Artificial Neural Network based Power Control in High-Speed SRM Systems with Single-Phase H- Bridge Rectifier
Year: 2025
Type: article
Abstract: — This paper presents the design and implementation of an intelligent high-speed Switched Reluctance Motor (SRM) drive using a single-phase H-Bridge rectifier and Artificial Neural Network (ANN) based controller. The ANN is trained to regulate both input power and motor excitation in real-time, improving speed stability and reducing torque ripple. The system employs a DC-link capacitor to smooth the rectified output and feeds the SRM through an asymmetric converter. Experimental results confirm enhanced dynamic response, minimal total harmonic distortion (THD), and energy-efficient performance even under varying load conditions. The system is well-suited for low-cost, high-speed electric drive applications. Keywords—Switched Reluctance Motor, H-Bridge Rectifier, Artificial Neural Network, Speed Control, THD, DC-Link, ANN Controller
DOI: 10.55041/ijsrem45798
Author: Jogeswar Karakamitla
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4409766662