Direct control strategies based on sensing inductance in switched reluctance motors

Ehsani, M.; Ramani, K.

doi:10.1109/63.484419

Cited by 24 publications

(6 citation statements)

References 13 publications

(10 reference statements)

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“…In a broad perspective, the measurement methods can be categorised as off-line and on-line methods. In case of off-line measurements, the recorded data of applied phase voltage, using either a single-phase AC supply [13,14] or a pulsed DC source [15][16][17][18][19], and phase currents are obtained from the repeated experiments performed by locking the rotor of an SRM at different angular positions. They are further processed either analytically or by means of a software subroutine in a computer [13][14][15][16][17][18][19].…”

Section: Introductionmentioning

confidence: 99%

“…In case of off-line measurements, the recorded data of applied phase voltage, using either a single-phase AC supply [13,14] or a pulsed DC source [15][16][17][18][19], and phase currents are obtained from the repeated experiments performed by locking the rotor of an SRM at different angular positions. They are further processed either analytically or by means of a software subroutine in a computer [13][14][15][16][17][18][19]. The precision of the methods [13][14][15][16][17][18][19] depends on the locking mechanism and the resolution of angular rotation of the rotor in each step of measurement.…”

Section: Introductionmentioning

confidence: 99%

“…They are further processed either analytically or by means of a software subroutine in a computer [13][14][15][16][17][18][19]. The precision of the methods [13][14][15][16][17][18][19] depends on the locking mechanism and the resolution of angular rotation of the rotor in each step of measurement. Moreover, the methods also require extra mechanical arrangements and hardware to rotate and lock the rotor precisely at planned discrete and numerous positions throughout the rotor tooth pitch.…”

Section: Introductionmentioning

confidence: 99%

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A novel and precise on-line digital measurement of unsaturated phase inductance of a switched reluctance motor

Roy

Sengupta

2019

Sādhanā

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This paper presents a simple and accurate method for the on-line measurement of the unsaturated phase inductance of a switched reluctance motor (SRM). The basic principle behind the approach is to obtain the instantaneous flux linkage of the phase, which when divided by the instantaneous current of the corresponding phase will dynamically generate the phase inductance for that rotor position. A numerical division process, based on Newton-Raphson (N-R) iterative method, has been implemented using the sensed current and estimated flux linkage on an FPGA platform to generate the inductance value at each instant. It is ensured in the practical implementation that the iron parts do not saturate. It has been also verified through simulation using standard finite-element method (FEM) software packages. Further, it has been established that the effect of mutual inductance is negligibly small. The proposed method will give the true value of the unsaturated inductance of the phase identified for diagnosis/measurement. Practical results, for the experiments conducted on an existing 4 kW, 1500 rpm Oulton-make SRM, have been also presented. They are further validated against the results obtained from FEM analysis and against previously published results of the phase inductance values for this SRM. The results are found to be in very good agreement.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A novel and precise on-line digital measurement of unsaturated phase inductance of a switched reluctance motor

Roy

Sengupta

2019

Sādhanā

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“…For example, by monitoring current waveforms and computing the rate change of the currents, detection of rotor position in stepping and switched motors has been proposed [5]. In addition, several modulation techniques and a mutually induced voltage measuring technique have been presented [6][7][8][9]. These methods mentioned above are very good; however, they were applied in switched reluctance motors, not SRMs.…”

Section: Introductionmentioning

confidence: 99%

Sensorless synchronous reluctance drive with standstill starting

Lin

Liu²

2000

IEEE Trans. Aerosp. Electron. Syst.

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This paper presents a novel sensorless synchronous reluctance drive system. Based on the dynamic model of the synchronous reluctance motor (SRM), a new rotor position estimator is proposed. This estimator is only related to the rate change of the stator currents. It is not related to the parameters, speed, voltage, and external load of the motor. As a result, the estimator is simple and robust. Based on the proposed estimator, a sensorless synchronous reluctance drive has been implemented. This drive system can start from standstill and accelerate to a rated speed; the traditional open-loop starting method, therefore, is unnecessary. A digital signal processor, TMS-320-C30, is used to implement the estimating and control algorithms. Experimental results show that the proposed system works well. The adjustable speed range can be from 1 r/min to 1800 r/min. Moreover, by adding the position-loop controller, the proposed system can perform as a position control drive as well. Several experimental results validate the theoretical analysis.

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“…Control techniques with self-tuning capability are essential to maintain an optimal performance of a SRM drive, in the presence of parameter variations. It has been shown that parameter variations can alter the inductance profile to a significant extent [3]. Since the control of SRM is essentially based on the inductance profile, it necessitates an on-line self-tuning control strategy for optimum performance.…”

Section: Introductionmentioning

confidence: 99%

Neural network based self-tuning control of a switched reluctance motor drive to maximize torque per ampere

Rajarathnam

Fahimi

Ehsani

IAS '97. Conference Record of the 1997 IEEE Industry Applications Conference Thirty-Second IAS Annual Meeting

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On-line self-tuning control is essential to optimize the performance of a Switched Reluctance Motor (SRM) Drive in the presence of parameter variations. This paper introduces an advanced adaptive Neural Network (NN) based control to maximize torque per ampere in the low speed re@on. The proposed control technique utilizes a heuristic search method to find the change in the optimal excitation instances in case of parameter variations. Based on the results of this heuristic search, the NN employs an incremental learning to adapt its network weights. Computer simulations are performed to verify the applicability of the proposed algorithm. Experimental results are provided to demonstrate the working of the self-tuning controller.

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Direct control strategies based on sensing inductance in switched reluctance motors

Cited by 24 publications

References 13 publications

A novel and precise on-line digital measurement of unsaturated phase inductance of a switched reluctance motor

A novel and precise on-line digital measurement of unsaturated phase inductance of a switched reluctance motor

Sensorless synchronous reluctance drive with standstill starting

Neural network based self-tuning control of a switched reluctance motor drive to maximize torque per ampere

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