A Novel Torque Boundary-Based Model Predictive Torque Control for PMSM Without Weighting Factor

Ma, Chenwei; Yao, Xuliang; Li, Huayu; Vansompel, Hendrik; Garcia, Cristian; Rodríguez, José; Belie, Frederik De

doi:10.1109/jestpe.2020.3039687

Cited by 20 publications

(2 citation statements)

References 30 publications

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“…With the wide variety of criteria used for pulse selection in DTC and the corresponding objectives, it is becoming increasingly crucial to comprehensively analyze their impact on control performance. A machine model with several simplifying assumptions has been employed in the aforementioned literature (such as [15], [16], [18], [26], [27]) to investigate the effect of each switching pulse on the torque and flux modulus, then to predict the control performance under the presented pulse selector. This model fails to accurately represent the dynamic behavior of PMSM because of the nonlinear torque-current characteristics and rotor position-dependent variation in the magnetic energy that results in flux harmonics and cogging effects [34].…”

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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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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“…The proposed scheme becomes more complicated when the switching frequency term is involved in the objective function. Authors in [26] propose a novel boundary-based method for FCS-MPC without weighting factor. The torque boundaries are optimized online to monitor the number of valid vectors.…”

mentioning

confidence: 99%

Cooperative Decision-Making Approach for Multiobjective Finite Control Set Model Predictive Control Without Weighting Parameters

Xie

Novak

Wang

et al. 2024

IEEE Trans. Ind. Electron.

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Finite control set model predictive control (FCS-MPC) has gained increasing popularity as an emerging control strategy for electrical drive systems. However, it is still a challenging task to optimize weighting parameters, as multiple objectives are involved in the customized cost function. A cooperative decision-making approach for FCS-MPC is proposed in this article, to solve the optimization problems with manifold control objectives. By splitting the cost function, the optimization problem underlying multi-objective FCS-MPC is separated into a series of decomposed optimization problems. By doing so, the dimension of the decomposed problem is reduced to one. To collect the information for decision-making, an efficient sorting algorithm is applied for each control objective. The theory behind the cooperative decision-making approach is comprehensively analyzed, to validate both the effectiveness and efficiency of the proposed scheme. More specifically, the highlight is the adaptive mechanism on the number of desired candidates, to obtain a decent performance for torque and flux. The candidate which minimizes the switching frequency is selected as the optimal. The proposed scheme is experimentally verified and compared with the existing FCS-MPC without weighting parameters.

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A novel weighting factor determined method of model predictive torque control for permanent magnet synchronous motor

Yang,

Wang,

Miao

et al. 2024

IET Electric Power Appl

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In the cost function of model predictive torque control (MPTC) of permanent magnet synchronous motor (PMSM), torque and flux linkage have different dimensions, and the weighting factor needs to be properly adjusted to optimise the control performance. Therefore, based on the discrete mathematical model of PMSM, the torque predictive error and flux predictive error expressions are mapped to the two‐phase static coordinate system, which is equivalent to the distance expressions from the endpoint of the voltage vector to the straight line and to the circle respectively. Because they have the same dimension, they can be directly superimposed to form the cost function proposed, which eliminates the selection process of the weighting factor. Then, the candidate voltage vector is substituted into the cost function in turn, and the optimal voltage vector with the minimum cost function is selected as the voltage input of the next control cycle. Finally, the simulation model and an experimental platform are established to compare the steady‐state and dynamic performance of the geometric solution‐based weighting factor determined method proposed with other MPTC methods.

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A Novel Torque Boundary-Based Model Predictive Torque Control for PMSM Without Weighting Factor

Cited by 20 publications

References 30 publications

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

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

Cooperative Decision-Making Approach for Multiobjective Finite Control Set Model Predictive Control Without Weighting Parameters

A novel weighting factor determined method of model predictive torque control for permanent magnet synchronous motor

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