Sivaranjini_Srikanthakumar_2011.pdf (994.17 kB)
Optimization-based safety analysis of obstacle avoidance systems for unmanned aerial vehicles
journal contribution
posted on 2012-12-07, 14:33 authored by Sivaranjini Srikanthakumar, Cunjia LiuCunjia Liu, Wen-Hua ChenWen-Hua ChenThe integration of Unmanned Aerial Vehicles (UAVs) in airspace requires new methods to certify collision avoidance systems. This paper presents a safety clearance process for obstacle avoidance systems, where worst case analysis is performed using simulation based optimization in the presence of all possible parameter variations. The clearance criterion for the UAV obstacle avoidance system is defined as the minimum distance from the aircraft to the obstacle during the collision avoidance maneuver. Local and global optimization based verification processes are developed to automatically search the worst combinations of the parameters and the worst-case distance between the UAV and an obstacle under all possible variations and uncertainties. Based on a 6 Degree of Freedom (6DoF) kinematic and dynamic model of a UAV, the path planning and collision avoidance algorithms are developed in 3D space. The artificial potential field method is chosen as a path planning and obstacle avoidance candidate technique for verification study as it is a simple and widely used method. Different optimization algorithms are applied and compared in terms of the reliability and efficiency.
History
School
- Aeronautical, Automotive, Chemical and Materials Engineering
Department
- Aeronautical and Automotive Engineering
Volume
65Issue
1-4Pages
219-231Citation
SRIKANTHAKUMAR, S., LIU, C. and CHEN, W-H, 2012. Optimization-based safety analysis of obstacle avoidance systems for unmanned aerial vehicles. Journal of Intelligent and Robotic Systems, 65 (1-4), pp. 219 - 231Publisher
© Springer Science+Business Media B.V.Version
- AM (Accepted Manuscript)
Acceptance date
2011-04-18Publication date
2012Copyright date
2011Notes
This article was published in the Journal of Intelligent and Robotic Systems [© Springer Science+Business Media B.V.]. The definitive version is available at: http://link.springer.com/article/10.1007/s10846-011-9586-0?LI=true#. The original publication is available at www.springerlink.com.ISSN
0921-0296eISSN
1573-0409Publisher version
Language
- en