Partitioned Stator Hybrid Excited Machine With DC-Biased Sinusoidal Current

Du, Yi; Mao, Yi; Xiao, Feng; Quan, Li; Li, Feng

doi:10.1109/tie.2021.3053901

Cited by 39 publications

(6 citation statements)

References 21 publications

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“…The authors of [80] presented a partitioned stator hybrid excited machine with a DC-biased sinusoidal current. This machine utilizes consequent pole permanent magnets for PM excitation on the inner stator, while an integrated dual threephase winding on the outer stator produces wound and armature fields simultaneously by injecting a sinusoidal current with DC bias.…”

Section: A Torque Improvementmentioning

confidence: 99%

Advancements in Flux Switching Machine Optimization: Applications and Future Prospects

Abunike,

Okoro,

Far

et al. 2023

IEEE Access

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Flux switching machines play a crucial role in emerging sectors such as renewable energy, electric vehicles, and the aerospace industry. Recent advancements have underscored their potential for achieving high torque density, effective heat management, and flux-weakening capabilities. This paper provides a comprehensive review of the design optimization of these machines, offering a unique contribution, as no previous attempts have delved into a detailed exploration of various optimization techniques specific to this technology. Special attention is given to state-of-the-art technologies related to multi-objective optimization and the performance analysis of the three variants: permanent magnet, wound-field, and hybrid excited. The review highlights and compares several optimization strategies from recent research, revealing research gaps in integrating advanced control algorithms, thermal, vibroacoustic, and structural models into the optimization design process of these machines. Furthermore, this review identifies essential trends in optimization development, offering valuable insights and future perspectives for these machines across diverse applications.

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Section: A Torque Improvementmentioning

confidence: 99%

Advancements in Flux Switching Machine Optimization: Applications and Future Prospects

Abunike,

Okoro,

Far

et al. 2023

IEEE Access

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“…PMSM have the characteristics of strong reliability, high power density, and high efficiency, and are receiving increasing attention in the fields of wind power generation and electric vehicles [1][2] . With the rapid development of microprocessor technology, Model predictive control (MPC) has become the research object of many scholars and is a reliable control scheme in practical applications 3 .…”

Section: Introductionmentioning

confidence: 99%

PMSM optimized predictive flux control based on three vectors

Li,

Zhou,

Nie

2023

Third International Conference on Electronics, Electrical and Information Engineering (ICEEIE 2023)

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In order to reduce torque ripple and current ripple of permanent magnet synchronous motor (PMSM) in traditional model predictive control, a improved predictive flux control scheme is proposed. First,synthesize 12 virtual voltage vectors. In order to simplify the vector selection, divide each vector into 12 sectors,Quickly determine the vector range by calculating the voltage vector angle, reduce the optional 12 voltage vectors to 2, Simply calculate the cost function twice to select the first required vector. Secondly,Pairwise combine the first vector selected with the remaining 11 vectors, and the unwanted voltage vectors are filtered out through the designed flux linkage cost function to Select the two vectors with the best control effect. Flexibly add a zero voltage vector according to the switching characteristics of the inverter to adjusting the magnitude of voltage and vector angle, and a fuzzy controller is designed to improve the evaluation accuracy of speed loop. Finally, use the flux difference parameter to calculate the occupancy time of each voltage. The experimental results show that the proposed scheme reduces the torque current fluctuation and improves the stability of the system.

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“…To overcome the economic issue of FSPM and the issue of low torque density in WFFSM, hybrid excited FSM (HEFSM) is another solution. These HEFSM machines are featured with all excitation sources (armature, PMs and field windings), and consequently, they combine the high torque density of PM machines and the flux regulation capability of wound field machines (Du et al , 2021; Hlioui et al , 2021; Mao and Niu, 2021; Zhang et al , 2015). Though the presence of armature excitation coil (AEC), field excitation coil (FEC) and PM on the stator makes its structure complex and costly in terms of labor charge but it significantly reduces the PM volume, which is a rare earth material and due to its frequent use it is vanishing day by day.…”

Section: Introductionmentioning

confidence: 99%

Design and lumped parameter magnetic network model of hybrid excited consequent pole flux switching machine

Ullah

Khan

et al. 2022

COMPEL

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Purpose The purpose of this paper is to analyze electromagnetic performance and develop an analytical approach to find the suitable coil combination and no-load flux linkage of the proposed hybrid excited consequent pole flux switching machine (HECPFSM) while minimizing the drive storage and computational time which is the main problem in finite element analysis (FEA) tools. Design/methodology/approach First, a new HECPFSM based on conventional consequent pole flux switching permanent machine (FSPM) is proposed, and lumped parameter magnetic network model (LPMNM) is developed for the initial analysis like coil combination and no-load flux linkage. In LPMNM, all the parts of one-third machine are modeled which helps in reduction of drive storage, computational complexity and computational time without affecting the accuracy. Second, self and mutual inductance are calculated in the stator, and dq-axis inductance is calculated using park transformation in the rotor of the proposed machine. Furthermore, on-load performance analysis, like average torque, torque density and efficiency, is done by FEA. Findings The developed LPMNM is validated by FEA via JMAG v. 19.1. The results obtained show good agreement with an accuracy of 96.89%. Practical implications The proposed HECPFSM is developed for high-speed brushless AC applications like electric vehicle (EV)/hybrid electric vehicle (HEV). Originality/value The proposed HECPFSM offers better flux regulation capability with enhanced electromagnetic performance as compared to conventional consequent pole FSPM. Moreover, the developed LPMNM reduces drive storage and computational time by modeling one-third of the machine.

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Partitioned Stator Hybrid Excited Machine With DC-Biased Sinusoidal Current

Cited by 39 publications

References 21 publications

Advancements in Flux Switching Machine Optimization: Applications and Future Prospects

Advancements in Flux Switching Machine Optimization: Applications and Future Prospects

PMSM optimized predictive flux control based on three vectors

Design and lumped parameter magnetic network model of hybrid excited consequent pole flux switching machine

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