Unpredictable Vehicle Navigation via Randomized State Selection
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Solution Overview
Problem
Current systems for controlling air vehicle movement during surveillance missions near a point of interest are inadequate in reducing detectability by hostile forces and fail to adapt to dynamic environmental conditions, leading to increased risk of detection and potential loss.
Innovation Solution
A method and apparatus for automatically controlling vehicle movement in an unpredictable manner by identifying a current state, selecting a next state using a processor unit, and randomly adjusting attributes such as location, altitude, speed, and orientation to minimize repetition and satisfy mission constraints, thereby reducing detectability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If current automated navigation systems are used to control air vehicle movement during surveillance missions, then the vehicle can maintain stable flight and complete mission objectives, but the vehicle follows predictable flight paths that increase detectability by hostile forces
Solution Approach 1:
The navigation system dynamically adjusts flight parameters including position, altitude, speed, and orientation by randomly selecting from multiple possible next states. This creates unpredictable, non-repeating flight paths that adapt continuously during the mission, making the vehicle difficult to detect while maintaining reliable mission completion.
2Ease of operation
If the air vehicle follows a fixed or predetermined flight path to ensure stable operation and meet mission requirements, then operational reliability is maintained, but the predictability of the path increases the risk of detection and attack by hostile forces
Solution Approach 1:
The system transitions from static predetermined paths to dynamic adaptive navigation. At each decision point, the system randomly selects from multiple valid next states that satisfy mission constraints, creating operationally stable yet unpredictable flight patterns that evade detection.
Solution Approach 2:
The navigation system changes multiple flight parameters simultaneously including position coordinates, altitude, speed, and orientation. By randomly selecting values for these parameters from valid ranges, the system maintains operational stability while creating unpredictable flight behavior that reduces detectability.
3Object-affected harmful factors
If the air vehicle frequently changes flight parameters to reduce predictability and avoid detection, then detectability by hostile forces decreases, but the complexity of navigation control systems increases
Solution Approach 1:
The system manages complexity by randomly selecting from predefined valid ranges for each parameter (position, altitude, speed, orientation) rather than implementing complex optimization algorithms. This approach achieves unpredictable flight paths while keeping the control system relatively simple and computationally efficient.
Data Source
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AI summary
A system and method for controlling movement of a vehicle (200). A current state (238) of the vehicle (200) is identified. The current state (238) comprises a current location of the vehicle (200). A next state (240) for the vehicle (200) is selected by a processor unit (1104). The next state (240) comprises a next location for the vehicle (200). A value for an attribute of the next state (240) of the vehicle (200) is randomly selected. The movement of the vehicle (200) is controlled to move the vehicle (200) from the current state (238) to the next state (240).