Software Resolver-to-Digital Converter for Compensation of Amplitude Imbalances using D-Q Transformation

Kim, Youn-Hyun; Kim, Sol

doi:10.5370/jeet.2013.8.6.1310

Cited by 22 publications

(7 citation statements)

References 18 publications

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“…As for the application in sensorless drives, ATO is employed for reducing noise and oscillation in rotor position estimation, compared to those obtained from traditional methods [9,10]. Several works [11][12][13][14][15] have focused on solving the amplitude imbalance-induced position error with modified ATO algorithms for error compensation.…”

Section: Introductionmentioning

confidence: 99%

Angle Tracking Observer with Improved Accuracy for Resolver-to-Digital Conversion

Qin

2019

Symmetry

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A resolver is an absolute shaft sensor which outputs pair signals with ortho-symmetric amplitudes. Ideally, they are sinusoidal and cosinusoidal functions of the shaft angle. In order to demodulate angular position and velocity from resolver signals, resolver-to-digital conversion (RDC) is necessary. In software-based RDC, most algorithms mainly employ a phase-locked loop (PLL)-based angle tracking observer (ATO) to form a type-II system. PLL can track the detected angle by regulating the phase error from the phase detector which depends on the feature of orthogonal symmetry in the resolver outputs. However, a type-II system will result in either steady-state errors or cumulative errors in the estimation of angular position with constant accelerations. Although type-III ATOs can suppress these errors, they are still vulnerable to high-order acceleration signals. In this paper, an improved PLL-based ATO with a compensation model is proposed. By using dynamic compensation, the proposed ATO becomes a type-IV system and can reduce position estimation errors for high-order acceleration signals. In addition, the parameters of ATO can be tuned according to the bandwidth, noise level and capability of error suppression. Simulation and experimental results demonstrate the effectiveness of the proposed method.

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Section: Introductionmentioning

confidence: 99%

Angle Tracking Observer with Improved Accuracy for Resolver-to-Digital Conversion

Qin

2019

Symmetry

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“…At present, software-based RDC methods of the resolver are usually implemented in the time domain [10]. In this method, the peak point is usually used to extract the envelope of the signal, but this will cause the resolution of the envelope signal to decline, and the rotor position calculated by the sampled values is inaccurate in the highspeed region when the excitation frequency is relatively low [11].…”

Section: Introductionmentioning

confidence: 99%

A Novel Technique for Resolver-to-Digital Conversion Using Principal Frequency Component S-Transform

2019

Journal of Electrical and Computer Engineering

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A novel technique for resolver-to-digital conversion (RDC) using principal frequency component S-transform (PFCST) is proposed in this paper. First, the mode envelope of two output signals of the resolver is extracted by PFCST. The envelope extracted by PFCST maintains the same time resolution as the original signal because it performs time-frequency conversion for each sampling point. Then, the quadrant of the resolver is determined by the judgment rule formed by the polarity of the optimum nonzero region of the signals, and the quadrant information is used to correct the arctangent to obtain the accurate rotor position. Finally, the simulations prove that the maximum angle error of the resolver estimated by this method occurs at the quadrant junction but does not exceed one deg., and the experiments are used to verify the effectiveness of the proposed method.

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“…Obtaining accurate angle information is crucial for many control systems [ 1 , 2 , 3 ]. Therefore, angle position sensors (APSs) are widely used in the aerospace and automotive industries, navigation, and other fields.…”

Section: Introductionmentioning

confidence: 99%

Self-Calibration of Angular Position Sensors by Signal Flow Networks

Gao

Zhou

Hou

et al. 2018

Sensors

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Angle position sensors (APSs) usually require initial calibration to improve their accuracy. This article introduces a novel offline self-calibration scheme in which a signal flow network is employed to reduce the amplitude errors, direct-current (DC) offsets, and phase shift without requiring extra calibration instruments. In this approach, a signal flow network is firstly constructed to overcome the parametric coupling caused by the linearization model and to ensure the independence of the parameters. The model parameters are stored in the nodes of the network, and the intermediate variables are input into the optimization pipeline to overcome the local optimization problem. A deep learning algorithm is also used to improve the accuracy and speed of convergence to a global optimal solution. The results of simulations show that the proposed method can achieve a high identification accuracy with a relative parameter identification error less than 0.001‰. The practical effects were also verified by implementing the developed technique in a capacitive APS, and the experimental results demonstrate that the sensor error after signal calibration could be reduced to only 6.98%.

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Software Resolver-to-Digital Converter for Compensation of Amplitude Imbalances using D-Q Transformation

Cited by 22 publications

References 18 publications

Angle Tracking Observer with Improved Accuracy for Resolver-to-Digital Conversion

Angle Tracking Observer with Improved Accuracy for Resolver-to-Digital Conversion

A Novel Technique for Resolver-to-Digital Conversion Using Principal Frequency Component S-Transform

Self-Calibration of Angular Position Sensors by Signal Flow Networks

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