Flux-current methods for SRM rotor position estimation

Lyons, J.P.; MacMinn, S.R.; Preston, Mark A.

doi:10.1109/ias.1991.178199

Cited by 213 publications

(76 citation statements)

References 8 publications

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“…A commonly applied active phase approach is the fluxlinkage method [114]. It does not require additional hardware and estimates the rotor position from the measured phase current and applied flux linkage.…”

Section: Self-sensing Of Srmsmentioning

confidence: 99%

Technology, Research and Applications of Switched Reluctance Drives

et al. 2017

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Abstract-Electrical drives are one of the major consumers of electrical energy and their penetration in the market is still growing. Hence, for many drive applications efficient, reliable and cost effective solutions have to be found. Switched reluctance drives (SRD) offer a potential solution when focus is mainly on cost and robustness. However, to benefit from the unique advantages of this machine type a deep understanding of its strongly non-linear behavior is required. After discussing some major differences to classic rotating field machines, this paper presents a broad overview of the state of the art of SRD taking into consideration all aspects relevant to machine modeling, design and control development process. Finally, applications on the market utilizing SRDs and the focus of current research is presented. After reading this paper the reader will be able to assess if this modern drive technology could be advantagous in a given application.

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Section: Self-sensing Of Srmsmentioning

confidence: 99%

Technology, Research and Applications of Switched Reluctance Drives

et al. 2017

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“…In this paper, the conventional flux estimation-based sensorless control algorithm [11,12], combined with the current-gradient method [13] as a fault-tolerant backup at high speed, was implemented. Fig.…”

Section: Sensorless Position Estimationmentioning

confidence: 99%

Development of a Switched Reluctance Motor-based Electric AC Compressor Drive for HEV/EV Applications

Kim¹,

Jeong²,

Jeon³

et al. 2014

Journal of Magnetics

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This paper discusses the development of a 3.5 kW switched reluctance motor (SRM)-based electric air-conditioning (AC) compressor, focusing primarily on the design aspects of the SRM and the integrated controller. In addition to the increased price of rare-earth magnets, SRM's operation capability at high speed and high temperature makes the SRM a viable alternative to the permanent magnet motor for electrically driven automotive air conditioning compressors. A compact and energy efficient scroll compressor is designed and constructed. Two feasible SRM topologies are considered, in terms of efficiency, torque ripple, and acoustic noise. Compact drive electronics are designed and employed to drive the SRM-based compressor. The static and dynamic performance is validated by simulation and experiment.

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“…There are a number of research works on Fault Detection and Diagnosis (FDD) of stator winding, power electronics and bearing of SRM [9][10][11][12][13] but very few publications concerning the FDD of position sensor [14]. Although it is a trend that the position sensor will be eliminated with the mature of sensor-less control technology [15][16][17][18][19], most SRGs still have position sensors in a considerable period of time. When the position sensor fails, the system should be able to detect it in the very begining and then switch to the backup sensor or execute proper system reconfiguration and fault tolerant control.…”

Section: Introductionmentioning

confidence: 99%

A Fault Diagnostic Method for Position Sensor of Switched Reluctance Wind Generator

Wang¹,

Liu²,

Liu³

et al. 2016

Journal of Electrical Engineering and Technology

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-Fast and accurate fault diagnosis of the position sensor is of great significance to ensure the reliability as well as sensor fault tolerant operation of the Switched Reluctance Wind Generator (SRWG). This paper presents a fault diagnostic scheme for a SRWG based on the residual between the estimated rotor position and the actual output of the position sensor. Extreme Learning Machine (ELM), which could build a nonlinear mapping among flux linkage, current and rotor position, is utilized to design an assembled estimator for the rotor position detection. The data for building the ELM based assembled position estimator is derived from the magnetization curves which are obtained from Finite Element Analysis (FEA) of an SRWG with the structure of 8 stator poles and 6 rotor poles. The effectiveness and accuracy of the proposed fault diagnosis method are verified by simulation at various operating conditions. The results provide a feasible theoretical and technical basis for the effective condition monitoring and predictive maintenance of SRWG.

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Flux-current methods for SRM rotor position estimation

Cited by 213 publications

References 8 publications

Technology, Research and Applications of Switched Reluctance Drives

Technology, Research and Applications of Switched Reluctance Drives

Development of a Switched Reluctance Motor-based Electric AC Compressor Drive for HEV/EV Applications

A Fault Diagnostic Method for Position Sensor of Switched Reluctance Wind Generator

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