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All Journal International Journal of Electrical and Computer Engineering International Journal of Power Electronics and Drive Systems (IJPEDS)
S. George Fernandez
SRM Institute of Science and Technology
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

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Unmanned and autonomous ground vehicle S. George Fernandez; K. Vijayakumar; R Palanisamy; K. Selvakumar; D. Karthikeyan; D. Selvabharathi; S. Vidyasagar; V. Kalyanasundhram
International Journal of Electrical and Computer Engineering (IJECE) Vol 9, No 5: October 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (682.89 KB) | DOI: 10.11591/ijece.v9i5.pp4466-4472

Abstract

Unmanned and Autonomous Ground Vehicle (UAGV) is a smart vehicle that capable of doing tasks without the need of human operator. The automated vehicle can work during off and on road navigation and also used in military operation such as detecting bombs, border patrol, carrying cargos, search, rescue etc reducing soldier’s exposure to danger, freeing them to perform other duties. This type of vehicle mainly uses sensors to observe the environment and automatically take decisions on its own in unpredictable situation and with unknown information or pass this information to the operator who control the UAGV through various communication when it requires support. This UAGV can send visual feedbacks to the operator at the ground station. An onboard sensor gives the complete environment of the vehicle as signals to the operator.
Reduction of transients in switches using embedded machine learning P. Suresh; S. George Fernandez; S. Vidyasagar; V. Kalyanasundaram; K. Vijayakumar; Vaidheeswaran Archana; Soham Chatterjee
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 11, No 1: March 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (334.407 KB) | DOI: 10.11591/ijpeds.v11.i1.pp235-241

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.
Co-Authors D. Karthikeyan D. Selvabharathi K. Selvakumar K. Vijayakumar P. Suresh R Palanisamy S. Vidyasagar Soham Chatterjee V. Kalyanasundaram V. Kalyanasundhram Vaidheeswaran Archana