Methods to Capability Improvement for Multiple UAVs' Control

The multiple unmanned aerial vehicles (UAVs) executing a same task coordinately based on formation flight have been more and more applied in the military and civil domains. To maximize the effectiveness of the multiple UAVs, a new and efficient control system is designed. After reasonably allocating the operator's and the UAVs' functions with a variable autonomous level, an airborne intelligent decision-making system dependent on the developed expert system is adopted to cope with the autonomous task environment uncertainty. In the aspect of the operator, the intelligent control methods like voice, gesture, eye tracking and brain computer interface are applied to realize the natural and efficient human-machine (operator-UAVs) interaction. Simulation experiments demonstrated the practicability and good performance of the designed control system.