Training - Courses

SLBE-O: Simulink for Aerospace System Design

Note: A 1 hour test session will be scheduled one day prior to the first day of class. This session is to verify that the visual and audio connection is working properly on your computer. The required product software should be installed for the test session. It is highly recommended that you attend this session to ensure a successful and timely class start.

Based on the Simulink for System and Algorithm Modeling outline, this course is for aerospace engineers who are new to system and algorithm modeling and teaches attendees how to validate designs using Simulink. Topics include:

Creating and modifying Simulink models and simulating system dynamics
Modeling continuous-time, discrete-time, and hybrid systems
Modifying solver settings for simulation accuracy and speed
Building hierarchy into a Simulink model
Creating reusable model components using subsystems, libraries, and model references

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	Detailed course outline

Day 1 of 2
Creating and Simulating a Model	Objective: Create a simple Simulink model, simulate it, and analyze the results. Define the potentiometer system Explore the Simulink environment interface Create a Simulink model of the potentiometer system Simulate the model and analyze results
Modeling Programming Constructs	Objective: Model and simulate basic programming constructs in Simulink. Comparisons and decision statements Zero crossings MATLAB Function block
Modeling Discrete Systems	Objective: Model and simulate discrete systems in Simulink. Define discrete states Create a model of a PI controller Model discrete transfer functions and state space systems Model multirate discrete systems
Modeling Continuous Systems	Objective: Model and simulate continuous systems in Simulink. Create a model of a throttle system Define continuous states Run simulations and analyze results Model impact dynamics

Day 2 of 2
Solver Selection	Objective: Select a solver that is appropriate for a given Simulink model. Solver behavior System dynamics Discontinuities Algebraic loops
Developing Model Hierarchy	Objective: Use subsystems to combine smaller systems into larger systems. Subsystems Bus signals Masks
Modeling Conditionally Executed Algorithms	Objective: Create subsystems that are executed based on a control signal input. Enabled subsystems Triggered subsystems Input validation model
Combining Models into Diagrams	Objective: Use model referencing to combine models. Compare model referencing and subsystems Set up a model reference Use model reference simulation modes View signals in referenced models Store parameters in referenced models
Creating Libraries	Objective: Use libraries to create and distribute custom blocks. Create and populate libraries Manage library links Add a library to the Simulink Library Browser

Prerequisites

MATLAB Fundamentals for Aerospace Applications

Course Length - 2 days