Wind Direction and Speed Estimation for Quadrotor Based Gas Tracking Robot

Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 425)

Abstract

In gas extraction sites, the incidents of gas leaking poses a damage to workers on site. The protection for the workers is essential. However, due to the colorless and odorless nature of natural gas, it is difficult for humans to identify leaks. This paper proposes a quadrotor based gas tracking robot to be used in hazardous gas localization areas, and specifically, to detect methane leak from gas extraction sites. For the quadrotor to fulfill this purpose, it requires the ability to detect wind direction and speed, an endowment that commercial quadrotors lack. The need to detect wind direction and speed stems from the fact that gas plumes travel downwind, but the quadrotor needs to find the source of the leak, and hence, must determine the upwind direction to locate the source. In order to equip the quadrotor with the above skills, a wind direction and speed estimation algorithm based on Euler angles-velocity vectors has been proposed. For comparison purposes, we compared the proposed method with a generic ultrasonic wind sensor. We concluded that the proposed method achieves an error percentage as low as 10.73% for wind speed, and 9.09% for wind direction estimation. Thus, the algorithm is a significant addition to the quadrotors’ capabilities, enabling the quadrotor to trace upwards, against the traversal of the gas plume, and carry out accurate calculations.

Keywords

Wind Speed Wind Direction Inertial Measurement Unit Inverse Tangent Function Upwind Direction 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgement

This work was supported by the Sunway Internal Grant scheme (Grant No: INT-FST-CIS-2016-03) at Sunway University, Malaysia.

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Copyright information

© Springer Science+Business Media Singapore 2018

Authors and Affiliations

  1. 1.Faculty of Science and TechnologySunway UniversityBandar SunwayMalaysia

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