Model Predictive Torque Control of a Hybrid Excited Axial Field Flux-Switching Permanent Magnet Machine

Jing, Zhao; Quan, Xiaowei; Lin, Mingyao

doi:10.1109/access.2020.2973360

Cited by 9 publications

(14 citation statements)

References 32 publications

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“…High power density, high efficiency, sinusoidal waveform back electromotive force (EMF), flux weakening capability, and good cooling are the advantages of this type of machine. 12,13 However, because of doubly salient construction and the high flux density caused by the flux focusing effects, the cogging torque of the AFFSPM machine is higher than the classical PM one. 14 Compared to the slotted AFPM machines, the coreless stator brings additional advantages because of eliminating stator core and stator iron losses from the machine.…”

Section: Introductionmentioning

confidence: 99%

A coreless axial flux‐switching generator for micro‐wind turbine application

Dehshiri

Ketabi

2022

Energy Science & Engineering

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The efficiency, power density, and torque of axial flux generators are higher than those of radial flux generators. In this paper, a new axial flux switching generator with a coreless stator is designed for micro wind turbine applications. Generator parts are designed based on nominal values, and their dimensions are determined. Cogging torque is an undesired torque ripple intrinsic in the design of a permanent magnet generator, which should be minimized due to its effects: vibration and noise. In addition, since aerodynamic power is low during start-up at low wind speeds, the cogging torque must be as low as possible to achieve a low cut-in speed. The design, optimization, and fabrication of a new coreless axial flux-switching generator for micro-wind turbine application are investigated and compared with the conventional one. The prototype machine is an axial-field flux-switching permanent magnet generator with a two-rotor-one-stators configuration. The stator of the proposed generator is made up of coils and magnets and has no iron core. First, the generator's design to reduce cogging torque is investigated using nominal values, and the dimensions of the various parts of the generator are calculated according to these values. Then the designed generator was simulated three-dimensionally using the FEM. Finally, a prototype of the desired generator is built. Comparing the results obtained from the finite element method and laboratory testing shows that these results are broadly consistent.

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Section: Introductionmentioning

confidence: 99%

A coreless axial flux‐switching generator for micro‐wind turbine application

Dehshiri

Ketabi

2022

Energy Science & Engineering

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“…In recent years, the model predictive current control (MPCC) has drawn significant attention because of its simple design, multivariable control, high dynamic performance, and nonlinear control flexibility [1][2]. Together with the model predictive torque control (MPTC) [3], it is one of the two known model predictive control (MPC) methods. Thanks to the high speed of microcontrollers, the MPCC has established itself as an excellent tool in power converters and various motor drive systems, including the widely known synchronous reluctance motors (SynRM).…”

Section: Introductionmentioning

confidence: 99%

Model-Free Predictive Current Control for SynRM Drives Based on Optimized Modulation of Triple-Voltage-Vector

Agustin

Yu²,

Cheng

et al. 2021

IEEE Access

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A model-free predictive current control for synchronous reluctance motor drives based on triple-voltage-vector with optimized duty ratio modulation is presented in this paper. The proposed scheme introduces an effective and low complexity strategy of selecting candidate voltage vectors to largely reduce computational loadings. First, the basic voltage vectors are organized to apportion six regions, representing six composite switching modes. Each region comprises two active voltage vectors and a zero voltage vector modulated by distinct duty ratios. The scheme starts from the selection of an initial basic voltage vector corresponding to a predefined cost function. The second candidate voltage vector then follows, which is chosen from the region adjacent to the initial one. The third vector is a default zero voltage vector. As a result, voltage vectors outside the selected regions are excluded from the process. Moreover, the adjustable feature makes the optimization of duty ratios adaptive. Finally, the proposed method is experimentally put to tests under various operating conditions utilizing the synchronous reluctance motor drives. Experimental results are presented to demonstrate the effectiveness of the proposal. INDEX TERMSModel predictive current control, model-free predictive current control, optimal duty ratio modulation, synchronous reluctance motor (SynRM), triple-voltage-vector CRESTIAN A. AGUSTIN was born in Isabela, Philippines, in 1989. He received the B.S. degree in electrical engineering from Isabela State University, Ilagan City, Philippines, in 2012, the M.S. degree in engineering management from the

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“…Researchers have focused more attention on FCS-MPC applications since it has many advantages, such as intuitive concept, fast dynamics, nonlinear and multivariable solutions, system constraints. According to different control objectives, the three most widely mentioned FCS-MPC methods in motor drives are model predictive current control [8,9], model predictive speed control [10,11] and model predictive torque control (MPTC) [12,13]. The traditional MPTC is characterized by simple control principle, easy handling of multiple constraints and multiobjective control, but suffers from weighting factor tuning work and relatively high torque ripple.…”

Section: Introductionmentioning

confidence: 99%

A Three-Vector-Based Model Predictive Flux Control for PMSM Drives

Yan

et al. 2021

J. Electr. Eng. Technol.

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The model predictive flux control (MPFC) strategy is an improved method for the weighting factor that is difficult to adjust in the traditional model predictive torque control (MPTC). By analyzing the relationship among torque, stator flux and load angle, the simultaneous control of torque and stator flux amplitude is converted into the control of equivalent references stator flux vector, which eliminates directly the weighting factor. However, MPFC also suffers from high torque and flux ripples if only one voltage vector is applied during each control period. In order to solve this problem, a three-vector-based model predictive flux control strategy is proposed for permanent magnet synchronous motor in this paper. Three voltage vectors are applied in one control cycle to achieve good control performance of torque and flux, and the durations of three vectors are determined based on the principle of stator flux deadbeat control. The experimental results show that, compared with the model predictive flux control strategy and the optimal duty model predictive flux control strategy, the three-vector-based model predictive flux control strategy can effectively reduce the torque and flux ripples, improve the system's steady-state performance. KeywordsCost function • Weighting factor • Torque and flux ripples • Permanent magnet synchronous motor (PMSM) • Model predictive flux control (MPFC)

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Model Predictive Torque Control of a Hybrid Excited Axial Field Flux-Switching Permanent Magnet Machine

Cited by 9 publications

References 32 publications

A coreless axial flux‐switching generator for micro‐wind turbine application

A coreless axial flux‐switching generator for micro‐wind turbine application

Model-Free Predictive Current Control for SynRM Drives Based on Optimized Modulation of Triple-Voltage-Vector

A Three-Vector-Based Model Predictive Flux Control for PMSM Drives

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