The platform of modern air combat fighters is developing towards being unmanned, intelligent, highly maneuverable and stealthy. Compared with a powerful enemy possessing high stealth, strong radar sensing and large maneuverability, an unmanned combat aerial vehicle (UCAV) with weak detection and mobility needs to use a cooperative method involving multiple UCAVs to carry out a confrontation. In view of this mission scenario, this article proposes a multi-UCAVs cooperative autonomous maneuver decision method. During air combat, multiple UCAVs improve combat effectiveness through collaborative sensing and collaborative confrontation. This article uses 3V1 intelligent air combat as an example to illustrate the role allocation and task allocation method. For different roles, we construct the situation function of UCAVs and design the corresponding autonomous maneuver decision algorithm. To verify the effectiveness of this method, this article conducts simulation experiments of 3V1 close-range air combat autonomous maneuver decision. The results showed that our UCAV achieved victory under conditions of poor maneuverability and completed role switching during the combat process. These results verified the effectiveness of the proposed method.