Rotor fault detector of the converter-fed induction motor based on RBF neural network

Kowalski, C. T.; Kaminski, Marcin

doi:10.2478/bpasts-2014-0008

Cited by 20 publications

(18 citation statements)

References 15 publications

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“…In order to control the motor easily, the two phase rotating reference frame d-q axis is widely used. The d-axis inductance L d and q-axis inductance L q can be calculated based on the three phase inductance according to (10). is the transformation matrix.…”

Section: Design and Analysis Of Interior Composite-rotor Bearingless mentioning

confidence: 99%

“…During the past decades, many kinds of bearingless motors were proposed and carried out, for example, bearingless switched reluctance motors [7,8], bearingless induction motors [9,10], bearingless permanent magnet synchronous motors (BPMSMs), etc. Due to small size, no contact, no wear, no lubrication, high efficiency, the BPMSMs are highly valued around the world, especially in semiconductor, pharmaceutical and medical industry [11,12].…”

Section: Introductionmentioning

confidence: 99%

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Design and analysis of interior composite-rotor bearingless permanent magnet synchronous motors with two layer permanent magnets

Sun

Chen

et al. 2017

Bulletin of the Polish Academy of Sciences Technical Sciences

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Abstract. In this paper, a new type of interior composite-rotor bearingless permanent magnet synchronous motors (BPMSMs) with two layer permanent magnets (PMs) is proposed. In order to reduce the torque ripple of this kind of motors, the sizes of PMs are optimized. Moreover, the magnetic field analysis of the interior composite-rotor BPMSM with two layer PMs is carried out by the finite element method (FEM). The corresponding static electronic magnetic characteristics at no load, including magnetic field, PM flux linkage and inductance, are studied in detail. In addition, electromagnetic torque characteristics and suspension force characteristics are also investigated thoroughly. The results of the analysis and simulation lay a significant foundation for further research on the interior composite-rotor BPMSMs with two layer PMs.Key words: bearingless motor, permanent magnet motor, finite element analysis, cogging torque, static electromagnetic characteristics.Design and analysis of interior composite-rotor bearingless permanent magnet synchronous motors with two layer permanent magnets In this paper, an interior composite-rotor BPMSM with two layer PMs is proposed. Then the electromagnetic characteristic of the proposed motor is analyzed by employing the finite element method (FEM) [20], which is used for the optimization of the motor. In Section 2, the suspension principle of proposed motor with two pole pairs of suspension windings and three pole pairs of suspension windings is introduced. In Section 3, the process of optimization based on the size of permanent magnets (PMs) is proposed, as well as the principle of optimization reducing the cogging torque and increasing the suspension force. In Section 4, the finite element model, plot mesh and prototype parameters are presented. Then the basic electromagnetic characteristics at no load including PM flux linkage, magnetic field and inductance of the proposed machine are analyzed. In Section 5, the electromagnetic characteristics are investigated. In Section 6, the suspension force characteristics are analyzed. Finally, Section 7 summarizes the paper. Suspension principleFor generating the suspension force and electromagnetic torque simultaneously, in the BPMSMs, the torque windings and suspension windings are wound together in the same stator slots. Suppose the pole pair number and current frequency of torque windings is P T and ω T . The pole pair number and current frequency of

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Section: Design and Analysis Of Interior Composite-rotor Bearingless mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Design and analysis of interior composite-rotor bearingless permanent magnet synchronous motors with two layer permanent magnets

Sun

Chen

et al. 2017

Bulletin of the Polish Academy of Sciences Technical Sciences

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“…Another solution are unidirectional, multilayer networks with dynamic neurons [6,18]. There are also used RBF radial networks and GMDH networks [8,10,16,[39][40][41].…”

Section: Fault Detectionmentioning

confidence: 99%

Application properties of methods for fault detection and isolation in the diagnosis of complex large-scale processes

Kościelny¹,

Syfert²

2014

Bulletin of the Polish Academy of Sciences Technical Sciences

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Abstract. The survey presents a selection of the methods of the fault detection and isolation suitable to be useful for the diagnostics of the complex, large scale industrial processes. The paper focuses on these methods that have appropriately high level of potential applicability in industrial practice. The novelty of the paper relies on the discussion of the dependency of the level of knowledge about diagnosed process and recommended diagnostic approaches. Appropriate recommendations were given in the convenient form of the table.

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“…The learning procedure of RBF network consists of three stages that include: choice of the centres of the hidden radial basis neurons W hn , choice of parameter W h0 -smoothness of the radial function for each hidden neuron, determination of the weight factors between hidden and output layer W h [14]. In the presented case, the panel areal density and results of numerical simulations such as projectile velocity after panel perforation were used for training.…”

Section: Fig 2 Optimization Toolchainmentioning

confidence: 99%

Optimization of two-component armour

Kędzierski¹,

Morka²,

Sławiński³

et al. 2015

Bulletin of the Polish Academy of Sciences Technical Sciences

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Abstract. The paper presents research on optimization of two-layer armour subjected to the normal impact of the 7.62x54 B32 armour piercing (AP) projectile. There were analysed two cases in which alumina Al2O3 was supported by aluminium alloy AA2024-T3 or armour steel Armox 500T. The thicknesses of layers were determined to minimize the panel areal density whilst satisfying the constraint, which was the maximum projectile velocity after panel perforation. The problem was solved through the utilization of LS-DYNA, LS-OPT and HyperMorph engineering software. The axisymmetric model was applied to the calculation in order to provide sufficient discretization. The response of the aluminium alloy, armour steel and projectile material was described with the Johnson-Cook model, while the one of the alumina with the Johnson-Holmquist model. The study resulted in the development of a panel optimization methodology, which allows the layer thicknesses of the panel with minimum areal density to be determined. The optimization process demonstrated that the areal density of the lightest panel is 71.07 and 71.82 kg/m 2 for Al2O3-Armox 500T and Al2O3-AA2024-T3, respectively. The results of optimization process were confirmed during the experimental investigation.

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Rotor fault detector of the converter-fed induction motor based on RBF neural network

Cited by 20 publications

References 15 publications

Design and analysis of interior composite-rotor bearingless permanent magnet synchronous motors with two layer permanent magnets

Design and analysis of interior composite-rotor bearingless permanent magnet synchronous motors with two layer permanent magnets

Application properties of methods for fault detection and isolation in the diagnosis of complex large-scale processes

Optimization of two-component armour

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