Linearize Simulink Model to a Sparse Second-Order Model Object
This example shows how to linearize a Simulink Model to obtain a sparse second-order model object (mechss). The Simulink model sparseSOSimulinkModel.slx contains a plant modeled using a Sparse Second Order block connected in a feedback loop with a PID controller and an actuator and sensor. The sensor and actuator are modeled using transfer functions. You need a Simulink Control Design license to perform linearization.
For more information on sparse models, see Sparse Model Basics.
Load the model data contained in linData.mat and open the Simulink model.
load('linData.mat') mdl = 'sparseSOSimulinkModel'; open_system(mdl);
Next, construct the linearization I/O settings using linio (Simulink Control Design) and linearize the Simulink model.
sys_io(1) = linio('sparseSOSimulinkModel/Controller',1,'input'); sys_io(2) = linio('sparseSOSimulinkModel/Actuator',1,'output'); sys = linearize(mdl,sys_io)
Sparse continuous-time second-order model with 1 outputs, 1 inputs, and 3415 nodes.
Use "spy" and "showStateInfo" to inspect model structure.
Type "properties('mechss')" for a list of model properties.
Type "help mechssOptions" for available solver options for this model.
The resultant linearized model sys is a mechss model object with 3415 nodes, 1 input and 1 output.
You can use spy to visualize the sparsity of the sparse model. Right-click on the plot to switch to select the matrices to be displayed.
spy(sys)
Use showStateInfo to view the partition information of the sparse second-order model sys.
showStateInfo(sys)
The state groups are:
Type Name Size
------------------------------------------------
Component 5
Component sparseSOSimulinkModel/Plant 3408
Signal 2
Examine the step response of the sparse second-order model. You must specify the final time or the time vector for sparse models.
t = 0:0.01:20; step(sys,t)
See Also
mechss | showStateInfo | Sparse Second
Order | spy
(mechss) | xsort | linearize (Simulink Control Design) | linio (Simulink Control Design)