Plant-Model Wind Compensation for Electric Aircraft Navigation
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Solution Overview
Problem
Modern aircraft face challenges in maintaining optimal flight paths due to environmental factors like wind, which current systems struggle to compensate for effectively, leading to deviations from intended flight plans.
Innovation Solution
A system and method for wind compensation in electric aircraft, utilizing sensors to detect geographical and wind data, and a processor to generate an optimal flight trajectory using a plant model, ensuring the aircraft stays on course despite wind forces.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional flight control systems are used without wind compensation, then the system complexity remains low, but the aircraft deviates from its intended flight path due to wind forces
Solution Approach 1:
The system continuously monitors actual flight path deviations caused by wind and feeds this information back to the flight control system, which then adjusts control surfaces in real-time to compensate for wind effects and maintain the intended flight path
Solution Approach 2:
The system uses weather data and wind forecasts to predict upcoming wind conditions before the aircraft encounters them, allowing the flight control system to proactively adjust the flight path and control surfaces in advance, preventing deviations rather than correcting them after they occur
2Reliability
If a pilot manually compensates for wind conditions, then flight path accuracy can be maintained, but the ease of operation decreases due to increased pilot workload
Solution Approach 1:
The flight control system automatically performs wind compensation functions without requiring direct pilot intervention. The system independently calculates wind effects, determines necessary control adjustments, and executes corrections, freeing the pilot from manual wind compensation tasks while maintaining flight path accuracy
3Measurement precision
If wind compensation systems are implemented, then flight path accuracy improves, but the device complexity increases due to additional sensors and processing requirements
Solution Approach 1:
The system uses a multi-functional integrated unit that combines GPS reception, weather data processing, and flight control functions. This single integrated system performs multiple tasks including receiving geographical position data, processing wind forecast information, calculating compensation trajectories, and controlling flight surfaces, thereby reducing overall system complexity despite the advanced capabilities required
Data Source
AI summary
Provided in this disclosure is a system and methods for wind compensation of an electric aircraft. More specifically, provided in this disclosure is a controller of an aircraft configured to use a plant model for compensating for wind forces. The processor is configured to receive, from the sensor, at least a geographical datum of the electric aircraft.