Tuning of a Type-III Software-Based Resolver-to-Digital Converter through Genetic Algorithm

Monteiro, Felipe A.; Estrabis, Thyago; Cordero, Raymundo; Montemor, Juliana; Pinto, J.O.P.

doi:10.1109/icit45562.2020.9067196

Cited by 3 publications

(2 citation statements)

References 15 publications

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“…This approach leads to a cheaper, more reliable, and more versatile system. Most common software-based RDCs are designed taking into account Phase Locked Loop (PLL) [12]- [13] or Angle Tracking Observer (ATO) algorithms [14]- [15]. Also with this approach, the hardware interface presents a complex structure with a high number of electronic components that result in expensive implementation.…”

Section: Introductionmentioning

confidence: 99%

A Simple Software-based Resolver To Digital Conversion System

Tommaso

Miceli

Nevoloso

et al. 2022

IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society

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In this paper, a software-based resolver to digital converter (RDC) is proposed. The hardware signal conditioning circuit is realized using common electronic components, while the algorithm can be implemented either using a microcontroller or an FPGA. Its validation and performance analysis has been carried out using an interior permanent magnet synchronous machine drive and, with comparative purposes, an LTN Servotechnik 1024 ppr incremental encoder. Tests show that the proposed RDC is characterized by a good dynamic response and precision, moreover, due to low computational demand, it can be successfully adopted without significant extra cost.

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Section: Introductionmentioning

confidence: 99%

A Simple Software-based Resolver To Digital Conversion System

Tommaso

Miceli

Nevoloso

et al. 2022

IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society

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“…In contrast to offline calibration algorithms, online filtering methods usually need less memory space and have better harmonic elimination performance against the changeable and complex electromagnetic environment in practice. Online filtering techniques mainly include Kalman filter (KF) [10], Fourier analysis [11,12], artificial neural networks (ANN) [13], probabilistic learning [14], type-III angle tracking observer (ATO) [15,16], and various phase-locked loop-based (PLL) methods, such as decoupled double synchronous reference frame (DSRF)-PLL [17,18], adaptive notch filter (ANF)-PLL [19], two-phase-type PLL [20], non-linear and linearized PLL [21], and other types [22,23]. For example, an improved PLL was presented in [24] and the maximum position error was nearly 15 • when the machine speed changes.…”

Section: Introductionmentioning

confidence: 99%

A novel filtering algorithm for the resolver position signal based on recursive least squares and phase‐locked loop

Lian

Xiao

Liu

et al. 2021

IET Power Electronics

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This paper presents a novel filtering algorithm for the resolver position signal based on recursive least squares (RLS) and phase‐locked loop (PLL). The proposed RLS‐PLL‐based algorithm designs a harmonic iterative estimation and elimination mechanism, which can accurately estimate and eliminate the specified harmonic contained in the resolver online and obtain an ideal reconstructed position signal. The convergence analysis, parameter design and pseudo code of the proposed algorithm are all provided. The advantage of the presented method mainly lies in that it has excellent position signal filtering performance in the entire operating condition, including low speed, high speed, steady state, and dynamic. Experimental results demonstrate that compared to the results achieved with the conventional look‐up table (LUT) method and the advanced type‐III angle tracking observe (ATO), the proposed RLS‐PLL‐based algorithm has improved filtering performance. Under some typical operating conditions, the harmonic content of the position signal reconstructed by the new method is reduced by an order of magnitude.

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Noise-robust RDC technique using optimal PFCST

Xue-chun

Tan

et al. 2022

Measurement

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Tuning of a Type-III Software-Based Resolver-to-Digital Converter through Genetic Algorithm

Cited by 3 publications

References 15 publications

A Simple Software-based Resolver To Digital Conversion System

A Simple Software-based Resolver To Digital Conversion System

A novel filtering algorithm for the resolver position signal based on recursive least squares and phase‐locked loop

Noise-robust RDC technique using optimal PFCST

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