Intelligent Cooperative Planning and Control for Multiple UAVs and USVs
Description
Unmanned equipment and systems, represented by Unmanned Aerial Vehicles (UAVs) and Unmanned Surface Vehicles (USVs), are a promising area of research. Based on intelligence and informatics, they can efficiently transmit tactical battlefield information and provide real-time network access for new equipment updates, which is an effective way to navigate complex environments and enhance synergy capabilities. Unmanned aerial vehicles have maneuverability advantages. Unmanned surface equipment, represented by unmanned ships, has advantages in terms of carrying capacity and long-term self-sustainment. Collaborative control and planning of multiple unmanned platforms is a popular topic in intelligent unmanned system control research. In the context of informationization, network, and system confrontation, the coordination of multiple unmanned platforms is used to enable information and resource sharing throughout the entire unmanned system. This maximizes the utilization of their respective advantages and improves the operational effectiveness of the entire system, which has significant theoretical and practical value. Based on years of research, this paper studies the key theories and technical problems of cooperative path planning and formation control for multiple unmanned platforms, using UAVs and USVs as examples, and provides corresponding control algorithms and simulations.
More details
Persons
Ji Wanfeng, male, doctor, associate professor. He has long been engaged in teaching and scientific research in the field of ship positioning and navigation, and has made great achievements in ship navigation and aircraft route planning. He was awarded by the second prize for military (provincial) scientific and technological progress for once, and the third prize for once. Awarded by the third prize for excellent military theory achievement for once. He has published more than 30 papers and 6 monographs.
Ma Peibei, female, doctor, professor, doctoral supervisor. She has been working on collaborative control and application of unmanned aircraft and solving the UAV cluster and human/unmanned collaborative control problems for a long time. She has many important achievements, including over thirty projects, such as National Natural Science Fund, National Social Science Fund, National Science and Technology Foundation Strengthening Program Fund and Military Scientific Research Project, and the Military Science and Technology Progress Award, Navy Military Theory Award, the second prize of China Aviation Industry Science and Technology Progress Award, third prize of National Defense Science and Technology Progress Award, and Aviation Society Science and Technology Progress Award; Authorized by 13 national invention patents and 4 software copyrights; More than 100 papers were published in various journals and high-level conferences in China and other countries; published 8 books.
Han Xu, lecturer, doctor. He's research interests are in the field of ship motion planning, guidance and control and aviation safety. He has published 15 papers, and participated in 4 scientific research projects.
Qu Fangbing, female,lecturer,master. Her research interests include autonomous vehicles, unmanned aerial vehicles, and counter-unmanned systems. She has published five papers and participated in two scientific research projects.
Content
Overview of Collaborative Planning and Control of MultiUnmanned Offshore Platform.- Modeling of UAV Track Planning in Threat Environment.- Track Planning of Single UAV.- MultiUAV Cooperative Trajectory Planning.- MultiUAV Cooperative Formation Control.- Research on MultiUAV Cooperative Formation Control under Communication Delay.- Route Planning for USV.- Tracking Control of USV.- Crossdomain Cooperative Development of UAVs and USVs.