Sensorless control of double-sided linear switched reluctance motor based on simplified flux linkage method

Wei, Wenkai; Wang, Qing; Nie, Rui

doi:10.23919/tems.2017.8086103

Cited by 15 publications

(6 citation statements)

References 6 publications

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“…11, where the time interval of the adjacent pulse is Δt. The variation of position within Δt is 7.5° and the rotor speed of SRM can be represented as n = 7.5 Δt × 60 360 (19) On the basis of (19), the rotor position at any instant can be described as…”

Section: Simplified Flux Linkage-current Methodsmentioning

confidence: 99%

“…Hence, this method is seldom applied. Indirect measurement methods are mainly based on the voltage equation of the SRM phase winding [17][18][19]. The phase voltage, phase current, and coil resistance are used to calculate the instantaneous flux linkage.…”

Section: Introductionmentioning

confidence: 99%

“…Analogue integral circuits are proposed to obtain the flux linkage data, wherein a resistor is required to exactly match the actual phase resistance [4,17]. In addition, digital integral techniques can also be used to indirectly measure flux linkage [18,19].…”

Section: Introductionmentioning

confidence: 99%

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Circuit‐based flux linkage measurement method with the automated resistance correction for SRM sensorless position control

Liang

Chen

2018

IET Electric Power Applications

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The accuracy of flux linkage measurement is significantly important for a number of sensorless control methods for switched reluctance motor (SRM). This study proposes a novel flux linkage measurement circuit with the automated resistance correction, which comprises only circuit components. During the SRM sensorless operation, the dependence of resistance on temperature leads to the errors in flux linkage measurement and position estimation. The developed scheme is based on the zero-crossing property which asserts that the flux linkage and current pass through zero simultaneously. Hence, the flux linkage error captured at the time when the current falls to zero represents the resistance error and is used for resistance correction. The proposed circuit has been successfully implemented and tested on a sensorless SRM system. Experiment results indicate that the proposed system in sensorless control can be operated stably at different load torques and at the condition of given speed mutation and load mutation, and the speed range in steady state with rated load torque is 0-160 r/min. The overall estimated position error remains within an acceptable margin of 2%. Hence, it significantly improves the sensorless position estimation and thus SRM performance. Δθ e absolute value of the average position error Δθ e max absolute value of the maximum position error

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Section: Simplified Flux Linkage-current Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Circuit‐based flux linkage measurement method with the automated resistance correction for SRM sensorless position control

Liang

Chen

2018

IET Electric Power Applications

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“…Finally, the conclusion is given in Section 6. An SRM is a doubly salient variable reluctance motor, and the salient poles of the rotor are laminated with ordinary steel sheets [16][17][18][19][20][21][22][23][24][25][26][27]. The structure of the SRM is shown in Figure 1.…”

Section: Convertional Srm Drivesmentioning

confidence: 99%

Design and Analysis of a Novel Converter Topology for Photovoltaic Pumps Based on Switched Reluctance Motor

Zan

et al. 2019

Energies

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In order to improve the performance of switched reluctance motor (SRM) systems for photovoltaic (PV) pumps, this paper introduces a new converter topology for SRM with controllable multiple power sources. Only simple switching components need to be added at the front end of the asymmetric half-bridge converter in this topology, which enables the control of multiple power sources. The new PV pump system has four operating modes, which are the PV panel driven mode, battery bank driven mode, dual-source driven mode, and battery charging mode. By adjusting the state of the front-end converter switch, the voltage tracking of PV panel can be achieved, providing a stable bus voltage for the SRM system. By controlling the battery bypass switch, the bus voltage of SRM system can be increased, thereby increasing the system power level. Simulations and experiments based on a four-phase 8/6 SRM demonstrate the effect of the novel converter proposed in this paper.

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“…As shown in Figure , the classification is based on three ranges of speed: (a) from standstill, (b) in low speed (less than 1000 rpm), and (c) in high speed (more than 1000 rpm). These methods include: Polynomial regression strategy: In this method, the nonlinear characteristic of the SRM inductance profile is simplified by polynomial regression. It originally is a statistical technique for data analysis in order to model a nonlinear relationship between variables and understand the trend of them.…”

Section: Introductionmentioning

confidence: 99%

Design, modeling, prototyping, and comparison of a low‐cost, small‐size, and accurate sensorless driver for switched reluctance motor

Siadatan

Torkaman

Rafie

2019

Engineering Reports

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A switched reluctance motor (SRM) is a low-cost motor with a simple structure and variable speed industrial and home applications. This article presents the design, simulation, and development of a low-cost, accurate, and small-size sensorless driver for a 6/4 three-phase SRM. In the algorithm, the (nonlinear) relation of the flux, current, and rotor (FCR) position is linearized to achieve a modified FCR model, in which the values of the most important points of the primary FCR are emphasized. The SRM parameters required for the design process are obtained using a 3D finite-element method (FEM). The proposed method is simulated and then tested under different load and speed conditions.The results are compared with a conventional sensorless algorithm's results, and the reference data are obtained by a direct with-sensor algorithm. The algorithm estimates the rotor position (error of 1.3%) between low to nominal speed of the selected SRM under both nominal and no-load conditions. In comparison with the conventional algorithm, the proposed FCR model significantly reduces the calculation cost and memory demand by 66%. Finally, the proposed algorithm decreases the driver size and price by 64% and 85%, respectively. K E Y W O R D Senergy efficiency, rotor position detection, sensorless drive, switched reluctance motor INTRODUCTIONSwitched reluctance motor (SRM) has a lot of merits such as high performance, simple and low-cost structure, and ability to operate under harsh conditions with high speed. 1,2 The rotor can achieve high speed because it does not include any winding and has low weight. 3,4 Since power electronic devices and transistors are utilized in the SRM driver, SRM had not been used for many years until the developments in power electronics technology in the past decades. 5,6 In SRM control, the rotor position is required since the stator pole should be energized in a rotor position where positive torque can be generated to rotate the rotor. 7-9 Basically, two main strategies are suggested for detecting the rotor position: direct (with position sensor) and indirect (sensorless) strategies. [10][11][12] In indirect methods, different types of position sensors such as encoder and Hall effect sensor can be used to detect the location of the rotor. Although this method is very accurate, the

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Sensorless control of double-sided linear switched reluctance motor based on simplified flux linkage method

Cited by 15 publications

References 6 publications

Circuit‐based flux linkage measurement method with the automated resistance correction for SRM sensorless position control

Circuit‐based flux linkage measurement method with the automated resistance correction for SRM sensorless position control

Design and Analysis of a Novel Converter Topology for Photovoltaic Pumps Based on Switched Reluctance Motor

Design, modeling, prototyping, and comparison of a low‐cost, small‐size, and accurate sensorless driver for switched reluctance motor

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