Technology Demonstration of Nitro Gen- Set

EasyChair Preprint no. 13285

Abstract

Drone technology is a globalized blooming technology nowadays, still, the limitation in the Flight Time and Battery Life is an unresolved issue during performance. Multi-rotor drones have limited endurance and speed, making them unsuitable for large-scale aerial mapping, long-endurance monitoring, and long-distance inspection such as pipelines, roads, and power lines. They are inefficient sometimes and require a lot of energy just to fight gravity and keep them in the air. Most drones have a flight time of around 20-30 minutes, which can be a major hindrance when surveying large areas. This means that multiple flights are required to cover larger areas, which can be time-consuming and costly. To unlock the full potential of UAVs in various sectors, researchers and engineers are actively working on resolving this limitation by developing advanced battery technologies and exploring alternative power sources, such as hydrogen fuel cells and solar cells, to extend flight durations and further enhance the versatility and effectiveness of UAVs in these critical fields. To resolve the issue, The Nitro engine is used to drive the set instead of a LiPo (Lithium-Polymer) battery which increases the endurance and decreases the charge time of a drone (instant re-fueling the drone rather than charging it after every 30 min). The engine consists of a gear, dynamo, and voltage. The Nitro engine drives a dynamo using a gear, the dynamo generates power and supplies it to a voltage regulation unit which in turn supplies power to the controller of the drone (flight controller unit) and the propeller motors. This alternative technology is used for better performance of drones.

Keyphrases: Drones, Flight time improvement, LiPo Battery, Nitro Engine

@Booklet{EasyChair:13285,
  author = {V T Gopinathan and E Abhinav and Gopika G Nair and S Rajakeerthani and G P Mohitsabhareesh},
  title = {Technology Demonstration of Nitro Gen- Set},
  howpublished = {EasyChair Preprint no. 13285},

  year = {EasyChair, 2024}}