Essential Steps for Constructing a Physical Model
The table lists the essential major steps for building and simulating a physical model, along with related documentation topics that provide background information on each step. Detailed step descriptions follow.
|Key Step||Related Topics|
The graphic illustrates the key workflow steps as applied to the Mass-Spring-Damper with Controller example model. Step descriptions below include detailed instructions on how to create this model.
Step 1: Create New Model Using
ssc_new is the best way to start
building Simscape™ models. It helps to ensure that you use recommended default settings
for your model. When you use
ssc_new, it automatically:
Creates a new Simscape model, with required and commonly used blocks already on the model canvas
Selects recommended solver and tolerance settings
Enables data logging for the whole model
Step 2: Assemble Physical Network
To model your system, you add blocks from the Simscape libraries to a model, and then connect them into a physical network. The lines connecting the blocks in the schematic you create represent the physical connections that exist between the components in a real system that you are modeling. In other words, Simscape diagrams mimic the physical system layout.
When constructing your network, it is important to include domain-specific reference blocks, such as Electrical Reference, Mechanical Translational Reference, and so on. Depending on domain, these blocks represent connection to ground, frame, or atmosphere. For more information, see Grounding Rules.
Step 3: Adjust Block Parameters and Variable Targets
Simscape blocks represent generic components that have default initial values for block parameters and variables. You can adjust these values to suit your application or match the manufacturer data sheet.
Step 4: Add Sources
You can drive Simscape models using input signals. This technique allows you to represent physical effects, such as forces, voltages, or pressures, that act on your system. You can also specify other quantities that flow through your system, such as current, mass flow rate, and heat flux. You add signal input connections to your physical network by using Simscape source blocks.
Step 5: Add Sensors
You can measure quantities from your physical network and use them in other locations in your model. Some common uses of those quantities include feedback for a control algorithm, modeling physical components whose behavior depends on other physical quantities (such as temperature-dependent resistor), or simply viewing the results during simulation.
You measure quantities using sensor blocks, connected in series or in parallel depending on the measured value. To measure a quantity defined by a Through variable (such as current, flow rate, force), connect the sensor in series. To measure a quantity defined by an Across variable (such as voltage, pressure, velocity), connect the sensor in parallel. For more information on Through and Across variables, see Variable Types.
Step 6: Connect to Simulink with Interface Blocks
Equations in a Simscape network are solved simultaneously, while Simulink blocks are evaluated sequentially. Interface blocks, such as Simulink-PS Converter and PS-Simulink Converter, handle the boundary between these two modeling conventions. You need interface blocks when Simulink signals specify quantities in a Simscape network, or when passing Simscape quantities to Simulink for control design or other purposes. Every time you connect a Simulink block to a Simscape physical network, you have to use an appropriate converter block.
Step 7: Simulate Model
You run simulations by clicking the Run button in the Simulink Toolstrip (at the top of the model window) or in a Scope Viewer toolbar. The Simscape solver evaluates the model, calculates the initial conditions, and runs the simulation. For a detailed description of this process, see How Simscape Simulation Works. The message in the bottom-left corner of the model window provides the status update.
Step 8: View Simulation Results
The Simscape Results Explorer lets you view and analyze simulation data by using the data logging functionality. For example, you can compare two simulation runs to analyze how changing the mass affects the spring deformation.