Performance comparison of 12/12 pole with 8/10 and 12/14 pole bearingless switched reluctance machine

Zhu, Zhiying; Jiang, Yongjiang; Zhu, Jin; Guo, Xuan

doi:10.1049/el.2018.8089

Cited by 12 publications

(9 citation statements)

References 7 publications

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“…[5], a 12/14 hybrid pole BSRM was proposed by Xu et al . [6], and a 12/12 BSRM was proposed in [7]. However, the above BSRMs had the deficiencies of strong coupling and low torque density.…”

Section: Introductionmentioning

confidence: 99%

“…Many different types of bearingless SRM (BSRM) have been proposed. A 12/8 pole single winding BSRM was studied by Yuan et al [2,3], an 8/6 pole BSRM was introduced by Chen and Hofmann [4], an 8/10 hybrid pole BSRM was proposed by Wang et al [5], a 12/14 hybrid pole BSRM was proposed by Xu et al [6], and a 12/12 BSRM was proposed in [7]. However, the above BSRMs had the deficiencies of strong coupling and low torque density.…”

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confidence: 99%

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Suspension performance analysis of a novel bearingless motor

Yuan

Guo

et al. 2020

Electron. lett.

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Biased magnetic flux produced by a permanent magnet can reduce the power consumption of the suspension system in bearingless motors or magnetic bearings. However, the ability to generate suspension biased magnetic flux with a single permanent magnet tends to be saturated with the increase of the magnetising width. In order to solve the above problem, an axially superposed permanent magnet biased bearingless motor, which consists of a 12/8 reluctance motor for producing torque and two permanent magnets for producing desired biased magnetic flux density is present. The structure and working principle are introduced, and the electromagnetic characteristics are analysed by finite element analysis. The results verify that the proposed bearingless motor has the excellent merits of weak coupling between the torque system and suspension force and satisfactory suspension performance. Furthermore, much more biased permanent magnets could also be used for the suspension system of ultra-high speed, high power and slender bearingless motors such as flywheel energy storage systems.

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Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

Suspension performance analysis of a novel bearingless motor

Yuan

Guo

et al. 2020

Electron. lett.

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“…Furthermore, the 12/14 BSRM reduced the core loss by short circuit excitation and improved the decoupling performance by optimizing the distribution of magnetic induction lines . To improve the performance of torque and suspension of BSRM, proposed a parallel double 12/12 BSRM by using an axial magnetized permanent magnet as bias flux and isolated wide and narrow stator teeth structure. The 12/8 BSRM with wide rotor teeth generates a flat top region by increasing the pole arc of rotor teeth, performs torque control in the inductance rising region and suspension control in the inductance flat‐top region, thereby realizes the decoupling control of torque and suspension force .…”

Section: Introductionmentioning

confidence: 99%

Design and Analysis of a 16/6 Bearingless Switched Reluctance Motor with Segment Hybrid Rotor Teeth

Sun

Zhuang

et al. 2020

IEEJ Transactions Elec Engng

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In this article, a 16/6 bearingless switched reluctance motor (BSRM) with segment hybrid rotor teeth has been presented. To realize the decoupling control of torque and suspension force, the rotor teeth were divided into three torque teeth and three suspension teeth, and both of them are embedded in support part. First, both torque and suspension force are generated by short-circuit excitation, the flux linkage coupling between torque windings and suspension windings was eliminated, and the separate control of torque and suspension force was achieved. Then, by increasing the pole arc of suspension teeth, the inductance of suspension windings is kept constant, which eliminates the influence on the output torque when adjusting suspension force. Finally, the coupling degree is further reduced by using nonmagnetic material as the supporting part. In addition, to achieve a greater output torque, the torque teeth are processed into U-shape and optimized the pole arc of stator teeth and rotor teeth. The characteristics of inductance, flux linkage, and output torque are analyzed by the finite-element method, and the results show that the proposed structure basically achieves the decoupling control of torque and suspension force. (Non-member) was born in 1996, Rizhao, China.He received the B.S. degree in measurement and control technology and instrument from Shandong University of Science and Technology. His research interests include magnetic suspension artificial heart, precision instrumentation design, and system control.Jingkai Li (Non-member) was born in 1990, Zaozhuang, China. He graduated in measurement and control technology and instrument from Shandong University of Science and Technology. He is currently pursuing the M.S. degree in system control and automation instrumentation. His research interests include magnetic suspension artificial heart, magnetic suspension control system and sensorless detection of bearingless switched reluctance motor.Jiaqing Li (Non-member) was born in 1996, Jining, China.He received the B.S. degree in mechanical design manufacture and automation major from Zaozhuang University, and he is currently pursuing the M.S. degree in mechanical engineering. His research interests include advanced manufacturing technology and precision instrumentation.

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“…Some effective magnetic isolation measures must be taken to weaken the coupling of the torque and the suspension control magnetic circuit to reduce the difficulty of analysis and control. This has many advantages, e.g., high integration, low loss, self-decoupling, and easy high-speed control; hence, such technology has broad application prospects in the fields of flywheels and aerospace [9][10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Numerical Modeling of Suspension Force for Bearingless Flywheel Machine Based on Differential Evolution Extreme Learning Machine

Zhu

Guo

et al. 2019

Energies

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The analytical model (AM) of suspension force in a bearingless flywheel machine has model mismatch problems due to magnetic saturation and rotor eccentricity. A numerical modeling method based on the differential evolution (DE) extreme learning machine (ELM) is proposed in this paper. The representative input and output sample set are obtained by finite-element analysis (FEA) and principal component analysis (PCA), and the numerical model of suspension force is obtained by training ELM. Additionally, the DE algorithm is employed to optimize the ELM parameters to improve the model accuracy. Finally, absolute error (AE) and root mean squared error (RMSE) are introduced as evaluation indexes to conduct comparative analyses with other commonly-used machine learning algorithms, such as k-Nearest Neighbor (KNN), the back propagation (BP) algorithm, and support vector machines (SVMs). The results show that, compared with the above algorithm, the proposed method has smaller fitting and prediction errors; the RMSE value is just 22.88% of KNN, 39.90% of BP, and 58.37% of SVM, which verifies the effectiveness and validity of the proposed numerical modeling method.

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Performance comparison of 12/12 pole with 8/10 and 12/14 pole bearingless switched reluctance machine

Cited by 12 publications

References 7 publications

Suspension performance analysis of a novel bearingless motor

Suspension performance analysis of a novel bearingless motor

Design and Analysis of a 16/6 Bearingless Switched Reluctance Motor with Segment Hybrid Rotor Teeth

Numerical Modeling of Suspension Force for Bearingless Flywheel Machine Based on Differential Evolution Extreme Learning Machine

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