Aircraft Wind Compensation Control for Hovering Stability
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Solution Overview
Problem
Current aircraft stabilization technologies, particularly for aerostats, face challenges in reaction time, effectiveness during hovering flights, and precision due to slow reaction times and limited stabilization capabilities in turbulent environments, especially during loading/unloading phases.
Innovation Solution
An aerostat system equipped with high-frequency wind sensors (0.1Hz to 1Hz) and actuators that send instructions directly to aircraft propulsion and control surfaces without human validation, using a database to associate wind measurements with control instructions, allowing for real-time compensation of wind effects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If traditional piloting or warning technologies are used for aircraft stabilization, then the system complexity is reduced, but the reaction time is too long to respond to sudden gusts or turbulence
Solution Approach 1:
The system performs preliminary action by continuously measuring wind conditions ahead of time and maintaining a database of pre-computed control instructions for various wind scenarios. When turbulence is detected, the system immediately retrieves and applies the appropriate pre-computed control instructions, eliminating the delay associated with real-time calculation of control responses.
Solution Approach 2:
The invention replaces traditional mechanical pilot response or simple warning systems with an automated electronic control system that uses sensors, processors, and actuators. This substitution enables much faster reaction times by eliminating human response delays and using electronic signal processing to instantly detect wind changes and apply compensating control forces.
2Adaptability or versatility
If absorption technologies with mechanical systems are used, then flight stabilization is achieved during cruising, but the system is not effective during hovering flight and only stabilizes in the direction of flight
Solution Approach 1:
The control system is designed with universality to handle multiple flight modes including hovering, cruising, and transitional phases. The database contains pre-computed control instructions for various wind conditions and flight states, allowing the system to provide effective stabilization regardless of whether the aircraft is hovering or cruising, and in all directional axes rather than just the direction of flight.
Solution Approach 2:
The system dynamically adapts its control strategy based on the current flight mode detected by sensors. During hovering flight, the control instructions are specifically tailored to maintain position stability, while during cruising, they optimize for forward flight stability. This dynamic adaptation ensures reliable stabilization across all operational phases.
3Manufacturing precision
If traditional stabilization systems are used, then the system structure is simpler, but the precision of hovering flight is degraded by gusts during loading and unloading phases
Solution Approach 1:
The system continuously monitors actual aircraft position and wind conditions using sensors, compares this feedback with desired position, and automatically adjusts control instructions from the database to compensate for deviations. This closed-loop feedback control maintains high precision during hovering flight even in turbulent conditions, ensuring accurate positioning during loading and unloading operations.
Data Source
Figure 1a~1b
Figure 2~3
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AI summary
The present invention relates to an aircraft (1), comprising: at least one sensor (2) for measuring a wind (3); actuators (4) (motors (41), control surfaces (42), etc.); a data base (6) embedded aboard the aircraft (1), the data base (6) associating various values of wind measurement with various set points for the attention of the actuators (4). The aircraft (1) furthermore comprises means (5) of analysis and control, which are arranged so as, or programmed so as: - to receive values of wind measurement originating from the at least one sensor (2), - searching, inside the data base (6), for a correspondence of the wind measurement values originating from the at least one sensor (2), and determining (as a function of this search) the directives to be dispatched to the actuators (4), - dispatching these determined directives to the actuators (4).