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CourseAerospace, UAM, Drones & Space Applications open

MATLAB/Simulink simulation course in Aero

Online course of 300 hours in aerospace simulation with MATLAB/Simulink, structured in 6 modules covering aerospace modelling in Simulink, 6DOF flight dynamics, control law design, guidance, navigation and space applications, and verification and code generation, with an assigned technical tutor.

Duration3 months
ModeOnline
LanguageEnglish
Start datesSet by the faculty
AwardSEIUM Institute certificate
Enrol now View syllabus Ask an advisor
Virtual lab · try it before you enrol

Take the controls.

Run a real engineering trade-off from this field. Move the sliders, watch the model react in real time and beat the challenge.

SIM · LIVE ●
Learning outcomes

What you will be able to do

01

Build structured aerospace models in Simulink.

02

Implement six-degree-of-freedom flight dynamics with Aerospace Blockset.

03

Design and tune flight control laws.

04

Simulate navigation and attitude control systems.

05

Verify models with tests, coverage and Monte Carlo analysis.

06

Generate embedded code with traceability to requirements.

07

Develop a complete simulation of an aerospace vehicle.

Profile

Who it's for

  • GNC engineers.
  • Simulation engineers.
  • Flight control engineers.
  • Embedded software developers.
  • Avionics systems engineers.
  • Flight dynamics researchers.
  • Engineering or science graduates looking to join aeronautical manufacturers.
Standards & tools

What you'll work with

  • RTCA DO-178C (software considerations in airborne systems)
  • RTCA DO-331 (model-based development and verification)
  • MathWorks Advisory Board (MAB) Modeling Guidelines (Simulink and Stateflow modelling guidelines)
  • WGS 84 (World Geodetic System)
  • ISO 2533:1975 (standard atmosphere)
  • MIL-HDBK-1797 (flying qualities handbook)
  • ECSS-E-ST-60-10C (control performance for space systems)
  • MATLAB/Simulink
  • Aerospace Blockset
  • Stateflow
  • Simulink Control Design
  • Embedded Coder
Syllabus

6 modules

  1. 1.1The Simulink environment and solvers
  2. 1.2Fixed step and variable step
  3. 1.3Subsystems and custom libraries
  4. 1.4Signals, buses and data types
  5. 1.5Aerospace Blockset: overview
  6. 1.6Reference frames and transformations
  7. 1.7Atmospheric and gravity models
  8. 1.8Parameter management with scripts
  9. 1.9Project management and version control
  10. 1.10Lab: free-fall model with atmosphere
  1. 2.1Equations of motion blocks
  2. 2.2Quaternions and Euler angles
  3. 2.3Aerodynamic models with tables
  4. 2.4Propulsion models
  5. 2.5Actuators and saturations
  6. 2.6Sensors: IMU, GPS and barometer
  7. 2.7Wind and turbulence models
  8. 2.8Trimming with Simulink Control Design
  9. 2.9Linearisation around equilibrium
  10. 2.10Practical exercise: 6DOF model of a UAV
  1. 3.1Stability and augmentation loops
  2. 3.2PID controllers and tuning
  3. 3.3LQR control in flight
  4. 3.4Gain scheduling
  5. 3.5Gain and phase margins
  6. 3.6Frequency-domain analysis
  7. 3.7Stateflow for mode logic
  8. 3.8Altitude and heading autopilot
  9. 3.9Robustness to uncertainties
  10. 3.10Lab: pitch autopilot
  1. 4.1Extended Kalman filter
  2. 4.2Fusion of inertial and GNSS sensors
  3. 4.3Waypoint guidance
  4. 4.4Orbital dynamics in Simulink
  5. 4.5Satellite attitude control
  6. 4.6Reaction wheels and magnetorquers
  7. 4.7Simplified launcher simulation
  8. 4.8Visualisation with FlightGear and Unreal
  9. 4.9Trajectory animation
  10. 4.10Workshop: attitude control with reaction wheels
  1. 5.1Monte Carlo simulation and parameter sweeps
  2. 5.2Testing with Simulink Test
  3. 5.3Model coverage
  4. 5.4MAB modelling guidelines
  5. 5.5Model Advisor and checks
  6. 5.6Code generation with Embedded Coder
  7. 5.7SIL and PIL
  8. 5.8Support for DO-178C
  9. 5.9Requirements management with Requirements Toolbox
  10. 5.10Case study: verification of an autopilot
  1. 6.1Definition of the vehicle and mission
  2. 6.26DOF dynamic model
  3. 6.3Sensor and actuator models
  4. 6.4Control law design
  5. 6.5Navigation and guidance
  6. 6.6Monte Carlo campaign
  7. 6.7Verification and coverage
  8. 6.8Code generation
  9. 6.9Report and presentation
  10. 6.10Final project: final review with your tutor
Methodology, software & labs

How you'll learn

100% online training on the SEIUM campus, with downloadable materials, recorded classes and an assigned technical tutor. There are no fixed timetables: you progress at your own pace within the intake, so you can combine the programme with your job.

Each module combines theory, guided reading of the original standards and applied exercises. The working software is MATLAB/Simulink, Aerospace Blockset, Stateflow, Simulink Control Design and Embedded Coder, in free, academic or evaluation versions. Cases are studied on real procedures: a 6DOF model of a fixed-wing UAV, an autopilot verified through coverage and attitude control of a small satellite. Assessment is continuous by module, plus the final integrative project.

Standards covered: RTCA DO-178C, RTCA DO-331, MathWorks Advisory Board (MAB) Modeling Guidelines, WGS 84, ISO 2533:1975, MIL-HDBK-1797, ECSS-E-ST-60-10C.

Assigned technical tutor:every module ends with a deliverable that your tutor marks individually.
Standards-based learning:guided reading of RTCA DO-178C, RTCA DO-331 and the MAB Modeling Guidelines applied to real cases, not as a theoretical annex.
Industry software:MATLAB/Simulink, Aerospace Blockset, Stateflow, Simulink Control Design and Embedded Coder, in free, academic or evaluation versions.
Final project:a complete Simulink simulation of an aerospace vehicle, from the 6DOF model and control laws to Monte Carlo verification and code generation, reviewed by your tutor.
Flexible format:100% online, no fixed timetables, compatible with full-time work.
Capstone project

Build it end to end

Your final project follows the real engineering workflow, step by step, reviewed by your tutor.

Vehicle and mission
Define the vehicle and its mission.
6DOF model
Build the 6DOF dynamic model with sensors and actuators.
Control and guidance
Design the control laws and the navigation and guidance system.
Monte Carlo and verification
Run the Monte Carlo campaign and verify the model with coverage analysis.
Final project
Generate the code and present the simulation for review by your tutor.
Career opportunities

Where this takes you

GNC engineerSimulation engineerFlight control engineerEmbedded software developerAvionics systems engineerFlight dynamics researcher
Admissions & scholarships

Requirements

  • No prior qualification is required.
  • An internet connection and a computer capable of running the programme software.
  • English sufficient to read technical standards.

Ready to start?

Send your application today. Our admissions team replies within 72 hours with your study plan and funding options.

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FAQ

Frequently asked questions

The programme totals 300 hours over 3 months. You set your own pace within each intake, and your tutor helps you plan the workload around your job.

You work with MATLAB/Simulink, Aerospace Blockset, Stateflow, Simulink Control Design and Embedded Coder, using free, academic or evaluation versions. Your tutor indicates the free alternative wherever one exists.

A SEIUM Institute certificate, awarded on passing the continuous assessment and the final project. It is SEIUM's own qualification, not an official state degree; its recognition depends on the programme completed and the regulations of each country.

Yes. Modules passed are recognised in a higher programme in the same area (postgraduate diploma or master's). Ask about the recognition policy when you enrol.

No prior qualification is required; you need an internet connection, a computer able to run the programme software and English sufficient to read technical standards.

Start dates are set by SEIUM's faculty for each intake. Our admissions team will confirm the next available date when you apply.

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