Angle-Sensorless Zero- and Low-Speed Control of Bearingless Machines

Wellerdieck, Tobias; Nußbaumer, Thomas; Kolar, Johann W.

doi:10.1109/tmag.2016.2527059

Cited by 8 publications

(6 citation statements)

References 11 publications

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“…Although there is a slight increase in |k z /k x | (proportional to δ 0.31 ), which is somewhat beneficial for controllability, the axial stiffness k z , tilting stiffness k α , the force-current factor k i , and torque constant c m all decrease in proportion to δ −1. 16 , δ −0.98 , δ −0.34 , and δ −0.15 , respec-tively. Besides, the passive properties decrease significantly as the magnetic gap length increases.…”

Section: Magnetic Gap Length δmentioning

confidence: 98%

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Design Method of Bearingless Permanent Magnet Slice Motor for Maglev Centrifugal Pump Based on Performance Metric Cluster

Zhang

et al. 2021

Actuators

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Different from ordinary AC machines, the design of a bearingless permanent magnet slice motor (BPMSM) considers not only the torque performance, but also the passive and active suspension properties. In addition, BPMSM for a maglev centrifugal pump has unique design characteristics due to the integration of the pump head and sensors. This paper investigates evaluation and design techniques based on a cluster of performance metrics targeting on developing BPMSM for a maglev centrifugal pump. The cluster of performance metrics for BPMSM, including passive stiffness (kz, kz/kx, kz/ky, kα, and kβ) and active factors (ki and cm), is first proposed and an evaluation function fiSi,Li is constructed. Then, practical configurations of BPMSM for a maglev centrifugal pump are summarized. Based on the cluster of performance metrics, the finite-element method (FEM) is used to explore the impact of the rotor magnetization (sinusoidal, diametric, and radial method) on motor properties. Subsequently, the complete design process of BPMSM for a maglev centrifugal pump is introduced and key differences (including three crucial geometric parameters: ratio of rotor height to diameter λ, magnetic gap length δ, and stator tooth width αst) in the design considerations between BPMSM and general bearingless motors are analyzed. Finally, the upgraded performance (kz, kα, kβ, ki, cm, and fiSi,Li increased by about 29%, 38%, 33%, 31%, 21%, and 15%, respectively) of the designed candidate is obtained, which verifies the effectiveness of the proposed design methods.

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Section: Magnetic Gap Length δmentioning

confidence: 98%

“…To the authors' knowledge, current literature on BPMSM primarily focuses on topology [4][5][6][7][8], control [9][10][11][12][13][14], and sensing [15][16][17]. The design of BPMSM has received only limited research attention.…”

mentioning

confidence: 99%

Design Method of Bearingless Permanent Magnet Slice Motor for Maglev Centrifugal Pump Based on Performance Metric Cluster

Zhang

et al. 2021

Actuators

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“…The stray fields become larger if the rotor is displaced. The consideration of the stray fields is the most significant difference to the reduced analysis presented by Wellerdieck, Nussbaumer, and Kolar (2016).…”

Section: Modelling Of Magnetic Flux Around the Rotor Magnetmentioning

confidence: 99%

Experimental verification of an angle-sensorless control scheme for bearingless permanent magnet machines

Wellerdieck

Nußbaumer

Kolar

2017

Mechanical Engineering Journal

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“…Generally, photoelectric encoders and Hall displacement sensors are applied to measure the speed and radial displacement of the rotor. However, these sensors increase the weight, volume, and cost of the whole system, and the detection results are easily affected by environmental factors and are not suitable for extreme environments [13][14][15][16]. Therefore, the research on the self-sensing technology of the speed and radial displacement of the BPMSM is expected to enhance the integrated level and reliability of the system, reduce the axial length of the motor, and provide more application fields for the BPMSM [17][18][19][20].…”

Section: Introductionmentioning

confidence: 99%

“…In the past decade, the self-sensing technology of bearingless motors has become one of the research focuses on bearingless motor technology. In [13], a model-based rotor angle observer at zero and low BPMSM speeds is proposed. The radial displacements and suspension force model are used to observe the angular position.…”

Section: Introductionmentioning

confidence: 99%

Sensorless Control of Bearingless Permanent Magnet Synchronous Motor Based on LS-SVM Inverse System

Hua

Zhu

2021

Electronics

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In order to solve the problems of low integration, low reliability, and high cost caused by mechanical sensors used in bearingless permanent magnet synchronous motor (BPMSM) control systems, a novel speed and displacement sensorless control method using a least-squares support vector machine (LS-SVM) left inverse system is proposed in this paper. Firstly, the suspension force generation principle of the BPMSM is introduced, and the mathematical model of the BPMSM is derived. Secondly, the observation principle of the left inverse system is explained, and the left reversibility of the established speed and displacement subsystem is proved. Thirdly, the left inverse systems of the speed and displacement subsystems are constructed by using the LS-SVM, and the complete speed and displacement sensorless control system is constructed. Finally, the simulations and experiments of the proposed method are performed. The research results demonstrate that the proposed observation method can identify the speed and displacement quickly and accurately, and the sensorless control method can realize the stable operation of the BPMSM without speed and displacement sensors.

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Angle-Sensorless Zero- and Low-Speed Control of Bearingless Machines

Cited by 8 publications

References 11 publications

Design Method of Bearingless Permanent Magnet Slice Motor for Maglev Centrifugal Pump Based on Performance Metric Cluster

Design Method of Bearingless Permanent Magnet Slice Motor for Maglev Centrifugal Pump Based on Performance Metric Cluster

Experimental verification of an angle-sensorless control scheme for bearingless permanent magnet machines

Sensorless Control of Bearingless Permanent Magnet Synchronous Motor Based on LS-SVM Inverse System

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