Robust control of a swarm of UCAVs
Kuo‐Chi Lin, Han Yu, Lei Zhou, Xia Zheng, Alex F. Sisti, Steven M. Alexander · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2002
The control of the Unmanned Combat Air Vehicle's swarm behavior is studied. One command string controls the motion of all Unmanned Combat Air Vehicles in a mission. Each Unmanned Combat Air Vehicle moves according to the control decoded from the same control command string. There is no explicit coordination among them. However, the decoding of a control command string partially depends on other Unmanned Combat Air Vehicles surrounding it. If the control command string is properly chosen, the motion of the swarm of Unmanned Combat Air Vehicles will perform well collectively. Genetic algorithm is used to evolve the control command string. The robustness of the control is studied. Monte Carlo simulation in conjunction with Genetic Algorithm is used to evolve the robust control when wind-gust disturbance exists. The results of different approached are compared.