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How to Perform System Identification of Blue Robotics Thrusters

How to use the System Identification app to create linear mathematical models of a component with the Blue Robotics T200 thruster as an example. System Identification is a data driven approach to developing mathematical models for components or systems. You will learn how to apply pre-processing techniques to your data create state space models and transfer function models for a Blue Robotics T200 thruster and use these generated models in a closed loop control system. 

- System Identification Overview:

- System Identification Workflow:

- Working with System Identification App:

- Transfer Function Model:

- State Space Models:

- Identify Linear Models Using System Identification App:

- Ways to Prepare Data for System Identification:

- Code files used in Video:

0:00 Modelling Approaches  

1:38 Import Data   

2:43 Data Preprocessing – Remove Mean from Data  

3:00 Estimate/Generate State Space Models  

3:27 Data Preprocessing- Filtering Noise from Data  

4:03 Estimate/Generate Transfer Function Model  

4:23 Import Transfer Function and Sate Space Model to MATLAB 

4:32 Import and use Transfer Function and State Space Model in Simulink  

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