Aerial Vehicle Active Vibration Control for Frame Stability
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Solution Overview
Problem
The increasing presence of aerial vehicles, such as UAVs, in residential areas leads to mechanical vibrations that can cause noise and reduce the longevity of these vehicles due to destructive forces, with existing technologies failing to effectively manage these vibrations.
Innovation Solution
The implementation of active mechanical vibration control systems on aerial vehicles, using sensors and actuators to measure and generate anti-vibrations that cancel or modify vibrations, stabilizing the vehicle, reducing noise, and increasing longevity by utilizing machine learning to predict and counteract vibrations based on environmental and operational data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If active mechanical vibration control systems are implemented on aerial vehicles, then vibration reduction and noise decrease are achieved, but device complexity increases due to additional sensors and actuators
Solution Approach 1:
The patent applies active vibration control by generating anti-vibrations that are equal in magnitude but opposite in phase to the detected vibrations. The actuators convert the harmful vibrational energy into beneficial counteracting forces, effectively canceling out the unwanted vibrations and reducing noise while extending vehicle longevity
Solution Approach 2:
The system employs vibration sensors to continuously monitor vibrations at various locations on the aerial vehicle body. This feedback information is processed by a controller that adjusts the actuator outputs in real-time to maintain optimal vibration cancellation, creating a closed-loop control system that adapts to changing flight conditions
2Stability of the object's composition
If vibration sensors and actuators are added to cancel vibrations, then vehicle stability improves, but weight increases
Solution Approach 1:
The patent implements vibration control systems at specific critical locations on the aerial vehicle body where vibrations have the most significant impact. Sensors and actuators are strategically positioned at joints between structural members and other key locations, providing targeted stabilization without adding weight throughout the entire vehicle structure
3Reliability
If machine learning is used to predict vibrations, then vibration control effectiveness increases, but computational requirements and energy consumption increase
Solution Approach 1:
The machine learning system is trained offline using historical vibration data to create predictive models of vibration patterns under various flight conditions. During actual flight operations, the pre-trained model quickly processes current sensor inputs to predict upcoming vibrations, allowing the control system to prepare counteracting forces in advance without requiring intensive real-time computation
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This solution effectively reduces vibrations, decreases noise, and extends the lifespan of aerial vehicles by actively managing mechanical stress through intelligent vibration control, enhancing operational stability and durability.
Implementation Method 1
vibration sensors may be positioned at joints between structural members of a frame of an aerial vehicle and/or at other locations on the body of the aerial vehicle. The vibration sensors measure vibrations that occur at that location on the body of the aerial vehicle
Implementation Method 2
The measured vibrations may then be used to generate anti-vibrations that are output at or near the same location that will modify out measured vibrations
Data Source
AI summary
Mechanical vibrations are generated on a frame of an aerial vehicle as a response to operation of the aerial vehicle, such as rotation of motors and/or propellers. Likewise, environmental conditions, such as wind, humidity, etc., may also cause vibrations on the frame of aerial vehicles. These vibrations may be destructive to the aerial vehicle, impact stability of the aerial vehicle, and/or result in audible sounds. Disclosed are systems and methods for measuring and/or predicting the vibrations on the frame of the aerial vehicle, generating anti-vibrations, and outputting those anti-vibrations such that the anti-vibrations modify vibrations on the frame of the aerial vehicle.