The influence of different configurations on position error of linear variable reluctance resolvers

Daniar, Ahmad; Nasiri‐Gheidari, Zahra

doi:10.1109/iraniancee.2017.7985177

Cited by 20 publications

(8 citation statements)

References 8 publications

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“…where V a and V b are phase voltages, r s is resistance of the signal winding, M is mutual inductance between stator circuit and excitation winding and  is rotor position and i a and i b are the phase currents. Two first phrases in (6) - (7) are negligible. Because the stator currents are almost zero and the excitation frequency (  ) is much higher than rotor speed ( / d dt  ).…”

Section: The Studied Resolvermentioning

confidence: 99%

Optimal Winding Selection for Wound-Rotor Resolvers

et al. 2019

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Wound-rotor (WR) resolvers are the most commercially used resolvers in industrial applications. In this paper, the effect of different winding arrangements on the accuracy of WR resolvers is discussed. Three windings are proposed for the stator of the resolver that are involved on-tooth overlapping winding, distributed lap winding and distributed concentric winding. Those windings are also applied to the rotor. All the rotor windings are assumed to be single phase and two-phase. Therefore, the effect of damper winding is also studied in the paper. The analysis is done using time stepping finite element method and the most accurate resolver is built and tested. Close agreement between the experimental measurements and the finite element results confirms the obtained results.

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Section: The Studied Resolvermentioning

confidence: 99%

Optimal Winding Selection for Wound-Rotor Resolvers

et al. 2019

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“…3 is proposed and the following assumptions are considered: (i) The permeability of mover yoke and stator yoke are assumed to be infinite and mover/stator yoke are extended to infinite in + y and – y direction, respectively. (ii) All regions are extended in ± x ‐direction. (iii) The end winding effect is ignored, current flows only in z ‐direction, and the stack length of machine assumed to be infinite. (iv) Layer I is assumed to be the mover's slots‐teeth region, and the excitation winding is modelled by the current density of J v . To do this, the slots‐teeth region is modelled by an anisotropic material [26–28]:

\begin{matrix} right leftthickmathspace.5em \\ μ_{x m} = μ_{\circ} \frac{μ_{normalr}}{1 + (W_{rs} / (W_{rs} + W_{rt})) (μ_{normalr} - 1)} \\ μ_{y m} = μ_{\circ} [\frac{W_{rs}}{W_{rs} + W_{rt}} + μ_{r} ()(, 1 - \frac{W_{rs}}{W_{rs} + W_{rt}})] \end{matrix}

where µ x m and µ y m are the relative permeability in slots‐teeth in x and y direction, respectively. (v) The stator slots are removed and their influence is considered by modifying the air‐gap length with Carter's coefficient ( K c ) as [25, 26]:

g_{e} = g + ()(, K_{c} - 1) g^{'}

g^{'} = g + \frac{h_{ss}}{μ_{r}}

where g is the air‐gap length, h ss is the height of stator's slot and µ r is the relative permeability of the iron. The Carter's coefficient can be calculated as:

K_{c} = W_{ss}

…”

Section: Analytical Modelmentioning

confidence: 99%

“…(v) The stator slots are removed and their influence is considered by modifying the air‐gap length with Carter's coefficient ( K c ) as [25, 26]:

g_{e} = g + ()(, K_{c} - 1) g^{'}

g^{'} = g + \frac{h_{ss}}{μ_{r}}

where g is the air‐gap length, h ss is the height of stator's slot and µ r is the relative permeability of the iron. The Carter's coefficient can be calculated as:

K_{c} = \frac{W_{ss} + W_{st}}{W_{ss} + W_{st} - γ g^{'}}

where γ is given by:

γ = \frac{4}{π} [\frac{b_{normals}}{2 g^{normal′}} \tan^{- 1} ()(, \frac{b_{s}}{2 g^{'}}) - \ln \sqrt{1 + {(\frac{b_{normals}}{2 g^{normal′}})}^{2}}]

…”

Section: Analytical Modelmentioning

confidence: 99%

Analytical model for performance prediction of linear resolver

Saneie

Nasiri‐Gheidari

Tootoonchian

2017

IET Electric Power Applications

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In this study an analytical model based on solving Maxwell equations in the machine layers is presented for linear resolver (LR). Anisotropy, field harmonics, slot effects, number of slots per pole per phase and the effect of tooth skewing are considered in the model. The proposed method is a design oriented technique that can be used for performance prediction and design optimisation of the LR due to its acceptable accuracy and fast computation time. Two‐ and three‐dimensional time stepping finite element method (FEM) is employed to validate the results of the proposed model. Good correlations between the results obtained by the proposed method and the FEM confirm the superiority of the proposed method over the FEM due to its much lower computational time. Finally, the prototype of the proposed sensor is built and tested. The results of the experimental tests verify the accuracy of the simulations.

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“…Although the mechanical faults in rotational resolvers are clearly defined, their definition in LRs is not clear. Even performance calculation of LRs is discussed in a few works [11][12][13][14][15][16][17][18]. In [11], the optimal design of a variable reluctance LR with the objective function of higher signal-to-noise ratio is discussed.…”

Section: Introductionmentioning

confidence: 99%

“…In [16], using different proposals for the winding of wound mover LRs is discussed. In [17], design optimisation of linear variable reluctance resolver based on variable air-gap length is presented. Tsujimoto et al of [18] propose a new resolver for helical 2 degree-of-freedom position detection.…”

Section: Introductionmentioning

confidence: 99%