A PWM Harmonics Elimination Method in Simultaneous Estimation of Magnetic Field and Displacements in Bearingless Induction Motors

Chibá, Akira; Santisteban, J.A.

doi:10.1109/tia.2011.2175882

Cited by 56 publications

(22 citation statements)

References 16 publications

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“…Definition: dq is the synchronous coordinate system oriented by the rotor flux-linkage of the torque system. Then, according to the working principle of the bearingless induction motor, the mathematical model of controllable magnetic suspension force can be derived as follows (Bu et al, 2014b; Chiba and Santisteban, 2012):…”

Section: Magnetic Suspension System Modelling Of the Bearingless Indumentioning

confidence: 99%

“…The conventional alternating current (AC) motor supported by a mechanical bearing is widely used in various industrial fields (Sun et al, 2013; Sun et al, 2014), but it is difficult to meet the requirement of long-time and high-speed running (Bu et al, 2015; Sun et al, 2012); then, a motor supported by magnetic bearings was developed (Kim et al, 2014), but it still has some disadvantages, such as more magnetic suspensions cost, over speed difficulty and limited critical speed (Bu et al, 2009; Chiba and Santisteban, 2012; Huang et al, 2014; Wang et al, 2015). Based on the comparability in structure between the magnetic bearing and common AC motor, a bearingless motor is proposed.…”

Section: Introductionmentioning

confidence: 99%

“…The bearingless motor is a new type of AC motor that is suitable for high-speed and long-time operation (Bu et al, 2014a(Bu et al, , 2014bSun et al, 2013). Compared with the motor supported by a magnetic bearing, the bearingless motor has a series of advantages, such as shorter rotor shaft, higher critical speed and lower magnetic suspensions cost (Bu et al, 2014b;Chiba and Santisteban, 2012), and has become a new research hotspot. However, the magnetic suspension system of the bearingless motor has a negative displacement stiffness coefficient, so it is unstable.…”

Section: Introductionmentioning

confidence: 99%

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Research on the least squares support vector machine displacement observer of a bearingless induction motor

et al. 2015

Transactions of the Institute of Measurement and Control

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To achieve the radial displacement self-sensing detection of a bearingless induction motor, an observation method based on the LS-SVM (least squares support vector machine) is proposed. The state-space model of a magnetic suspension system is derived firstly. Then the LS-SVM is introduced to the radial displacement observer of the bearingless induction motor, the design principle and Lyapunov stability of the LS-SVM displacement observer are analysed in detail, and the construction method of the LS-SVM displacement observer is presented also. Simulation and verification results show that both in the starting suspension stage and in the process of stable suspension operation, the LS-SVM displacement observer can quickly track the radial displacement with high accuracy. Then, a new method is found for the radial displacement self-sensing detection of the bearingless induction motor.

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Section: Magnetic Suspension System Modelling Of the Bearingless Indumentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Research on the least squares support vector machine displacement observer of a bearingless induction motor

et al. 2015

Transactions of the Institute of Measurement and Control

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“…(Bu et al, 2009(Bu et al, , 2017aSun et al, 2013). The bearingless motor is a new type of electric machine, proposed based on the similarity in structure between the conventional AC motor and magnetic bearings (Cao et al, 2009;Chiba and Santisteban, 2012;Huang et al, 2014). In a common bearingless motor, there are two sets of stator windings with different numbers of pole-pairs, including torque windings and suspension windings.…”

Section: Introductionmentioning

confidence: 99%

Neural network inverse system decoupling control strategy of BLIM considering stator current dynamics

et al. 2018

Transactions of the Institute of Measurement and Control

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The bearingless induction motor (BLIM) is a multi-variable, non-linear, strong coupling system. To achieve higher performance control, a novel neural network inverse system decoupling control strategy considering stator current dynamics is proposed. Taking the stator current dynamics of the torque windings into account, the state equations of the BLIM system is established first. Then, the inverse system model of the BLIM is identified by a three-layer neural network; by means of the neural network inverse system method, the BLIM system is decoupled into four independent second-order linear subsystems, include a rotor flux subsystem, a motor speed subsystem and two radial displacement component subsystems. On this basis, the neural network inverse decoupling control system is constructed, the simulation verification and analyses are performed. From the simulation results, it is clear that when the proposed decoupling control strategy is adopted, not only can the dynamic decoupling control between relevant variables be achieved, but the control system has a stronger anti-load disturbance ability, smaller overshoot and better tracking performance.

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“…Currently, the main types of bearingless motor can be classed by bearingless induction machines [3], bearingless switched reluctance machines (BSRM) [4], [5], bearingless permanent magnet (PM) machines [6]- [8], etc. Due to the higher torque density and efficiency, the bearingless PM machine is a competitive candidate for high speed machine drives [6].…”

Section: Introductionmentioning

confidence: 99%

Finite element analysis of a novel bearingless flux-switching permanent magnet motor with the single winding

Jia

Fang

Zhang

2014

2014 17th International Conference on Electrical Machines and Systems (ICEMS)

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In this paper, a novel bearingless flux-switching permanent magnet (BFSPM) motor with the single winding is proposed, in which the magnets, suspending winding, and armature windings and PMs are in the stator, while no PMs or windings is in the rotor. Hence, this novel bearingless PM motor can be called as stator PM bearingless motor, which exhibits advantages such as simpler rotor construction and capability of fault tolerant operation, comparing with the traditional bearingless motor with double winding. Its topology structure and radial suspension force principle are introduced firstly. Then, the static characteristics are investigated, including field distributions, air gap magnetic density and torque. The relationship between suspension force and winding currents were calculated. Finally, finite element method (FEM) is used to verify the theoretical analysis results.

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A PWM Harmonics Elimination Method in Simultaneous Estimation of Magnetic Field and Displacements in Bearingless Induction Motors

Cited by 56 publications

References 16 publications

Research on the least squares support vector machine displacement observer of a bearingless induction motor

Research on the least squares support vector machine displacement observer of a bearingless induction motor

Neural network inverse system decoupling control strategy of BLIM considering stator current dynamics

Finite element analysis of a novel bearingless flux-switching permanent magnet motor with the single winding

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