Torque Ripple Minimization in Switched Reluctance Motor by Using Artificial Neural Network

Chenchireddy, Kalagotla; Kumar, V; Eswaraiah, G; Sreejyothi, Khammampati R; Sydu, Shabbier Ahmed; Ganesh, Lukka Bhanu

doi:10.1109/sefet55524.2022.9909305

Cited by 6 publications

(2 citation statements)

References 11 publications

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“…[22] Power electronic converters are an appealing option for the future of electric propulsion because of their integration, which further improves their controllability. [23] Research indicates that, especially in variable-speed drive applications, SRMs can provide up to 20% cost savings and 4% greater efficiency when compared to induction motors. [24] In conclusion, even though SRMs have many benefits, such as fault tolerance and a straightforward design, resolving torque ripple is still a major obstacle to their wider use.…”

Section: Introductionmentioning

confidence: 99%

Optimizing Torque Ripples In Switched Reluctance Motor Via ANN

Vidyasagar,

Kiran,

Nayak

et al. 2024

eatp

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This paper provides a detailed analysis of the performance of SRM motors, focusing on reducing high ripples. In this modern world, there are various types of motors available, among them SRM is getting recognition cause of its inherent advantages such as simple construction, high speed, low cost, high efficiency, and reduced dependency on rare-earth materials and offering significant advantages of both IM and DC brush motors. These traits position SRM as a superior choice among variable-speed motors. But its performance is affected by high ripples and noise. To address this issue, the research inspects the application of Artificial Neural Networks (ANNs) to attenuate torque ripples in SRMs and build up their overall performance. Artificial neural networks are found to be a favourable technique because of their accurate results, simplicity, speed, and stability compared to other methods like PI and HCC, which are undesirable in transient responses. A comprehensive study was performed using MATLAB SIMULINK to demonstrate the positive outcomes, including the presented waveforms

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Section: Introductionmentioning

confidence: 99%

Optimizing Torque Ripples In Switched Reluctance Motor Via ANN

Vidyasagar,

Kiran,

Nayak

et al. 2024

eatp

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“…The significance of brushless direct current (BLDC) motor drives has gained more in the last decades due to their power quality improvement and their extraordinary performance compared with other drives [1], [2]. Field windings and armature windings are located on the stator and rotor, respectively, in DC motors.…”

Section: Introductionmentioning

confidence: 99%

Closed-loop control of BLDC motor using Hall effect sensors

Ramesh¹,

Chenchireddy²,

Reddy³

et al. 2023

IJAPE

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Due to its key advantages of top performance, strong torque, and simple volume, brushless direct current (BLDC) motors are now extensively employed in a variety of industrial sectors, including the automotive industry, robotics, and electrical vehicles. Yet, in some circumstances, it can be challenging to use speed control techniques for specific devices. The major goal of this work is to use a proportional integral derivative (PID) converter to regulate the speed characteristics of BLDC. PID converter is preferred over all other converters because of its straightforward design and straightforward implementation. Using MATLAB simulation results are verified at different reference speed changing conditions, the motor input current and back electromotive force (EMF) values are verified. The speed and torque characteristics are verified during steady and transient state conduction.

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Protection of DC Line with Distributed Generator in Intentional Islanding Mode

Eswaraiah

Laxmi

2022

2022 International Conference on Augmented Intelligence and Sustainable Systems (ICAISS)

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Torque Ripple Minimization in Switched Reluctance Motor by Using Artificial Neural Network

Cited by 6 publications

References 11 publications

Optimizing Torque Ripples In Switched Reluctance Motor Via ANN

Optimizing Torque Ripples In Switched Reluctance Motor Via ANN

Closed-loop control of BLDC motor using Hall effect sensors

Protection of DC Line with Distributed Generator in Intentional Islanding Mode

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