Intelligent Systems for Multiple UAV Operations
نویسندگان
چکیده
The objective of this paper is to demonstrate the powerful impact of an innovative intelligent autonomous mission planner/controller for networked multiple manned/unmanned autonomous vehicles which is applicable to the Future Combat System (FCS), Future Force Warrior (FFW), Future Special Operations Forces (SOF) systems, Land Warrior, and Homeland Defense. For the intelligent vehicles, which consist of multiple heterogeneous unmanned vehicles, the autonomous mission planner/controller includes navigation, obstacle detection and avoidance, waypoint tasking planner, mission trajectory planner, vehicle formation control and wireless communication network. The navigation subsystem is implemented by fusion of the AGNC’s coremicro Palm Navigator, monocular/stereo vision, Doppler radar, and ranging sensors. The intelligent system is designed to guide, navigate, and control each vehicle using multiple control techniques. The intelligent controller guides and navigates each UAV to follow the trajectory generated from the command station according to the mission to properly adapt to the new environment. The implemented intelligent system complies with the ARDEC Multiple Platform Coordination (MPC) Architecture standard. This system is also adaptable to the commercial and industrial applications, such as, Traffic Monitoring, Air Traffic Management, Law Enforcement, Border Patrol, and Search and Rescue missions, etc.
منابع مشابه
Development and Evaluation of a Chase View for UAV Operations in Cluttered Environments
Civilian applications for UAVs will bring these vehicles into low flying areas cluttered with obstacles such as building, trees, power lines, and more importantly civilians. The high accident rate of UAVs means that civilian use will come at a huge risk unless we design systems and protocols that can prevent UAV accidents, better train operators and augment pilot performance. This paper present...
متن کاملQuadrotor UAV Guidence For Ground Moving Target Tracking
The studies in aerial vehicles modeling and control have been increased rapidly recently. In this paper , a coordination of two types of heterogeneous robots , namely unmanned aerial vehicle (UAV) and unmanned ground vehicle (UGV) is considered. In this paper the UAV plays the role of a virtual leader for the UGVs. The system consists of a vision- based target detection algorithm that uses the ...
متن کاملMultiple UAV Formations for Cooperative Source Seeking and Contour Mapping of a Radiative Signal Field
In this paper, four scenarios are presented for cooperative source seeking and contour mapping of a radiative signal field by multiple UAV formations. A source seeking strategy is adopted with saturation, and then it is modified to achieve contour mapping of the signal field with the moving source situation considered. A formation controller used for consensus problem is simplified and applied ...
متن کاملMulti-UAV Simulator Utilizing X-Plane
This paper describes the development of a simulator for multiple Unmanned Aerial Vehicles (UAVs) utilizing the commercially available simulator XPlane and Matlab. Coordinated control of unmanned systems is currently being researched for a wide range of applications, including search and rescue, convoy protection, and building clearing to name a few. Although coordination and control of Unmanned...
متن کاملA New Single-Display Intelligent Adaptive Interface for Controlling a Group of UAVs
The increasing use of unmanned aerial vehicles (UAVs) or drones in different civil and military operations has attracted attention of many researchers and science communities. One of the most notable challenges in this field is supervising and controlling a group or a team of UAVs by a single user. Thereupon, we proposed a new intelligent adaptive interface (IAI) to overcome to this challenge. ...
متن کامل