Work

Reduction of transients in switches using embedded machine learning

Year: 2020

Type: article

Abstract: Non-linear loads can cause transients in electronic switches. They also result in a fluctuating output when the device is switched ON or OFF. These transients can harm not only the switches but also the devices that they are connected to, by passing excess currents or voltages to the devices. By applying machine learning, we can improve the gate drive voltages of the switches and thereby reduce switch transients. A feedback system is built that measures the output transients and then feeds it to a neural network algorithm that then gives a proper gate drive to the device. This will reduce transients and also improve performances of switch based devices like inverters and converters.

Source: International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering

DOI: 10.11591/ijpeds.v11.i1.pp235-241

Authors: P. Suresh, S. George Fernandez, S. Vidyasagar, V. Kalyanasundaram, K. Vijayakumar, Vaidheeswaran Archana, Soham Chatterjee

Institutions: SRM Institute of Science and Technology, National University of Singapore, Nanyang Technological University

Language: English

Topic: Power Quality and Harmonics

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: diamond

OpenAlex ID: W2991527952

FWCI: 0.43

Cites: 16

Cited by: 8

Related to: 10