Aircraft Turbulence Detection Using Air-Ground Motion Difference
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Solution Overview
Problem
Unmanned aircraft lack the ability to directly perceive turbulence through sensory impressions, making it difficult for operators to respond appropriately to turbulence, which can lead to excessive structural loads.
Innovation Solution
An apparatus with first and second measuring devices and a computing system to determine turbulence intensity and frequency of occurrence, classifying turbulence and transmitting information to an operating unit for operator response.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If unmanned aircraft are equipped with turbulence detection apparatus, then the operator's ability to respond to turbulence is improved, but the device complexity increases
Solution Approach 1:
The turbulence detection system is segmented into distinct functional modules: a first measuring device for aircraft movement relative to earth, a second measuring device for aircraft movement relative to air, and a computing system that processes the difference between these measurements. This segmentation allows each component to be optimized independently while maintaining overall system reliability.
Solution Approach 2:
The computing system acts as an intermediary that receives data from both measuring devices, calculates the difference between them to determine turbulence intensity, and transmits processed information to the operating unit. This intermediary processing layer simplifies the overall system architecture by centralizing the complex computational tasks.
2Reliability
If turbulence detection and classification is implemented, then the operator can take timely counter-measures, but the loss of time for processing and transmitting data increases
Solution Approach 1:
The computing system continuously processes turbulence data and maintains ready-to-transmit information about turbulence intensity and classified turbulence frequency. By preparing this information in advance during normal flight operations, the system can immediately alert the operator when turbulence thresholds are exceeded, eliminating delays in critical response moments.
Solution Approach 2:
The system establishes a continuous feedback loop where turbulence measurements are constantly monitored, processed, and transmitted to the operating unit. This real-time feedback mechanism ensures the operator receives timely information about turbulent flight states without significant processing delays, enabling prompt counter-measures.
3Strength
If continuous turbulence monitoring is performed, then the structural load on the aircraft is minimized, but the use of energy by the measuring and computing system increases
Solution Approach 1:
The computing system monitors multiple parameters including the difference between first and second measured values (turbulence intensity) and the frequency of classified turbulences. By tracking these parameter changes over time, the system can detect turbulent flight states and alert operators to reduce structural exposure, while the computational approach remains efficient by focusing on specific critical parameters rather than continuous full-spectrum analysis.
Data Source
AI summary
An apparatus for detecting and evaluating turbulence for an aircraft. The apparatus contains a measuring device for acquiring a value, which indicates a movement of the aircraft relative to the earth, and a second measuring device for acquiring a second value, which indicates a movement of the aircraft relative to the air. The apparatus contains a computing system which receives the two values and determines a difference between the first value and the second value and, on the basis of the difference, a turbulence intensity. The computing system compares the second value with a predefined value range and classifies turbulence as classified turbulence if the second value departs from the predefined value range. The computing system determines the frequency of occurrence of such classified turbulences and detects a turbulent flight state on the basis of the determined turbulence intensity and the frequency of occurrence of the classified turbulences.