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

المؤلفون المشاركون

Tariq, Iqra
Muzzammel, Raheel
Alqasmi, Umar
Raza, Ali

المصدر

Mathematical Problems in Engineering

العدد

المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-31، 31ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2020-12-07

دولة النشر

مصر

عدد الصفحات

31

التخصصات الرئيسية

هندسة مدنية

الملخص EN

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.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Tariq, Iqra& Muzzammel, Raheel& Alqasmi, Umar& Raza, Ali. 2020. Artificial Neural Network-Based Control of Switched Reluctance Motor for Torque Ripple Reduction. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-31.
https://search.emarefa.net/detail/BIM-1202488

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Tariq, Iqra…[et al.]. Artificial Neural Network-Based Control of Switched Reluctance Motor for Torque Ripple Reduction. Mathematical Problems in Engineering No. 2020 (2020), pp.1-31.
https://search.emarefa.net/detail/BIM-1202488

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Tariq, Iqra& Muzzammel, Raheel& Alqasmi, Umar& Raza, Ali. Artificial Neural Network-Based Control of Switched Reluctance Motor for Torque Ripple Reduction. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-31.
https://search.emarefa.net/detail/BIM-1202488

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1202488