UAV Digital Twin Trajectory Prediction for Mission Feasibility
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Solution Overview
Problem
UAVs face challenges in achieving control accuracy in complex scenarios due to simplified kinematics and dynamics modeling, leading to mission failures and property loss due to insufficient control accuracy.
Innovation Solution
A method for feasibility evaluation of UAV Digital Twin based on the Vicon motion capture system, utilizing a mission feasibility evaluation model with a UAV trajectory prediction module and a mission feasibility determination module, which employs a Temporal Sliding-Long Short-Term Memory (TS-LSTM) model to predict future flight trajectories and assess mission feasibility by comparing the position difference between the flight trajectory endpoint and a preset mission point.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If simplified kinematics and dynamics modeling is used for UAV, then device complexity is reduced, but control accuracy deteriorates leading to mission failures
Solution Approach 1:
The system performs preliminary action by predicting the future flight trajectory of the UAV before the mission is executed. The Digital Twin model forecasts the UAV's flight path in advance, allowing the system to evaluate mission feasibility before commitment, thereby preventing mission failures due to insufficient control accuracy while maintaining simplified modeling.
Solution Approach 2:
The patent creates a Digital Twin copy of the UAV that replicates its flight characteristics and behavior. This virtual copy allows for accurate trajectory prediction and mission feasibility evaluation without requiring complex real-time modeling of the physical UAV, thus maintaining device simplicity while improving control accuracy assessment.
2Measurement precision
If Vicon motion capture system is used to establish UAV Digital Twin, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The Vicon motion capture system serves as an intermediary that provides high-precision position and attitude data to the Digital Twin model. This external measurement system allows the patent to achieve accurate trajectory prediction without embedding complex sensing systems directly in the UAV, thus improving measurement precision while keeping the UAV itself relatively simple.
3Loss of time
If mission feasibility evaluation is performed in advance, then loss of time is reduced by preventing failures, but use of energy increases due to additional computing requirements
Solution Approach 1:
The system performs partial action by evaluating only the feasibility aspect of the mission using the Digital Twin trajectory prediction, rather than conducting full-scale simulations or tests. This selective evaluation approach reduces computational energy consumption while still preventing mission failures and avoiding time loss, as the feasibility assessment is sufficient to determine whether to proceed with the mission.
Data Source
AI summary
A system and a method are provided for feasibility evaluation of UAV Digital Twin based on Vicon motion capture system is disclosed, which establishes a mission feasibility evaluation model according to flight history data of a target UAV acquired by the UAV Digital Twin system. The mission feasibility evaluation model includes a UAV trajectory prediction module and a mission feasibility determination module. The UAV trajectory prediction module acquires real-time position and attitude information of the target UAV according to the Vicon motion capture system, and predicts target flight trajectory of the target UAV according to the real-time position and attitude information. The mission feasibility determination module compares the position difference between an end point of the target flight trajectory and preset designated mission point to evaluate feasibility of target mission of the target UAV.