Cooperative Control Theory of Cluster System and Its Application in Aircraft Cluster

Professor Xiwang Dong
Beijing University of Aeronautics and Astronautics, China

Cluster intelligence is an important research field of the new generation of artificial intelligence. Aircraft is a typical object in cluster system, which has a broad application prospect in both military and civil fields. Cooperative control is the guarantee and way of intelligent emergence of cluster system. The cluster system represented by the aircraft cluster has the typical application characteristics of large scale, openness, high dynamic and strong robustness. These features enable distributed implementation of related algorithms for cluster system collaborative control. This report mainly introduces the distributed time-varying formation control technology, formation tracking control technology and formation-containment control technology in cluster system collaborative control, and demonstrates the effectiveness of the proposed technology combined with a series of flight tests on the UAV cluster. Finally, the application of the competition of intensive formation crossing race in the Air Force Unmanned Aerial Vehicle Cluster System Challenge is demonstrated as an example, and the possible development direction of the future is summarized.

Biosketch

Xiwang Dong, Professor and doctoral supervisor of Beijing University of Aeronautics and Astronautics, Dean of Unmanned Systems Research Institute of Beijing University of Aeronautics and Astronautics, Deputy chief engineer of Shenyang Aircraft Design and Research Institute of Aviation Industry Corporation of China in the field of artificial intelligence, Deputy secretary general of Chinese Institute of Command and Control, National leading talent, Beijing Outstanding Youth, National Outstanding Youth. He has been engaged in cluster intelligence, collaborative guidance and control, collaborative decision planning and aircraft cluster research for a long time, and attaches equal importance to theory and practice. He has developed a cluster intelligence collaborative verification platform based on drones and unmanned vehicles and carried out a series of tests and validations. He has supported the completion of the UAV cluster speed crossing flight tasks of the three Air Force Unmanned Competition and obtained the best results, and won the fixed wing cluster title again. As the first and corresponding author, he has published more than 100 SCI papers in IEEE TAC, TCST and other journals and Automatica and other internationally renowned journals, with a total of more than 5,000 citations, and has been selected as a highly cited scholar in China and the top 2% of top scientists in the world by Elsevier for a long time. He has published 3 English monographs in Springer and Taylor Francis, and authorized/accepted more than 30 national invention patents. He has won the first prize of Military Technology invention, the third prize of National Defense Technology invention, the first prize of Scientific and Technological Progress of the Chinese Institute of Command and Control, the first prize of Innovation Award, the Young Scientist Award, the first prize of Technological invention of the China Invention Association, the second prize of the China Industry-academy-Research Cooperation Innovation and Promotion Achievement Award, and the Wu Wenjun Artificial Intelligence Outstanding Youth Award.