Aerospace
Learn how you can use MATLAB® and Simulink Fundamentals for Aerospace Applications. MathWorks experts and student teams share tips and tricks on getting started with using MATLAB and Simulink to simulate systems, optimize designs, and develop tools to design aerospace systems.
Sensitivity Analysis with MATLAB for Student Competitions
Learn how to identify the most sensitive design variables and modify code for appropriate design choices to maximize student competition scores.
Model Aircraft Design Optimization with MATLAB
Optimize the design of your model aircraft using MATLAB. Set up an optimization problem and define your objective function and design variables. Use the fixed-wing object to compute stability derivatives and use them as optimization constraints.
Building Graphical Aircraft Design Tools
Build interactive design tools to reduce development time. Zachary Leitzau from Embry-Riddle Aeronautical University demonstrates the use of a self-built app to help design a model airplane.
Airframe Optimization with MATLAB
Follow Joshua Williams from Cornell University Unmanned Air Systems (CUAir) as he demonstrates the use of a genetic algorithm to optimize airframe sizing for model airplanes.
Simulating Quadcopter Missions with Simulink and ROS
Simulation is a great way to test and tune control algorithms for quadcopters. Julien Cassette talks about using Simulink, Robotics Operating System (ROS), and Gazebo to simulate quadcopter missions from student competitions.
Autopilot Development Using Simulink
Claudio Conti of Sapienza Flight Team at Sapienza University of Rome joins Connell D’Souza to talk about using Model-Based Design and real-time simulation to design a custom autopilot.
