Improvement of Guidance Performance using Swarm Intercept with Proportional Navigation and Boids Algorithm

Abstract

This paper proposes swarm intercept of multiple unmanned aerial vehicles in order to intercept hostile target swarms with complex and irregular trajectories. A swarm with high mobility and a large number of drones is being studied. Although it is necessary to eliminate this threat, there is a problem in efficient intercept. Conventional guidance law guides to individual target, however, in this study, swarm intercept combinates proportional navigation and Boids algorithm to control interceptor as swarm and guide to intercept swarm target. This research compared intercept simulation results of conventional guidance and swarm intercept, using sequential allocation and swarm intercept termination timing as parameters. As a result of comparing simulation results in terms of hit probability, it was found that swarm intercept until the appropriate timing is expected to improve hit probability.