Distant Mission UAV capability with on-path charging to Increase Endurance, On-board Obstacle Avoidance and Route Re-planning facility
Pandya Garvit Kalpesh , , , ,
Affiliations Department of Aeronautical Engg, Veltech Dr. RR & Dr. SR University, Chennai-600 062, India.
UAVs (Unmanned Aerial Vehicles), especially Quad copters is facing challenges in their mission due to its lower endurance. As such, the missions having long distances are not achievable through Quad copters.
The performance of any vehicle, while testing, is one of the most important factors. This performance is based on range, endurance, altitude, attitude control, VTOL (Vertical Take-Off and Landing), battery life, and other autonomous functionalities. The major problem we are facing in the field of UAVs is battery life. The use of higher mAh battery is not a perfect solution as the weight also increases with the size of the battery and that will then require once level higher mAh battery and this may not end soon.
Several different techniques can be applied to eliminate or reduce the above drawback. One can be, in the mission path itself, take the drone down to the ground, change its battery and continue the mission, which is a kind of out of logic things. The other solution which we can find is the use of a charging dock. In this case, no need to follow the vehicle, everything can be automatic with the help of a sensor and communication system.
The above solution ends the endurance problem but, if the endurance is higher and mission is longer, it necessary to put on necessary sensors for the safety of the vehicle.
Pandya Garvit Kalpesh, “Distant Mission UAV capability with on-path charging to Increase Endurance, On-board Obstacle Avoidance and Route Re-planning facility”, International Journal Of Computer Engineering In Research Trends, 4(1):10-14, January-2017. [InnoSpace-2017:Special Edition]
1. Skysense Company - Charging Pad Datasheet 201601
2. Victor H. L. Cheng: Concept Development of Automatic Guidance for Rotorcraft Obstacle Avoidance. In: IEEE transactions on Robotics and Automation 6(2):252-257, (1990)
3. George Vachtsevanos, Ben Ludington, Johan Reimann, Panos Antsaklis, Kimon Valavanis: Modeling and Control of Unmanned Aerial Vehicles– Current Status and Future Directions. In: Workshop on Modeling and Control of Complex Systems (MCCS), Ayia Napa, Cyprus, (2005)
4. Ryan W. Proud, Jeremy J. Hart, Richard B. Mrozinski: Methods for Determining the Level of Autonomy to Design into a Human Spaceflight Vehicle: A Function Specific Approach. In: NASA Johnson Space Center. (2013)
5. Pulkit Goyal, Ewoud Smeur and Guido de Croon: Mission Planning for Sensor Network Deployment using a Fleet of Drones. In: Delft University of Technology, Delft, Zuid-Holland, 2629 HS, The Netherlands. (2016)
7. Erick Camacho, Marco Robaina, Alessandro Tasca, Pedre Cuberos, Ibrahim Tansel, Sabri Tosungolu: Collision Avoidance Protocol for package Delivering Quadcopters. In: Florida Conference on Recent Advances in Robotics (2015).
9. Video – drone wireless charging system (Youtube.com)
10. Video – World's first home w_ drone charging station (Youtube.com).
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