drives

Cao

2021

IET Electric Power Appl

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In the field of a model predictive control of a permanent magnet synchronous motor (PMSM), the predictive flux control (PFC) has received great attention, which only takes the stator flux vector as the control variable instead of the electromagnetic torque and the stator flux amplitude. Because PFC does not involve the cumbersome setting of weight factors, it is a promising control algorithm. However, the prediction of the stator flux vector depends on motor parameters, which inevitably reduces the robustness of the control system. In order to solve this problem, this paper proposes a hybrid flux predictor-based predictive flux control of PMSM drives. The proposed stator flux predictor combines the voltage prediction model and the current prediction model, and the proportional-integral regulator is utilised to control the switching between the two prediction models. Experimental results show that the proposed algorithm has better dynamic, steady-state and robust performances than the traditional predictive flux control.

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Section: Design Of the Speed Loop Of Hfp-pfcmentioning

confidence: 99%

“…Step II: the electromagnetic torque reference is calculated by Figure 6, and the stator flux vector reference ψ * s is calculated according to Equations ( 9)- (11).…”

Section: The Detailed Block Diagrammentioning

confidence: 99%

Section: Predictive Flux Controlmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Hybrid flux predictor‐based predictive flux control of permanent magnet synchronous motor drives

Cao

2021

IET Electric Power Appl

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“…Other researchers attempted to ensure selecting the optimal switching pulse that reduces both the torque and flux ripple using the model predictive control (MPC) solution [19], [20]. MPC uses the machine model to predict the torque and flux trajectories under all admissible voltage vectors, and the optimal options are selected based on a costfunction evaluation.…”

Section: Introductionmentioning

confidence: 99%

Performance Prediction of Direct Torque-Controlled PMSM Drives Considering Different Pulse Selectors Using FEA-Based Model

Nasr,

Gu,

et al. 2023

IEEE Open J. Power Electron.

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Despite the robustness and fast dynamic response, direct torque control (DTC) exhibits relatively large ripples in torque and flux during steady-state operation. Mitigating these ripples depends on designing a pulse selector to identify the optimal voltage vector at every control cycle, which has been reported with different structures in the literature. Hence, it is becoming increasingly crucial to comprehensively understand the criteria used in pulse selection and analyze their impact on the overall DTC performance. These are challenging in permanent magnet synchronous motor (PMSM) drives due to the nonlinear torque/current characteristics and spatial harmonics of the magnetic flux. This paper exploits the high fidelity and computational efficiency of the finite-element analysis (FEA)-based model to present a performance prediction strategy for DTC of PMSM under different pulse selectors. First, this model is employed to thoroughly analyze the influence of each switching pulse on the torque and flux deviations under changing operating conditions considering the machine's nonlinearities. Then, the pulse selection schemes used in switching-table-based DTC are comparatively evaluated, highlighting the advantages and limitations of each. Based on this evaluation, an advanced pulse selector with a variable-structure switching table (VSST) is developed, reducing torque/flux ripples and simplifying the control implementation while maintaining the fast dynamic response of DTC.INDEX TERMS Direct torque control (DTC), finite-element analysis (FEA), permanent magnet synchronous motor (PMSM), pulse selection, torque ripple.

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An enhanced direct torque control strategy with composite controller for permanent magnet synchronous motor

Le,

Hsieh

2024

Asian Journal of Control

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Direct torque control (DTC) based on sliding mode control (SMC) has been widely applied to permanent magnet synchronous motor (PMSM) drives for torque ripple reduction and flux tracking. However, the control performance may be degraded due to disturbances such as variations in motor parameters or uncertainties. In this paper, a DTC strategy with an improved composite SMC controller is proposed for the PMSM drive system to enhance its performance under various disturbances. The speed controller is first designed based on a proposed adaptive reaching law (ARL) to eliminate chattering that appears in the conventional SMC, accelerate convergence, improve tracking performance, and reduce torque ripples. Then, an enhanced extended sliding mode disturbance observer (E2SMDO) is developed to estimate the lumped disturbances of the PMSM drive system in real time and compensate for a feedforward to the speed controller. By combining the ARL and E2SMDO, a composite controller (denoted ARL + E2SMDO) is established, whose stability is proven through the Lyapunov theory. The effectiveness of the proposed method is validated by simulations and experiments. The results of both simulations and experiments demonstrate that the composite ARL + E2SMDO controller has a fast dynamic response, reduced torque ripples, strong robustness, and good anti‐disturbance compared to other conventional methods.

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Enhanced Finite-Control-Set Model Predictive Flux Control of Permanent Magnet Synchronous Machines With Minimum Torque Ripples

Cited by 14 publications

References 29 publications

Hybrid flux predictor‐based predictive flux control of permanent magnet synchronous motor drives

Hybrid flux predictor‐based predictive flux control of permanent magnet synchronous motor drives

Performance Prediction of Direct Torque-Controlled PMSM Drives Considering Different Pulse Selectors Using FEA-Based Model

An enhanced direct torque control strategy with composite controller for permanent magnet synchronous motor

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