Robust uninhabited air vehicle active missions
a technology for uninhabited air vehicles and active missions, applied in the field of training and monitoring of uninhabited air vehicles, can solve the problems of increasing the undetected surveillance capability of current uavs, limited redundancy, and insufficient safety and reliability for autonomous operation over populated areas or in airspace. , to achieve the effect of improving the outcome of missions and simulation of missions
Active Publication Date: 2007-03-15
LOCKHEED MARTIN CORP
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AI Technical Summary
Benefits of technology
The present invention provides a way to simulate the environment a UAV will operate in and how it will perform a mission based on those simulations. The simulation takes into account environmental factors and the mission objectives. The command sequence is then optimized using a genetic algorithm or neural net to improve the outcome of the mission. The optimized command sequence is compiled and encoded into a small package that can be sent to the UAV. The UAV then executes the mission while tracking its location using the simulated environment. The simulation results provide an approximation of the current state of the UAV.
Problems solved by technology
In addition, because the aircraft is intelligent, communication with the vehicle is unnecessary thus increasing its undetected surveillance capability.
Current UAVs have not met the degree of safety and reliability required for autonomous operation over populated areas or in airspace shared with commercial aircraft.
This is particularly evident when UAV mishap rates are compared to those of piloted systems.
Compared to piloted aircraft systems, current UAVs are designed to be very low cost, use smaller low-power commercial off-the-shelf components and have very limited redundancy.
Unfortunately, the lower requirement for reliability has led to higher failure rates.
Method used
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[0011] It is desirable for a UAV operating over hostile territory to be undetectable. Towards that end, limiting or eliminating radio transmissions to and from the UAV decreases the likelihood of detection. Therefore, a UAV capable of operating autonomously without the need to report its status to a remote control system and receive commands from it is less detectable. Further, an autonomous UAV is not vulnerable to having its commands overridden by an outside source.
[0012] In order to achieve this goal of autonomy, a UAV must incorporate all decision making into the vehicle while executing a mission. One question that arises is how to best communicate the mission to the UAV. The mission may be represented by static waypoints and commands. However, it can be more efficient to represent the mission in a programmatic or algorithmic manner.
[0013] The co-pending application “Optimistic Distributed Simulation for a UAV Flight Control System”, Ser. No. ______ (unassigned, attorney docke...
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A command sequence for an autonomous UAV mission is optimized by simulating the performance of a mission in a model environment. Using a genetic algorithm, neural net, or other suitable technique this command sequence is then optimized, to improve the outcome of the mission. A factor in selecting an optimal command sequence will be its compressability. A set of one or more optimal command sequences is compiled. Each optimal command sequence is encoded into an algorithmic active packet of minimum size for uploaded to the UAV, which then executes the mission. To track the UAV in its performance of the mission without compromising its location, the active packets are executed in the simulated environment. The simulated environment is continually updated with the most current available information. The simulation results are an approximation of the current state of the UAV.
Description
Background of the Invention [0001] 1. Field of Invention [0002] The invention relates generally to the field of Uninhabited Air Vehicles (UAVs), and more particularly, it relates to a method of training and monitoring a UAV for a specific mission. [0003] 2. Description of Related Art [0004] Autonomous unmanned air vehicles (UAV) have great potential for military and civilian use. Clearly, intelligent unmanned vehicles can readily be sent into hostile situations without fear of casualties. In addition, because the aircraft is intelligent, communication with the vehicle is unnecessary thus increasing its undetected surveillance capability. [0005] Current UAVs have not met the degree of safety and reliability required for autonomous operation over populated areas or in airspace shared with commercial aircraft. Autonomy technologies that can provide reflexive responses and rapid adaptation (as exhibited by a pilot) to compensate for a vehicle's structural, perceptual and control limitat...
Claims
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IPC IPC(8): G06G7/48
CPCG01C23/00B64C2201/141G05D1/0088B64U2201/10
InventorBUSH, STEPHEN FRANCIS
OwnerLOCKHEED MARTIN CORP