Design of controller for speed regulation and reduction of torque ripple in 6/4 switched reluctance motor

Kumari, Seema; Ashok, S

doi:10.1109/itcosp.2017.8303100

Cited by 2 publications

(2 citation statements)

References 9 publications

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“…To analyze and describe the behavior of such motor, a mathematical model is needed. Indeed, the overall behavior of SRM motor can be described by the following equation system [3,10,11]:…”

Section: Modeling Of Switched Reluctance Motormentioning

confidence: 99%

Experimental Sensorless Control of Switched Reluctance Motor for Electrical Powertrain System

Chaibet¹,

Boukhnifer²,

Ouddah³

et al. 2020

Energies

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In this paper a mechanical sensorless control of Switched Reluctance Motors (SRMs) scheme of an electric vehicle (EV) powertrain is presented. The aim is to develop a soft sensors implementation for position and speed measurements of SRM. This contribution is focused on an extended Kalman filter and a sliding mode observer. The proposed observers are designed to generate speed and position estimations with the purpose of achieving highly robust speed control. The performances of these two observers are assessed and their robustness are analyzed. The design also includes a robustness analysis of the proposed mechanical sensorless control scheme under conditions which take the parameter variations and the load torque into account. To carry out this work, experiments are highlighted on an experimental test bench of 8/6 Switched Reluctance Motor prototype.

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“…To analyze and describe the behavior of such motor, a mathematical model is needed. Indeed, the overall behavior of SRM motor can be described by the following equation system [3,10,11]:…”

Section: Modeling Of Switched Reluctance Motormentioning

confidence: 99%

Experimental Sensorless Control of Switched Reluctance Motor for Electrical Powertrain System

Chaibet¹,

Boukhnifer²,

Ouddah³

et al. 2020

Energies

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show abstract

“…e proposed controller achieves minimum output torque ripple at low and medium speed and operates in the single pulse mode at high speed [15]. In [16], by applying the method of direct torque control (DTC), torque ripple and flux are regulated within the hysteresis limit.…”

Section: Introductionmentioning

confidence: 99%

Artificial Neural Network-Based Control of Switched Reluctance Motor for Torque Ripple Reduction

Tariq

Muzzammel

Alqasmi

et al. 2020

Mathematical Problems in Engineering

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Switched reluctance motor is acquiring major attention because of its simple design, economic development, and reduced dependability. These attributes make switched reluctance motors superior to other variable speed machines. The major challenge associated with the development of a switched reluctance motor is its high torque ripple. Torque ripple produces noise and vibration, resulting in degradation of its performance. Various techniques are developed to cope with torque ripples. Practically, there exists not a single mature technique for the minimization of torque ripples in switched reluctance motors. In this research, a switched reluctance motor is modelled and analysed. Its speed and current control are implemented through artificial neural networks. Artificial neural network is found to be a promising technique as compared with other techniques because of its accuracy, reduced complexity, stability, and generalization. The Levenberg–Marquardt algorithm is utilized in artificial neural networks due to its fast and stable convergence for training and testing. It is found from research that artificial neural network-based improved control shows better performance of the switched reluctance motor. Realization of this technique is further validated from its mean square error analysis. Operating parameters of the switched reluctance motor are improved significantly. Simulation environment is created in Matlab/Simulink.

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Design of controller for speed regulation and reduction of torque ripple in 6/4 switched reluctance motor

Cited by 2 publications

References 9 publications

Experimental Sensorless Control of Switched Reluctance Motor for Electrical Powertrain System

Experimental Sensorless Control of Switched Reluctance Motor for Electrical Powertrain System

Artificial Neural Network-Based Control of Switched Reluctance Motor for Torque Ripple Reduction

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