Real-Time Flight and Drive Parameter Control for Mission Success
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Solution Overview
Problem
Existing navigation systems for autonomous vehicles inadequately address complex and dynamic operational environments, failing to dynamically adjust flight and drive parameters to ensure successful missions.
Innovation Solution
A system and method that modifies flight and drive parameters in real-time using sensors and a computer application to calculate optimized routes and energy usage based on user-defined goals, considering various environmental and vehicle-specific factors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If pre-programmed routes and real-time GPS data are used for navigation, then basic path-planning is achieved, but the system fails to dynamically adjust parameters for complex and dynamic operational environments
Solution Approach 1:
The system transitions from static pre-programmed routes to dynamic real-time parameter adjustment. The computer application continuously monitors environmental conditions and vehicle state, dynamically modifying flight and drive parameters (speed, altitude, route) to adapt to changing conditions while maintaining mission objectives.
Solution Approach 2:
The system implements closed-loop feedback by monitoring environmental aspects (weather, terrain, traffic) and vehicle parameters (energy consumption, position, speed), comparing actual performance against mission goals, and automatically adjusting parameters to ensure successful mission completion.
2Productivity
If the system monitors and controls multiple parameters in real-time, then optimized performance is achieved, but system complexity increases
Solution Approach 1:
The computer application serves multiple functions: it processes sensor data, calculates optimized routes, determines energy consumption, adjusts flight and drive parameters, and monitors mission progress. This multi-functional approach consolidates complexity into a single integrated system rather than separate specialized systems.
Solution Approach 2:
The system automatically performs parameter optimization without requiring external intervention. The computer application independently analyzes environmental conditions and vehicle state, calculates optimal parameters, and executes adjustments autonomously to achieve mission goals.
3Manufacturing precision
If the system calculates refined critical parameter sets to meet specific mission goals, then parameter optimization is achieved, but computational requirements increase
Solution Approach 1:
The system performs preliminary calculations of baseline parameter sets and energy consumption estimates before finalizing the mission plan. This allows the computer application to pre-determine optimal routes and parameters, reducing the computational burden during actual execution while maintaining high precision.
Data Source
AI summary
The present invention is a system and method for controlling an aviation or road vehicle to optimize performance, where the system can modify flight and drive parameters in real-time to ensure the vehicle can travel from a starting location to a destination location effectively. The system and method monitors and controls parameters of an aircraft or road vehicle and makes calculations that include a baseline-parameter set, a payload-parameter set, and route-parameter set. The system includes sensors coupled with a computer application. The application quantifies each set of data to reach a defined parameter set, further calculating more specific, “critical” parameter sets which recommend an optimized plan to achieve a mission goal. A mission goal might be derived from a critical parameter set.