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Want to quickly and easily analyze UAV autopilot flight logs? Explore the Flight Log Analyzer Tool in MATLAB for customized plots and efficient analysis.

 

Overview

Flying a drone, either manually or autonomously, is a complex task. A drone includes several critical parts such as a chassis or platform, motors and sensors. There are numerous reasons why a drone can crash – from incorrect sensor reading to battery issues. It is essential to tune the performance by analyzing the reasons for any failure in simulation or after the test flight.

A flight log analysis tool takes a drone’s log file as an input and provides various plots for flight analysis. You can use the Flight Log Analyzer app with UAV Toolbox in MATLAB for analyzing UAV autopilot flight logs by creating a customized series of plots. You can load different telemetry log files including TLOG, ULOG, and custom file types. You can also use flight log analysis functions to extract and map signals from a telemetry log for generating custom plots.

 

 

Highlights:

  • Use Flight Log Analyzer app
  • Analyze UAV autopilot flight logs
  • Import custom flight log and signal data
  • Troubleshoot flight issues by identifying anomalies in flight data

 

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Our Speaker

Intan

Intan Nuralisa Mat Dali

           Application Engineer

TechSource Systems

Intan Nuralisa is an Application Engineer at TechSource Systems, Malaysia. She works to improve the adoption of MATLAB and toolboxes in universities around Southeast Asia. Engaging with customers to comprehend their technical and business challenges.

Previously, she worked as Research Assistant at Universiti Teknologi Malaysia that focuses on signal processing, water treatment and desalination processes. She graduated from Universiti Teknologi Malaysia with a Master of Philosophy (MPhil) in Chemical Engineering and a Bachelor Engineering in Chemical-Gas Engineering.

She has built her forte in data analysis, deep learning for communications, statistical analytic with MATLAB. Currently her main interest is in control systems, predictive maintenance, and robotic systems.

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