A Method to Improve Torque Density and Reduce Magnetization Current in a Variable-Flux Flux-Intensifying Interior Permanent Magnet Machine

Lu, Yang; Li, Jian; Qu, Ronghai; Sun, Afang; Fang, Haiyang

doi:10.1109/vppc.2016.7791574

Cited by 6 publications

(6 citation statements)

References 13 publications

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“…In order to address the problem of unchangeable air-gap flux density, a variable flux memory machine (VFMM) [6][7][8][9][10][11][12][13][14] was proposed and has become a hot research focus. Memory machines utilize low coercive force (LCF) magnets such as AlNiCo, and the magnetization state (MS) can be flexibly adjusted with different transient current pulses with negligible loss.…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, VFMM can achieve high efficiency over a wide speed range. The existing VFMMs are divided into DC- [6][7][8] and AC- [9][10][11][12][13][14] magnetized types according to the winding category to provide current pulses. The DC-magnetized VFMMs [6][7][8] usually have LCF magnets on the stator side, and the additional magnetization coils can provide MS manipulation currents conveniently.…”

Section: Introductionmentioning

confidence: 99%

“…However, DC-magnetized VFMMs generally suffer from a complicated structure. On the other hand, AC-excited VFMMs [9][10][11][12][13][14][15][16] utilize d-axis current pulses generated by the armature windings to manipulate the MS of LCF magnets, which feature a simple configuration with magnets on the rotor side.…”

Section: Introductionmentioning

confidence: 99%

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Investigation of a Novel Consequent-Pole Flux-Intensifying Memory Machine

Yang

Lin

et al. 2022

Energies

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This paper mainly focuses on the investigation and analysis of a novel consequent-pole flux-intensifying memory machine (CP-FIMM). The proposed CP-FIMM exhibits the advantages of a satisfactory flux-regulation range, reduction of the required magnetizing current magnitude, as well as similar torque with much less PM utilization compared to its conventional counterpart. By designing the q-axis flux barriers, the flux-intensifying structure can be realized to enhance the demagnetization withstand capability of the CP-FIMM. The machine topology and operating principle are described. Moreover, the equivalent magnetic circuit model is developed to highlight the performance improvement of the proposed CP-FIMM. Finally, the electromagnetic performance of the proposed CP-FIMM is compared with that of a benchmark conventional FIMM by 2-D and 3-D finite element analysis.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Investigation of a Novel Consequent-Pole Flux-Intensifying Memory Machine

Yang

Lin

et al. 2022

Energies

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“…The LCF magnets can be mounted on the stator as the stator permanent magnet VFPM [13], [14]. Efforts have been done to increase the overall efficiency [15], [16] and reduce the maximum magnetization current [17], [18], promoting the application of the VFPM.…”

Section: Introductionmentioning

confidence: 99%

Online Magnetization Trajectory Prediction and Current Control for a Variable-Flux Permanent Magnet Machine

Chen

Fang

2020

IEEE Access

Self Cite

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Online magnetization current control is a critical concern of the variable-flux permanent magnet machine control. Increasing the magnetization speed benefits the machine system, which reduces manipulation losses and mechanical impact. Thus, this paper proposes an online trajectory prediction method that increases the DC-link voltage utilization, boosting the manipulation speed. The prediction method decouples the rotating voltage and the induction voltage in the machine model. The induction voltage is the source of di/dt, which influences the magnetization manipulation speed. The proposed method updates the maximum available induction voltage at every manipulation stage by excluding the rotating voltage from the DC-link voltage limitation. Based on the induction voltage, the magnetization current trajectory is predicted. The trajectory prediction is cooperated with a feed-forward current controller to increase the control dynamics. Verified by various experiments, the proposed method achieves fast manipulation speed with high control accuracy. Besides, the proposed method shows self-adaptive capabilities in variable-speed and variable-voltage conditions. INDEX TERMS Current control, feed-forward PI controller, magnetization, mathematical model, motor control, variable-flux permanent magnet machine.

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“…The variable magnetization pattern PMSM can change the harmonic distribution in the air gap flux, thereby reducing torque ripple and losses according to the load condition [17], [18]. Besides the VFMM topologies have been proposed, efforts have been done to increase the performance of the VFMM, e.g., increasing the overall efficiency [19], [20] and reducing the magnetization current [21], [22].…”

Section: Introductionmentioning

confidence: 99%

Closed-Loop Magnetization State Control for a Variable-Flux Memory Machine

Chen

et al. 2020

IEEE Access

Self Cite

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Variable flux memory machines (VFMM) use magnetization and demagnetization manipulations to adjust machine voltage, achieving wide-speed high-efficiency operation. The machine magnetization state manipulation is a critical concern in the VFMM control. Thus, this paper proposes an on-line magnetization state estimation and closed-loop control using the magnetization manipulation signals. The magnetization state manipulation requires voltage injection to create the manipulation current. The current shows non-linear response at different magnetization state because the current changes the magnets state and the machine saturation level. The flux change rate, which is calculated by the injected voltage and the current response, is affected by the non-linearity and utilized in the proposed method for the magnetization state estimation. The proposed magnetization state estimation achieves self-sensing characteristic because the signals in the estimation already exist in the magnetization state manipulation. Based on the estimated and the target magnetization state, the closed-loop magnetization state control is achieved by the voltage injection regulation.

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A Method to Improve Torque Density and Reduce Magnetization Current in a Variable-Flux Flux-Intensifying Interior Permanent Magnet Machine

Cited by 6 publications

References 13 publications

Investigation of a Novel Consequent-Pole Flux-Intensifying Memory Machine

Investigation of a Novel Consequent-Pole Flux-Intensifying Memory Machine

Online Magnetization Trajectory Prediction and Current Control for a Variable-Flux Permanent Magnet Machine

Closed-Loop Magnetization State Control for a Variable-Flux Memory Machine

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