Postgraduate Diploma in Mechanical-Electrical-Control Co-Simulation
Online 800 h Postgraduate Diploma in Mechanical-Electrical-Control Co-Simulation. 8 modules with FMI 3.0 from the Modelica Association Project, SSP 1.0 and MATLAB/Simulink with Simscape. Dedicated tutor and enrolment open.
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.
What you will be able to do
Model mechatronic systems by combining mechanical, electrical and control domains.
Build multibody and electrical drive models.
Design and tune control loops on coupled models.
Integrate heterogeneous models using the FMI standard.
Apply sensitivity analysis and parameter optimisation.
Validate simulation models with real data.
Document and reuse models within the engineering process.
Who it's for
- Mechatronic simulation engineer who wants to specialise in Mechanical-Electrical-Control Co-Simulation.
- Motion control engineer who wants to specialise in Mechanical-Electrical-Control Co-Simulation.
- Machine designer who wants to specialise in Mechanical-Electrical-Control Co-Simulation.
- Drive systems engineer who wants to specialise in Mechanical-Electrical-Control Co-Simulation.
- Digital twin specialist who wants to specialise in Mechanical-Electrical-Control Co-Simulation.
- R&D engineer who wants to specialise in Mechanical-Electrical-Control Co-Simulation.
- Graduates in engineering or science seeking to enter machinery manufacturing.
What you'll work with
- Modelica Association Project IMF 3.0
- SSP 1.0
- Modelica Language Specification 3.6
- ISO 10303-242 (STEP AP242)
- VDI 2206:2021
- IEC 61131-3
- ASME V&V 10-2019
8 modules · 800 h
1.1Coupled mechatronic systems1.2Analogies between physical domains1.3Acausal versus causal modelling1.4Modelica language and libraries1.5Block diagrams in Simulink1.6Simscape for physical networks1.7Bond graphs1.8Model fidelity levels1.9Model validation with data1.10Laboratory: linear axis model in Modelica
2.1Kinematics and dynamics of rigid bodies2.2Simscape Multibody and CAD export2.3Friction, backlash and stiffness2.4Transmission and gearbox models2.5Flexible bodies and modal reduction2.6Variable loads and inertias2.7Identification of mechanical parameters2.8Simulation of collisions and contacts2.9Integration of finite element models2.10Practical: multibody model of a two-axis arm
3.1Permanent magnet synchronous motors3.2Induction motors and dq models3.3Averaged and switched power converters3.4Vector and torque control3.5Position sensors and quantisation3.6Losses and thermal motor model3.7DC bus and braking3.8Power sources and supply networks3.9Model reduction for real-time use3.10Workshop: PMSM drive with FOC control in Simscape
4.1Current, speed and position loops4.2PID tuning in coupled systems4.3Feedforward control and compensation4.4Filters and resonance suppression4.5Trajectory and profile control4.6Discretisation and cycle times4.7Saturation and anti-windup4.8Code generation for controllers4.9Robustness to variations4.10Practical: tuning a servo with mechanical resonance
5.1FMI standard and FMUs5.2Model exchange versus co-simulation5.3Co-simulation masters and algorithms5.4Communication step and numerical stability5.5SSP standard for systems of systems5.6Integration of heterogeneous tools5.7Co-simulation with a virtual PLC5.8Algebraic loop problems5.9Performance and parallelisation5.10Laboratory: co-simulation of a mechanical FMU and controller
6.1Parametric sensitivity analysis6.2Monte Carlo simulation and tolerances6.3Design parameter optimisation6.4Motor sizing through simulation6.5Energy analysis of the machine cycle6.6Virtual experiment design6.7Comparison of architecture alternatives6.8Results post-processing6.9Simulation reports6.10Case study: sizing a pick and place system
7.1Model calibration with real measurements7.2Error metrics and validation7.3Credibility of simulation models7.4Model version management7.5Integration into the development workflow7.6Model reuse across projects7.7From model to operational digital twin7.8Limitations and risks of simulation7.9Model documentation7.10Case study: validating a conveyor model with plant data
8.1System definition and objectives8.2Mechanical and electrical models8.3Control design8.4Integration via FMI8.5Scenario simulations8.6Optimisation and analysis8.7Model validation8.8Discussion of results8.9Report and presentation8.10Final review with the tutor
How you'll learn
100 % online training on the SEIUM campus, with downloadable material, recorded classes and a dedicated technical tutor. There are no fixed timetables: students progress at their own pace within the intake, which makes it compatible with work.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is MATLAB/Simulink with Simscape, OpenModelica, Dymola, Siemens Simcenter Amesim, Maplesoft MapleSim, in free, academic or evaluation versions. Tests are studied using real co-simulation procedures for an axis with a controller via FMU, drive sizing through simulation, and model validation with real machine data. Assessment is continuous per module plus the final integrative project.
Build it end to end
Your final project follows the real engineering workflow, step by step, reviewed by your tutor.
Model mechatronic systems by combining mechanical, electrical and control domains.
Build multibody and electrical drive models.
Design and tune control loops on coupled models.
Integrate heterogeneous models using the FMI standard.
Apply sensitivity analysis and parameter optimisation.
Where this takes you
Requirements
- Prior technical training or professional experience in the sector. No university degree is required.
- Internet connection and a computer capable of running the programme's software.
- Sufficient level of Spanish to follow technical standards reading.
Ready to start?
Send your application today. Our admissions team replies within 72 hours with your study plan and funding options.
Frequently asked questions
The programme totals 800 hours, spread over 6 to 8 months. That is an average of 10 to 15 hours per week, compatible with a full-time job.
The programme uses MATLAB/Simulink with Simscape, OpenModelica, Dymola, Siemens Simcenter Amesim, Maplesoft MapleSim. Free, academic or evaluation versions are used, and the tutor indicates the free alternative where one exists.
An own diploma from SEIUM upon passing the continuous assessment and the integrative project. It is in-house training, not an official qualification issued by the Ministry.
Yes. Modules passed in a course or diploma in the same area are credited towards the advanced programme. Check the credit transfer policy when you enrol.
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