Optimal path tracking of a quadrotor in the presence of obstacle using the League Championship Algorithm
Ehsan Abbasi, Mostafa Ghayour, Mohammad Danesh, Mohammad Hussein Yoosefian · 2018
Nowadays, cost reduction and optimization has attracted attention of researchers and scientists in many fields. Optimal path tracking for vehicles, which reduces fuel consumption, as well as the distance traversed by the vehicle, has mostly caught attention. Besides, Unmanned Arial Vehicles are in the spotlight because of their great performance in doing a vast majority of jobs, especially those which are perilous for human. One of the most prevailing issues in this field is optimal path tracking. Although different algorithms are presented and despite their acceptable performance, none of them has focused on reducing energy and distance. In this paper a new optimization algorithm is utilized for the latter optimizations. This algorithm is called the Championship Algorithm by its Iranian developer. Combining it with the path tracking problem of the unmanned aerial vehicles, it is shown that its performance is much better than one of the most important existing algorithms (GA). Optimal trajectory tracking problem is also solved to reduce fuel and energy consumption.