Fault Diagnosis for Power Transistors in a Converter of Switched Reluctance Motors Based on Current Features

Fang, Chenghui; Chen, Hao; Torkaman, Hossein; Anuchin, Alecksey; Li, Xiaodong

doi:10.1109/jsen.2021.3128487

Cited by 10 publications

(1 citation statement)

References 25 publications

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“…In recent decades, the switched reluctance motor (SRM) has drawn increasing attention in some applications such as the electric vehicle, due to its many merits such as high reliability, low cost, and wide operating range [1][2][3]. For SRMs, phase current detection plays a crucial role in phase current control such as hysteresis current control [4], PI current control [5], predictive current control [6,7], diagnosis of power converter [8,9], and most sensorless position estimation methods [10]. Conventionally, each phase of an SRM needs a hall effect sensor along with a signal-conditioning circuit and an analog-to-digital channel to detect its current, and thus current detection of a phase is completely independent of that of any other phase.…”

Section: Introductionmentioning

confidence: 99%

Torque-Enhanced Phase Current Detection Schemes for Multiphase Switched Reluctance Motors with Reduced Sensors

Shen

Wang

et al. 2022

Applied Sciences

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An n/2-sensor-based and an (m + 1)/2-sensor-based phase current detection scheme are proposed for even-numbered switched reluctance motors (EMSRMs) with n phases and odd-numbered switched reluctance motors (OMSRMs) with m phases. For the EMSRMs, the phases are divided into n/2 groups each of which includes two phases furthest from each other, and the lower dc bus is split into n/2 + 1 buses such that the currents through the lower switches of a group flow through a bus whose current is detected by a sensor. For the OMSRMs, the phases are divided into (m + 1)/2 groups and the currents through the lower switches of a group are detected by a multiplexed sensor without converter modification; the phase grouping is generalized as an optimization problem considering the volume and measuring range of the sensors. The schemes can detect the magnetization and freewheeling phase currents under multiphase excitation without pulse injection and voltage penalty. Compared to the existing schemes using cross-winding sensors, the proposed schemes can increase the motor torque by extending the phase conduction region. In addition, the proposed scheme for EMSRMs can combine the low-cost low-side shunt current sensing technique, and the proposed scheme for OMSRMs can increase the current sensing resolution. Simulations are carried out to validate the two proposed schemes. The proposed (m + 1)/2-sensor-based scheme is further verified experimentally.

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Section: Introductionmentioning

confidence: 99%

Torque-Enhanced Phase Current Detection Schemes for Multiphase Switched Reluctance Motors with Reduced Sensors

Shen

Wang

et al. 2022

Applied Sciences

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Modeling and analysis of reluctance motion system with asymmetrical air gaps

Pumphrey

Alatawneh

Janaideh

2022

Review of Scientific Instruments

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To achieve high throughput and efficiency, semiconductor photolithography machines need an actuation system that can meet high acceleration and precision demands on the nanoscale. One available solution is the reluctance actuator, which provides higher acceleration and force output than the standard Lorentz actuator. A floating stage with air-bearings is used to eliminate friction in the photolithography process; however, vibration transfer is not entirely eliminated, leading to potential misalignment and asymmetries between the actuator elements. With asymmetrical offsets between mover elements, the output force can be greatly affected. This paper shows a method for estimating the force of various asymmetrical cases for the C-core reluctance actuator. Analytical models are developed and further improved through polynomial curve fitting using precomputed finite element simulation results from Comsol Multiphysics (COMSOL) to achieve more optimal solutions. An experiment verified the results of the force estimation equations, which were within [Formula: see text] for different cases of asymmetric air gaps. This contribution will lead to a design for a control system that will overcome the issue of asymmetries or other altered states.

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A Fault Diagnosis Scheme Based on the Normalized Indexes of the Images eccentricity for a Multilevel Converter of a Switched Reluctance Motor Drive

Amaral¹,

Pires

Foito³

et al. 2022

2022 11th International Conference on Renewable Energy Research and Application (ICRERA)

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This paper addresses the fault detection and diagnosis of a fault in the switches of the Switched Reluctance Machine (SRM) power electronic converter. Due to the advantages of using multilevel converters with these machines, a fault detection and diagnosis algorithm is proposed for this converter. The topology under consideration is the asymmetric Neutral Point Clamped (ANPC), and the algorithm was developed to detect open and short circuit faults. The proposed algorithm is based on an approach that discriminates eccentricity of the images formed by the converter voltages. This discrimination is realized through the development of normalized indexes based on the entropy theory. Besides the different fault type the algorithm is also able to detect the transistor under fault. The possibility to implement the proposed approach will be verified through simulation tests.

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Fault Diagnosis for Power Transistors in a Converter of Switched Reluctance Motors Based on Current Features

Cited by 10 publications

References 25 publications

Torque-Enhanced Phase Current Detection Schemes for Multiphase Switched Reluctance Motors with Reduced Sensors

Torque-Enhanced Phase Current Detection Schemes for Multiphase Switched Reluctance Motors with Reduced Sensors

Modeling and analysis of reluctance motion system with asymmetrical air gaps

A Fault Diagnosis Scheme Based on the Normalized Indexes of the Images eccentricity for a Multilevel Converter of a Switched Reluctance Motor Drive

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