Understand the machine model
The supplied training scope begins with modeling different motor topologies and building electric propulsion-system simulations in MATLAB/Simulink.
Develop the control approach
Training can cover field-oriented control and the relationship between the motor model and the controller. The topics described in the source connect electrical machine behavior to practical control development.
Move into real-time testing
The proposed tutorials include using dSPACE to test control algorithms in real time. The training scope should match the learner’s hardware, software environment and starting knowledge.
Set up meaningful measurements
Instrumentation topics include configuring torque, current and voltage sensors, together with a power analyzer, for dynamometer testing.
- Machine modeling and MATLAB/Simulink
- Field-oriented control
- dSPACE real-time algorithm testing
- Dynamometer sensors and power analysis
Connected expertise.
SPM and IPM rotor structures · supplied document
Motor models built for control development.
Develop linear and nonlinear electric machine models from finite-element data or an initial machine description.
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Hardware-in-the-loop test setup · supplied document
From offline simulation to real-time HIL.
Develop propulsion-system models in MATLAB/Simulink and bring machine and controller behavior into real-time testing.
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Offline propulsion simulation model · supplied document
Start with the question you need to resolve.
Describe the motor, the decision and the evidence you already have.
Explore →Bring us your challenge.
Start with your application, constraints and the decision you need to make.