Examination of a Sensorless Rotor-Position-Measurement Method for Switched Reluctance Drive

Al‐Bahadly, Ibrahim

doi:10.1109/tie.2007.909055

Cited by 61 publications

(24 citation statements)

References 15 publications

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“…Therefore, the mutual coupling is usually neglected for flux linkage estimation and sensorless control [3]- [14]. In this paper, the mutual coupling is also neglected.…”

Section: E Analysis Of the Influence Factors On Rotor Position Estimmentioning

confidence: 99%

“…By injecting high frequency pulses into each phase simultaneously, the inductance of each phase at any initial position can be estimated from (3). Comparing the amplitudes of each phase inductance, the initial exciting phase and the estimation phase can be estimated according to the control logics as given in Table IV.…”

Section: ) Sensorless Starting At Standstillmentioning

confidence: 99%

“…Therefore, one can recover the encoded position information that is stored in the form of electromagnetic characteristics such as flux linkage, inductance, back-emf, and so on by solving the voltage equation in an active or idle phase. From the aspects of rotor position decoding methods, the following methods such as look-up table [3], mathematical model [4], [5], observer [6], [7], and intelligent approximation algorithm [8]- [11] based methods and such are included. This implies that to implement these estimation methods, some prior knowledge of the SRM should be known.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Position Sensorless Control of Switched Reluctance Motors Based on Phase Inductance Slope

Cai¹,

Deng²

2013

Journal of Power Electronics

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A new sensorless position estimation method for switched reluctance motor (SRM) drives is presented in this paper. This method uses the change of the slope of the phase inductance to detect the aligned position. Since the aligned positions for successive electrical cycle of each phase are apart by a fixed mechanical angle 45° in the case of 12/8 SRM, the speed of the machine can be calculated to estimate the rotor position. Since no prior knowledge of motor parameters is required, the method is easy for implementation without adding any additional hardware or memory. In order to verify the validity of this technique, effects such as changes in the advanced angle and phase lacking faults are examined. In addition, an inductance threshold based sensorless starting scheme is also proposed. Experimental results demonstrate the validity of the proposed method.

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“…Therefore, the mutual coupling is usually neglected for flux linkage estimation and sensorless control [3]- [14]. In this paper, the mutual coupling is also neglected.…”

Section: E Analysis Of the Influence Factors On Rotor Position Estimmentioning

confidence: 99%

Section: ) Sensorless Starting At Standstillmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Position Sensorless Control of Switched Reluctance Motors Based on Phase Inductance Slope

Cai¹,

Deng²

2013

Journal of Power Electronics

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show abstract

“…In existing sensorless control methods, the main approaches can be classified as current waveform based methods [6][7][8], high frequency pulse injection methods [9][10][11], flux linkage based methods [12,13], state observer based methods [14,15], and intelligent algorithm based methods [16,17]. In [6], the current rising time during current chopping control (CCC) is regarded as a medium to reflect the variation of inductance.…”

Section: Introductionmentioning

confidence: 99%

“…In [12], the flux linkage is obtained from the real-time current and voltage and fed into an adaptive neuro-fuzzy inference system to predict the rotor position during running conditions. For smaller memory and simpler computation, an improved flux linkage comparison scheme is proposed in [13], based on estimating a particular rotor position at both low and high speeds. However, the magnetic characteristics of the motor must be obtained previously, a huge memory is needed to store the look-up tables, and the process is complicated.…”

Section: Introductionmentioning

confidence: 99%

Sensorless Estimation of Single-Phase Hybrid SRM using Back-EMF

Tang¹,

He²,

Lee³

et al. 2017

Journal of Electrical Engineering and Technology

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-This paper presents a novel scheme to estimate the rotor position of a single-phase hybrid switched reluctance motor (HSRM). The back-EMF generated by the permanent magnet (PM) field whose performance is motor parameter independent is adopted as an index to achieve the sensorless control. The differential value of back-EMF is calculated by hardware and processed by DSP to capture a fixed rotor position four times for every mechanical cycle. In addition, to accomplish the normal starting of HSRM, the determination method of the turn-off time position at the first electrical cycle is also proposed. In this way, a sensorless operation scheme with adjustable turn on/off angle can be achieved without substantial computation. The experimental verification using a prototype drive system is provided to demonstrate the viability of the proposed position estimation scheme.

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Pulse injection-based sensorless switched reluctance motor driver model with machine learning algorithms

Daldaban

Buzpinar

2020

Electr Eng

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Examination of a Sensorless Rotor-Position-Measurement Method for Switched Reluctance Drive

Cited by 61 publications

References 15 publications

A Position Sensorless Control of Switched Reluctance Motors Based on Phase Inductance Slope

A Position Sensorless Control of Switched Reluctance Motors Based on Phase Inductance Slope

Sensorless Estimation of Single-Phase Hybrid SRM using Back-EMF

Pulse injection-based sensorless switched reluctance motor driver model with machine learning algorithms

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