Adaptive Flight Gain Control for Smoother Drone Cinematography
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Solution Overview
Problem
Contemporary remote controlled aerial vehicles do not adapt to changing cinematography requirements, resulting in subpar operation with issues like jitter, 'jello' effect, and horizon drift in captured videos.
Innovation Solution
A flight controller system that dynamically adjusts gain values for actuator control based on sensor inputs and control modes, optimizing flight characteristics for different cinematography tasks such as wide angle, action, and panning, by modifying the power signal sent to the thrust motors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If fixed gain values are used for actuator control, then the system is simple to operate, but the video quality deteriorates with jitter and horizon drift
Solution Approach 1:
The patent implements dynamic gain adjustment by continuously monitoring flight parameters (altitude, velocity, attitude) and automatically modifying actuator gain values in real-time. This transforms the static control system into a dynamic one that adapts to changing flight conditions, resolving the contradiction between simple operation and video quality by making the system smart rather than complex.
Solution Approach 2:
The system changes control parameters (gain values) based on flight conditions to optimize video quality. By adjusting gain parameters dynamically according to altitude, velocity, and attitude measurements, the system maintains stable horizon and reduces jitter without requiring complex hardware modifications.
2Speed
If high gain values are used for responsive control, then the aerial vehicle responds quickly to commands, but video quality deteriorates with increased jitter and noise
Solution Approach 1:
The patent implements dynamic gain adjustment by continuously monitoring flight parameters (altitude, velocity, attitude) and automatically modifying actuator gain values in real-time. This transforms the static control system into a dynamic one that adapts to changing flight conditions, resolving the contradiction between simple operation and video quality by making the system smart rather than complex.
Solution Approach 2:
The system changes control parameters (gain values) based on flight conditions to optimize video quality. By adjusting gain parameters dynamically according to altitude, velocity, and attitude measurements, the system maintains stable horizon and reduces jitter without requiring complex hardware modifications.
3Reliability
If low gain values are used for smooth control, then video quality improves with reduced jitter, but the aerial vehicle response becomes sluggish
Solution Approach 1:
The patent implements dynamic gain adjustment by continuously monitoring flight parameters (altitude, velocity, attitude) and automatically modifying actuator gain values in real-time. This transforms the static control system into a dynamic one that adapts to changing flight conditions, resolving the contradiction between simple operation and video quality by making the system smart rather than complex.
Solution Approach 2:
The system changes control parameters (gain values) based on flight conditions to optimize video quality. By adjusting gain parameters dynamically according to altitude, velocity, and attitude measurements, the system maintains stable horizon and reduces jitter without requiring complex hardware modifications.
4Reliability
If adaptive gain control is implemented, then video quality improves by reducing jitter and horizon drift, but the device complexity increases
Solution Approach 1:
The patent implements dynamic gain adjustment by continuously monitoring flight parameters (altitude, velocity, attitude) and automatically modifying actuator gain values in real-time. This transforms the static control system into a dynamic one that adapts to changing flight conditions, resolving the contradiction between simple operation and video quality by making the system smart rather than complex.
Solution Approach 2:
The system changes control parameters (gain values) based on flight conditions to optimize video quality. By adjusting gain parameters dynamically according to altitude, velocity, and attitude measurements, the system maintains stable horizon and reduces jitter without requiring complex hardware modifications.
Data Source
AI summary
An aerial vehicle comprises one or more sensors to environmental data, a communication system to receive control inputs from a user, two or more actuators, with each actuator coupled to a rotary wing. The aerial vehicle also comprises a controller to determine a mode of the aerial vehicle based on the environmental data and the control inputs, each mode indicating a set of flight characteristics for the aerial vehicle, generate a gain value based on the mode, the gain value, when used to modify power signals transmitted to actuators of the aerial vehicle, causes the aerial vehicle to conform within the indicated flight characteristics of the determined mode, generate an output signal modified by the gain value based on the input signal, and transmit a power signal based on the output signal to each actuator of the aerial vehicle.