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Modeling, Simulation, and Flight Control Design of an Aircraft with Simulink
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In this webinar, you will learn how you can apply Model-Based Design with MATLAB and Simulink for air vehicle design and automatic flight control. Engineers working in the aerospace field can use MATLAB and Simulink to improve the design workflow for:
• Defining aircraft geometry and importing DATCOM data to define vehicle forces and moments
• Creating a simulation to understand the vehicle dynamics
• Designing a flight control system with automatic gain generation to stabilize the vehicle and meet requirements
• Performing simulations to verify the design and visualize the simulation in a realistic 3D environment
The primary focus is for engineers whose workflow involves modeling, simulation, and control of aircraft. Many of the Model-Based Design and control concepts shown in this webinar can be applied to a variety of applications.
About the Presenter: Ryan Gordon is the product manager for Aerospace Toolbox and Aerospace Blockset at MathWorks. Before joining MathWorks, Ryan developed models and control algorithms for autonomous UAVs using Simulink at Northrop Grumman Aerospace Systems. He has a bachelor’s degree in aerospace engineering from Saint Louis University and a master’s degree in aerospace engineering focusing on dynamics and control from USC.
• Defining aircraft geometry and importing DATCOM data to define vehicle forces and moments
• Creating a simulation to understand the vehicle dynamics
• Designing a flight control system with automatic gain generation to stabilize the vehicle and meet requirements
• Performing simulations to verify the design and visualize the simulation in a realistic 3D environment
The primary focus is for engineers whose workflow involves modeling, simulation, and control of aircraft. Many of the Model-Based Design and control concepts shown in this webinar can be applied to a variety of applications.
About the Presenter: Ryan Gordon is the product manager for Aerospace Toolbox and Aerospace Blockset at MathWorks. Before joining MathWorks, Ryan developed models and control algorithms for autonomous UAVs using Simulink at Northrop Grumman Aerospace Systems. He has a bachelor’s degree in aerospace engineering from Saint Louis University and a master’s degree in aerospace engineering focusing on dynamics and control from USC.
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