Linking Model Workspaces for Advanced Control in Simscape

Welcome back to the Physical Modeling in Simscape with Simulink & MATLAB blog series! Building on the previous blog, today we’ll explore how to use model workspaces and linked variables to simplify parameter management. These techniques allow you to control parameters directly from within the model, making experimentation and simulation more efficient. 

This session is part of Skill-Lync’s Simscape Course Online, where we guide you through Simscape basics, advanced workflows, and real-world applications. 

Using the Model Workspace 

While the base workspace is suitable for many tasks, model workspaces offer greater control for large, collaborative projects. Here’s how you can use the model workspace effectively: 

Understanding the Model Workspace: 

• Each Simulink model has a dedicated workspace where you can define variables specific to that model. 
• This isolates the model’s variables from the base workspace, ensuring no unintended conflicts with other models. 

Creating Variables in the Model Workspace: 

• Open your Simulink model and navigate to Model Explorer. 
• Define variables such as engine_RPM or gear_ratio in the model workspace. 

Linking Variables to Blocks: 

• In Simulink blocks, assign variables like engine_RPM instead of hardcoded values. 
• Changes in the model workspace will reflect instantly in the simulation. 

Advanced Techniques: Linking Model Parameters 

Creating Variables from Blocks: 

• For Simulink blocks, create variables directly by clicking the three-dot menu and selecting Create Variable. 
• Assign the variable a name, such as revolution, and specify whether it should reside in the model or base workspace. 

Exploring Model Explorer: 

• Use Model Explorer to view and manage all workspace variables in one place. 
• Variables like revolution can be edited directly, making it easier to fine-tune parameters during simulations. 

Using Base Workspace vs. Model Workspace 

Base Workspace: 

• Best for general-purpose variables shared across multiple models. 

Model Workspace: 

• Ideal for large systems where variables should remain specific to a single model. 
• Ensures cleaner and more modular designs, especially in collaborative environments. 

Practical Example: Engine Revolution Parameter 

• Define Variables: Create a variable revolution in the model workspace and assign it a value of 1000 RPM. 
• Run the Model: Test the model to see how the revolution parameter affects simulation results. 
• Edit Variables in Real-Time: Use Model Explorer to tweak parameters like revolution or gear_ratio during runtime, observing the immediate impact on the simulation. 

Combining Techniques 

For the most efficient workflow: 

• Use script files for globally applicable variables. 
• Use the model workspace for system-specific parameters. 
• Link variables directly from blocks for real-time adjustments. 

Conclusion 

By mastering model workspaces and linked parameters, you’ll gain unparalleled control over your simulations. These techniques are invaluable for managing complex systems, such as multi-domain models in Simscape physical systems. 

To dive deeper into these concepts, join Skill-Lync’s Simscape Certification Course, where we explore topics like Simscape thermal systems, fluid dynamics, and control engineering. With practical projects and expert guidance, you’ll master the art of physical modeling in no time. 

Stay tuned for our next blog, where we’ll tackle even more advanced topics in Simscape! 

This blog is part of our ongoing Physical Modeling in Simscape with Simulink & MATLAB. If you missed the previous posts, check them out here.  

Would you like to have a more interactive experience in Physical Modeling? 

Skill-Lync has released a FREE comprehensive course covering Physical Modeling in Simscape with Simulink & MATLAB! Check it out here. 

Check out our hands-on course today and add it to your list of skills!  

Let’s get #IndustryReady together, one skill at a time! 

Start Course Now