Path Planning Algorithm Based On Particle Swarm Optimization

The UAV Path Planning is the key technology to UAV mission system and the technology guarantee that UAV can flight by itself. A path planning for unmanned aerial vehicles based on Particle Swarm Optimization (PSO) is presented. The main contributions are summarized as follows:1. Researched on the basic model and algorithm of path planning for UAV, It built the terrain and threat model, then researched terrain simulation algorithm, threat mountain simulation algorithm, and equivalent terrain simulation algorithm with value algorithm . Digital map after being processed satisfies the request of path planning for UAV.2. Introduced a route planning for unmanned aerial vehicles based on improved Particle Swarm Optimization (PSO), by which it solved the conflict of global optimum and the volume of data in reference path planning, reduced the parameter and speed up the calculation of optimal path planning.3. Researched on real-time flight trajectory planning based on the preflight planning, thus aircraft can avoid new threat or the thread location which was changed effectually with local path adjusting.4. On the base of preflight and online planning algorithm, the UAV path planning algorithm simulation program is designed and implemented.