This example shows how to use the Linearization Advisor to debug the linearization of a pendulum model in the Linear Analysis Tool.
Open the Simulink model.
mdl = 'scdpendulum'; open_system(mdl)
The initial condition for the pendulum angle is 90 degrees counterclockwise from the upright unstable equilibrium of 0 degrees. The initial condition for the pendulum angular velocity is 0 deg/s. The nominal torque to maintain this state is -49.05 N m. This configuration is saved as the model initial condition.
To open Linear Analysis Tool, in the Simulink model window, on the Apps tab, click Model Linearizer.
To linearize the model at the model initial condition, in the Linear Analysis Tool, on the Linear Analysis tab, click Bode.
The software linearizes the model and plots its frequency response.
As can be seen from the Bode plot, the system has linearized to zero such that the torque has no effect on the angle or angular velocity. You can explore why this is the case using the Linearization Advisor.
To relinearize the model and generate an advisor, select Linearization Advisor, and click Bode Plot 1.
The software linearizes the model, creates the linsys2_advisor document, and opens the Advisor tab.
To show the linearization path for the current linearization, on the Advisor tab, click Highlight Linearization Path. In the Linearization path dialog box, the blocks highlighted in:
Blue numerically influence the model linearization.
Red are on the linearization path but do not influence the model linearization for the current operating point and block parameters.
For convenience, only the blocks underneath the pendulum subsystem are shown.
In this case, since the model linearized to zero, there are no blocks that contribute to the linearization.
The linsys2_advisor document shows a table listing blocks that may be problematic for the linearization.
To view more information about a specific block linearization, in the corresponding row of the table, click Block Info.
In this case, three blocks are reported by the advisor, a Saturation block and two Trigonometric Function blocks. Investigate the Saturation block first since it has diagnostics. To do so, in the first row of the table, click Block Info.
There are two diagnostic messages for the Saturation block. The first message indicates that the block is linearized outside of its lower saturation limit of
-49, since the input operating point is
-49.05. The message also states the block can be linearized as a gain, which will linearize the block as
1 regardless of the input operating point. To do so, first click linearizing the block as a gain, which highlights the corresponding parameter in the block dialog box. Then, select the Treat as gain when linearizing parameter.
The second message states that the linearization of this block causes the model to linearize to zero. As shown in the Linearization section, the block is linearized to zero. Therefore, modifying the block linearization is a good first step toward obtaining a nonzero model linearization.
After setting the Saturation block to be treated as a gain, relinearize the model. For now, ignore the diagnostics for the two Trigonometric Function blocks.
To relinearize the model, on the Linear Analysis tab, click Bode Plot 1. The Bode Plot 1 document updates, showing the nonzero response of
In the corresponding linsys_advisor3 document, the Saturation block is no longer listed. However, the two Trigonometric Function blocks are still shown.
Highlight the linearization path.
Most of the blocks are now contributing to the model linearization, except for the paths going through the listed Trigonometric Function blocks.
To understand why these blocks are not contributing to the linearization, navigate to the blocks from the linsys3_advisor document. For example, click Block Info in the second row of the table.
For this Trigonometric Function block, the linearization is zero and the input operating point is .
You can find the linearization of the block analytically by taking the first derivative of the
sin function with respect to the inputs:
Therefore, when evaluated at the linearization of the block is zero. The source of the input is the first output of the second-order integrator, which is dependent upon the state theta. Therefore, this block will linearize to zero if , where is an integer. The same condition applies for the other Trigonometric Function in the angle_wrap subsystem.
If these blocks are not expected to linearize to zero, you can modify the operating point state theta, and relinearize the model.
The Linearization Advisor provides a set of prebuilt queries for filtering block diagnostics. For example, the Linearization Advice query is the default query run when the advisor is first created and includes blocks on the path that:
Have diagnostic messages regarding the block linearization.
Linearized to zero.
Have substituted linearizations.
To run a different prebuilt query, on the Advisor tab, in the Queries gallery, click the query. For example, click Zero I/O Pair on Path.
This query returns blocks with linearizations that have output channels that cannot be reached by any input channel, or input channels that have no influence on any output channels. For example, the second block in the table is a Trigonometric Function block configured as
atan2. The first input of this block cannot reach the only output.
The Linearization Advisor also provides a Query Builder for creating custom queries. You can use these queries to find blocks in your model that match specific criteria. For example, to find all SISO blocks that are numerically perturbed, first open the Query Builder. To do so, on the Advisor tab, click New Query.
In the Query Builder dialog box:
Specify the Query Name as
In the drop-down list, select
Has 'Ny' Outputs', and specify
1 in the Outputs box.
To add another component to the query, click Add to Query.
In the second drop-down list, select
Has 'Nu' Inputs', and specify
1 in the Inputs box.
Click Add to Query.
In the third drop-down list, select
Click Run Query.
The linsys3_advisor document shows the blocks that match the specified query criteria, and the sisopert query is added to the Queries gallery.
To remove the sisopert query, on the Advisor tab, click Remove Query, and select sisopert.
You can also debug model linearizations using the Linearization Advisor command-line functions. To export the advisor object to the MATLAB workspace, click Export. Then, in the Export Advisors dialog box, select one or more advisors to export. For example, select linsys3_advisor.
Alternatively, you can generate a MATLAB script that automates the linearization, extraction of the advisor, generation of custom queries, and running of queries. To generate this script, click the Export split button, then select Generate Script.