Recorded Webinar: Using Simulink Parameter Estimation & Test Data to Calibrate a Model of an Electric Motor

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Simulink is a powerful tool for developing a first-principles model of a dynamic system. First-principles models provide important insight into system behavior, but may not always match the outputs of a prototype or real system. Using input-output test data to calibrate parameters within the model helps improves its accuracy, but can be time consuming as the number of parameters increases and complexity of the calculations grow.

This webinar demonstrates how Simulink Parameter Estimation uses test data to estimate Simulink model parameters to improve the model’s accuracy. Simulink Parameter Estimation offers a comprehensive interface for handling multiple data sets and calculating multiple parameters. Using Simulink Parameter Estimation lets you reduce the time to calibrate a model and helps you ensure an accurate system representation.

By viewing this Webinar, you will learn how Simulink Parameter Estimation:

• Handles data sets from various sources
• Identifies parameters in your Simulink model
• Calculates model parameters using test data
• Validates your model calibration

This webinar was recorded on 12 May 2005

Duration: 55 Minutes