MATLAB/Simulink simulation course in Aero
About our
The Simulation with MATLAB/Simulink in Aero course offers an immersive experience in the modeling and simulation of aeronautical systems, using MATLAB/Simulink tools. It focuses on practical applications for the design, analysis, and control of systems, covering areas such as flight dynamics, aircraft control, propulsion, and avionics systems. The course includes the analysis of complex models and the validation of results, with special attention to data visualization and the development of simulation prototypes relevant to the development of aerospace engineering. The program provides practical experience in model creation, simulations, and solution development, with the aim of producing systems analysts, simulation engineers, and modeling specialists with a solid theoretical and practical foundation in aeronautics. Topics such as digital control, signal processing, and systems optimization, essential for research and development in the aerospace industry, are addressed.
MATLAB/Simulink simulation course in Aero
- Format: Hybrid
- Duration: 3 months
- Hours: 300 H
- Language: English / Spanish
- Registration date: 23-10-2026
- Start date: 12-12-2026
- Available places: 2
799 $
Competencies and results
What you will learn
1. Advanced Aerospace Simulation: MATLAB/Simulink.
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Master the analysis of complex aerospace systems, including the study of crucial phenomena such as flap-lag-torsion couplings, essential for rotor blade stability, whirl flutter instability, a critical factor in aircraft design, and fatigue analysis to predict the service life of structures.
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Apply advanced simulation techniques to dimension aerospace components using finite element (FE) methods. This includes the design of laminates fabricated from high-performance composite materials, the analysis of structural and bonded joints, optimizing the strength and weight of structures.
- To delve into damage tolerance methodologies, which allow for the evaluation of a structure’s capacity to withstand damage, and to master Non-Destructive Testing (NDT) techniques such as UT (Ultrasound), RT (Radiography), and thermography, for the early detection of defects without damaging components.
2. Helicopter Simulations: Dynamic Modeling in MATLAB/Simulink.
Here is the requested content:
## What Will You Learn?
1. Modeling and Simulation:
* Develop dynamic helicopter models using MATLAB/Simulink.
* Understand and simulate the behavior of complex rotor systems.
2. Structural and Dynamic Analysis:
* Analyze flap-lag-torsion couplings, whirl flutter, and fatigue.
* Evaluate the stability and dynamic response of helicopter rotors and structures.
3. Composite Materials Design:
* Dimension composite laminates, joints, and bonded joints with FE.
* Optimize structural design for strength and durability.
4. Damage Tolerance and Non-Destructive Testing:
* Implement damage tolerance and NDT (UT/RT/thermography).
* Evaluate structural integrity using advanced inspection techniques.
3. Comprehensive user-oriented design and validation (from modeling to manufacturing)
You will learn to integrate the entire product development process, from initial model conception to final validation, applying user-centered methodologies. You will develop skills in parametric design, ergonomics, simulation, sustainable materials, 3D visualization, and manufacturing management, ensuring efficient, safe solutions that meet current industry standards.
4. Aerospace Simulation Proficiency: MATLAB/Simulink for Rotors.
4. Aerospace Simulation Proficiency: MATLAB/Simulink for Rotors
Modeling and simulation of rotor dynamics using MATLAB and Simulink.
Understanding the physical principles governing the behavior of helicopter and wind turbine rotors.
Implementation of finite element analysis (FEA) models for the structural analysis of rotor components.
Analysis of the dynamic response of rotors under different operating and environmental conditions.
Study of aerodynamic and aeroelastic phenomena relevant to rotor design.
Application of optimization techniques to improve performance and reduce rotor fatigue.
Evaluation of rotor stability and detection of potentially harmful vibration modes.
Proficiency in simulation tools for design and analysis of rotors.
Interpretation of simulation results and their application in design decision-making.
Development of practical skills in aerospace systems simulation.
5. Detailed Simulation of Aerospace Rotors with MATLAB/Simulink.
5. Detailed Simulation of Aerospace Rotors with MATLAB/Simulink
- Modeling and simulation of aerospace rotor dynamics in MATLAB/Simulink.
- Analysis of vibration modes and stability, including flap-lag-torsion.
- Study of the whirl flutter phenomenon and its mitigation through design.
- Evaluation of fatigue in rotating components and their service life.
- Design and dimensioning of rotors with composite materials.
- Application of finite element analysis (FEA) for structural optimization.
- Design of bonded joints and analysis of their structural behavior.
- Implementation of damage tolerance strategies for aircraft safety.
- Introduction to non-destructive testing techniques (NDT): UT/RT/thermography.
- Simulation of failure scenarios and analysis of damage propagation.
- Optimization of rotor design to improve performance and durability.
- Generation of technical reports and documentation of simulation results.
6. Simulation of Aerospace Rotating Systems in MATLAB/Simulink.
6. Simulation of Aerospace Rotating Systems in MATLAB/Simulink:
- Modeling and simulation of rotor dynamics.
- Analysis of stability and control of rotating systems.
- Study of aeroelastic and aeromechanical phenomena.
- Application of MATLAB and Simulink to model and simulate complex systems.
- Analysis of vibration and noise in rotating systems.
- Design and optimization of rotor blades.
- Integration of sensors and actuators in simulations.
- Validation and verification of simulation models.
Who this program is for:
MATLAB/Simulink simulation course in Aero
- Graduates in Aerospace Engineering, Mechanical Engineering, Industrial Engineering, Automation Engineering, or related fields.
- Professionals in OEM rotorcraft/eVTOL, MRO, consulting, and technology centers.
- Flight Testing, certification, avionics, control, and dynamics seeking specialization.
- Regulators/authorities and UAM/eVTOL professionals requiring compliance skills.
Recommended requirements: foundation in aerodynamics and control and structures; ES/EN B2+/C1. We offer bridging tracks if you need them.
- Standards-driven curriculum: you will work with CS-27/CS-29, DO-160, DO-178C/DO-254, ARP4754A/ARP4761, ADS-33E-PRF from the first module.
- Accreditable laboratories (EN ISO/IEC 17025) with rotor bench, EMC/Lightning pre-compliance, HIL/SIL, vibrations/acoustics.
- Evidence-oriented TFM: safety case, test plan, compliance dossierand operational limits.
- Mentored by industry: teachers with experience in rotorcraft, tiltrotor, eVTOL/UAM and flight test.
- Flexible modality (hybrid/online), international cohorts and support from SEIUM Career Services.
- Ethics and security: safety-by-design approach, cyber-OT, DIH and compliance as pillars.
1.1 Introduction to Aerospace Simulation: Key Concepts
1.2 Modeling and Simulation: Tools and Methodologies
1.3 Fundamentals of MATLAB and Simulink for Aerospace Simulation
1.4 Aerospace Systems Design and Analysis: An Overview
1.5 Importance of Simulation in Aerospace Development
1.6 Types of Simulation: Static, Dynamic, and Monte Carlo
1.7 Essential Elements of a Simulation Model
1.8 Validation and Verification of Simulation Models
1.9 Applications of Simulation in Aircraft Design
1.10 Future Trends in Aerospace Simulation
2. Advanced Aerospace Simulation: MATLAB/Simulink
2.2 Introduction to MATLAB/Simulink for Aerospace Modeling
2.2 Modeling Control and Navigation Systems
2.3 Simulating Trajectories and Flight Performance
2.4 Stability and Controllability Analysis
2.5 Designing Data Acquisition Systems
2.6 Validating and Verifying Models
2.7 Practical Applications in Aeronautical Design
2.8 Optimizing Flight Parameters
2.9 Integration with External Tools
2.20 Case Studies: Aircraft Simulation
2. Helicopter Simulations: Dynamic Modeling in MATLAB/Simulink
2.2 Modeling Helicopter Dynamics: Equations of Motion
2.3 Modeling Aerodynamic Forces on the Rotor
2.4 Modeling Actuators and Control Systems
2.5 Flight Simulation Under Different Conditions
2.6 Stability Analysis and helicopter controllability
2.6 Flight control system design
2.7 Maneuvering and aerobatic flight simulation
2.8 Study of different helicopter configurations
2.9 Integration with terrain and wind models
2.20 Case studies: realistic flight simulations
3. Aerodynamic Design and Analysis with MATLAB/Simulink
3.2 Introduction to computational aerodynamics
3.2 Modeling airfoils and wings
3.3 Laminar and turbulent flow analysis
3.4 Simulation of aerodynamic forces and moments
3.5 Aerodynamic design of aircraft components
3.6 Shape optimization to minimize drag
3.7 Flow analysis in rotors and propellers
3.8 Modeling separation and stagnation phenomena
3.9 Integration with external CFD software
3.20 Case studies: aerodynamic component design
4. Simulation Mastery Aerospace: MATLAB/Simulink for Rotors
4.2 Fundamental Principles of Rotor Modeling
4.2 Modeling Rotor Geometry and Characteristics
4.3 Simulating Airflow Through the Rotor
4.4 Calculating Generated Forces and Moments
4.5 Analyzing Rotor Performance Under Different Conditions
4.6 Designing and Optimizing Rotor Blades
4.7 Modeling Rotor Control Systems
4.8 Simulating Vibrations and Aeroelasticity
4.9 Integration with Aircraft Models
4.20 Case Studies: Rotor Analysis
5. Detailed Simulation of Aerospace Rotors with MATLAB/Simulink
5.2 Advanced Modeling of Rotor Geometry
5.2 Simulating Transient Airflow
5.3 Modeling Leading Edge and Wake Effects
5.4 Noise and Vibration Analysis
5.5 Simulating Rotor-Fuselage Interactions
5.6 Rotor Design for Noise Reduction
5.7 Rotor Failure and Degradation Modeling
5.8 Flight Simulation under Extreme Conditions
5.9 Integration with Experimental Test Data
5.20 Case Studies: Complex Rotor Simulations
6. Simulation of Aerospace Rotating Systems in MATLAB/Simulink
6.2 Modeling the Dynamics of Rotating Systems
6.2 Transmission and Gearbox Simulation
6.3 Vibration and Resonance Modeling
6.4 Damping System Design
6.5 Failure Analysis in Rotating Systems
6.6 Lubrication and Cooling Simulation
6.7 Sensor and Actuator Modeling
6.8 Rotor-Motor Interaction Simulation
6.9 Integration with Aircraft Models
6.20 Case Studies: Analysis of Complex Rotating Systems
7. Aerospace Propulsion System Simulations with MATLAB/Simulink
7.2 Modeling Internal Combustion Engines
7.2 Modeling Turbines and Turbojets
7.3 Simulation of Intake and Exhaust Systems
7.4 Performance and Efficiency Analysis
7.5 Design of Engine Control Systems
7.6 Simulation of Engine Failures and Degradation
7.7 Modeling Fuel Systems
7.8 Simulation of Engine-Propeller Interaction
7.9 Integration with Aircraft Models
7.20 Case Studies: Simulation of Propulsion Systems
8. Modeling and Simulation of Aerospace Rotors with MATLAB/Simulink
8.2 Review of Rotor Principles
8.2 Modeling Rotor Blades
8.3 Simulation of Airflow and Performance
8.4 Analysis of Forces and Moments
8.5 Design and Optimization of Blades
8.6 Modeling Control Systems
8.7 Simulation of Vibrations
8.8 Integration with aircraft models
8.9 Case studies
8.20 Practical applications of rotor simulation
3.3 Introduction to Aerodynamic Design with MATLAB/Simulink
3.2 Principles of Aerodynamics Applied to Aircraft
3.3 Modeling Airfoils and Aerodynamic Bodies
3.4 Flow Simulation with MATLAB/Simulink
3.5 Analysis of Aerodynamic Coefficients
3.6 Control Surface Design
3.7 Aerodynamic Optimization and Wing Design
3.8 Introduction to Virtual Wind Tunnels
3.9 Specific Applications: Airplanes, Helicopters, and Drones
3.30 Case Studies and Practical Projects
4.4 Introduction to Rotor Simulation: Fundamental Concepts
4.2 Mathematical Modeling of Rotors: Blade Element Theory
4.3 Implementation in MATLAB: Creating Basic Rotor Models
4.4 Performance Analysis: Lift, Drag, and Power Requirements
4.5 Rotor Flight Dynamics: Stability and Control
4.6 Rotor Simulation under Wind and Turbulence Conditions
4.7 Rotor Design Optimization: Parameters and Variables
4.8 Introduction to Advanced Simulations: Finite Element Analysis of Rotors
4.9 Validation and Verification of Simulation Models
4.40 Practical Applications: Case Studies and Projects
5.5 Rotor Dynamics Modeling: Theory and Practice
5.5 Airflow Simulation over Rotor Blades
5.3 Rotor Performance Analysis: Thrust, Power, Efficiency
5.4 Design of Optimized Rotor Blades
5.5 Introduction to Rotor Aeroelasticity
5.6 Rotor Vibration Simulation
5.7 Rotor Control Modeling and Simulation
5.8 Rotor System Stability Analysis
5.9 Ground and Wind Effects Simulation
5.50 Advanced Applications and Case Studies
6.6 eVTOL and UAM: Electric Propulsion, Multiple Rotors
6.2 Emerging Certification Requirements (SC-VTOL, Special Conditions)
6.3 Energy and Thermal in E-Propulsion (Batteries/Inverters)
6.4 Design for Maintainability and Modular Swaps
6.5 LCA/LCC in Rotorcraft and eVTOL (Footprint and Cost)
6.6 Operations & Vertiports: Airspace Integration
6.7 Data & Digital Thread: MBSE/PLM for Change Control
6.8 Tech Risk and Readiness: TRL/CRL/SRL
6.9 IP, Certifications, and Time-to-Market
6.60 Case Study: Go/No-Go with Risk Matrix
- Hands-on methodology: test-before-you-trust, design reviews, failure analysis, compliance evidence.
- Software (depending on licenses/partners): MATLAB/Simulink, Python (NumPy/SciPy), OpenVSP, SU2/OpenFOAM, Nastran/Abaqus, AMESim/Modelica, acoustics tools, planning toolchains DO-178C.
- SEIUM Laboratories: scale rotor bench, vibrations/acoustics, EMC/Lightning pre-compliance, HIL/SIL for AFCS, data acquisition with strain gauging.
- Standards and compliance: EN 9100, 17025, ISO 27001, GDPR.
Capstone-type projects
Admissions, fees, and scholarships
- Profile: Background in Computer Engineering, Mathematics, Statistics, or related fields; practical experience in NLP and valued information retrieval systems.
- Documentation: Updated CV, academic transcript, SOP/statement of purpose, project examples or code (optional).
- Process: Application → Technical evaluation of profile and experience → Technical interview → Review of case studies → Final decision → Enrollment.
- Fees:
- Single payment: 10% discount.
- Payment in 3 installments: No fees; 30% upon registration + 2 equal monthly payments of the remaining 35%.
Monthly payment: available with a 7% commission on the total; annual review.
Scholarships: based on academic merit, financial need, and promoting inclusion; agreements with companies in the sector for partial or full scholarships.
See “Calendar & Calls for Applications,” “Scholarships & Grants,” and “Fees & Financing” in the SEIUM mega-menu.
Do you have any questions?
Our team is ready to help you. Contact us, and we will respond as soon as possible.
F. A. Q
Frequently asked questions
Yes, we have international certification
Yes: experimental models, real data, applied simulations, professional environments, real case studies.
It is not mandatory. We offer leveling tracks and tutoring.
Completely. It covers e-propulsion, integration, and emerging regulations (SC-VTOL).
Recommended. There are also internal challenges and consortiums.
Yes. Online/hybrid modality with planned labs and visa support (see “Visa & Residence”).