Avoidance of threat zone by UAV for automated navigation

Unmanned air vehicles (UAV) are considered as technologies of future. Obstacle avoidance is one of the most challenging tasks which the UAV has to perform with high level of accuracy. In this paper, obstacle is considered as a spherical threat zone and a geometric approach is used to develop the algorithm to avoid the collision. The algorithm uses particle swarm optimization (PSO) to evaluate the final parameters of the maneuver. The efficacy and gist of PSO are justified in the paper. The results derived from PSO are verified with other existent mathematical tools to solve a non linear equation. The comparison is done with Mullerpsilas method, Newton-Raphsonpsilas method with Automatic Differentiation and Symbolic differentiation. The algorithm is simulated using Matlab. The level of accuracy and simplicity of the algorithm is demonstrated.