A new flux/current method for SRM rotor position estimation

Zeng, Wei; Liu, Chuang; Zhou, Qiang; Cai, Jun; Zhang, Lei

doi:10.1109/icems.2009.5382665

Cited by 13 publications

(5 citation statements)

References 8 publications

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“…Δω r (31) Substituting, values of A, C and ΔA from (24), (26) and 31 (Δi 0 /Δω r ). The reference error 'E P ' in functional quantity for a P n -MRASbased speed estimator can be evaluated as under,…”

Section: Stability Analysis In Speed-torque Domain Of the Proposed Spmentioning

confidence: 99%

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Novel speed estimation technique for vector‐controlled switched reluctance motor drive

Khan

Verma

2019

IET Electric Power Applications

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This article discusses the speed-sensorless vector-controlled SRM-drive. The use of position/speed sensors have few concerns related to it in terms of cost, reliability, and compactness, a few to mention. Therefore, it is necessary to have some estimation strategy which estimates the speed/position. Since the control of the machine is done in dq0-reference frame, so by utilising these dq0-variables a novel speed/position estimation technique i.e. 'P n-MRAS (Net-input-Power-based Model-Reference-Adaptive-System) speed-estimator' is developed for the vector-controlled SRM-drive. The speed-estimator implemented is simple, no look-up table is required and no external circuitry is required for injection of the diagnostic signal. Also, the estimator is free from differentiator and integrator terms. The proposed speed-estimator is stable in all the four quadrants of operation which is proved by performing the stability analysis. The estimator is dependent on two machine parameters (stator-resistance and amplitude of AC-component of self-inductance). The estimator is made robust to changes in stator-resistance by estimating the resistance online by proposed V 0-MRAS resistance-estimator. The drive has been extensively simulated in MATLAB/SIMULINK and results are also verified experimentally through a dSPACE-1104-based laboratory prototype.

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Section: Stability Analysis In Speed-torque Domain Of the Proposed Spmentioning

confidence: 99%

“…In current gradient method, the main idea is that the phases are energised when they have zero inductance slope. Another class of estimators available in the literature is constant flux or current method [22][23][24][25][26]. In this method, the flux linkage is estimated from the terminal variables i.e.…”

Section: Introductionmentioning

confidence: 99%

Novel speed estimation technique for vector‐controlled switched reluctance motor drive

Khan

Verma

2019

IET Electric Power Applications

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“…In non-excitation-based methods, the data obtained from the electrical variables (currents and voltages of the working phases and even non-working phases) can be used in obtaining the position information and hence the rotor speed directly. This method can be broadly divided into inductance-based methods [3,[13][14][15], observer-based approaches [16], back-emf [17] and current-gradient methods [18], constant flux/current techniques [11,[19][20][21][22] and intelligent estimation techniques [8]. The inductance-based method can further be classified as direct inductance method, incremental inductance method [10,23] and mutual voltage method [24].…”

Section: Introductionmentioning

confidence: 99%

Improved MRAS based speed estimation for a vector controlled switched reluctance motor drive

Khan

Verma

2020

IET Electric Power Applications

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This study deals with the unipolar excitation‐based speed sensorless vector controlled switched reluctance motor drive. For speed sensorless operation, Z‐MRAS (Z‐model reference adaptive system) based speed estimator is proposed where ‘Z’ is a fictitious quantity. This novel structure is completely independent of the stator resistance and DC component of self‐inductance. Also, in the formulation, integrator and differentiator terms are absent. The proposed formulation is perceived as stable in the entire four‐quadrant zone of operation. Detailed stability and sensitivity analysis has been carried out for the proposed estimation scheme. The practicality of the proposed formulation is confirmed through simulation in MATLAB/SIMULINK platform and by carrying out the experimentation on a dSPACE‐1104 based prototype.

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“…This method is more efficient for low and medium speed applications. Fluxphase based methods for estimating the rotor angle are presented in [8] [9]. They exploit the flux-current characteristic of the SRM.…”

Section: Introductionmentioning

confidence: 99%

“…FLUX-BASED METHOD FOR SRM POSITION ESTIMATIONThe flux method is a passive (or non-intrusive) method. Its principle is based on the already available measurements of the phase current and voltage to estimate the flux linkage by integration:(8)…”

mentioning

confidence: 99%

Sensorless control of Switched Reluctance Machine

Sarr

Bahri

Berthelot

2016

IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society

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The Switched Reluctance Machine is one of the most promising electrical machine in variable speed applications because of its intrinsic robustness and its fault tolerant capability. However, the performances of the machine are deteriorated when a defect affects the position sensor. This paper describes a sensorless control for the switched reluctance machine: two methods based on the characteristics of the machine are proposed to eliminate the requirement of the position sensor. The first one utilizes the phase inductance characteristic to determine the rotor position by injecting a test signal while the phase winding is non-energized. The second one utilizes the flux characteristic to estimate the position by measuring the phase voltage and current. Both methods are evaluated through intensive simulation and the results show their good performance respectively in low speed and high speed region. The flux-based method, implemented in a FPGA, has been evaluated on a test bed. The experimental results confirm the simulation ones with an average position estimation error of around 2° mechanical in the range between 1/3 and the rated speed.

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A new flux/current method for SRM rotor position estimation

Cited by 13 publications

References 8 publications

Novel speed estimation technique for vector‐controlled switched reluctance motor drive

Novel speed estimation technique for vector‐controlled switched reluctance motor drive

Improved MRAS based speed estimation for a vector controlled switched reluctance motor drive

Sensorless control of Switched Reluctance Machine

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