Simulink Control Design™ - MathWorks

View a summary of the diagnostic information for these blocks, use getBlockInfo.

getBlockInfo(adv1)

ans =

Linearization Diagnostics for the Blocks:

Block Info:

-----------

Index BlockPath Is On Path Contributes To Linearization Linearization Method

1. scdpendulum/pendulum/Saturation Yes No Exact


2. scdpendulum/angle_wrap/Trigonometric Function1 Yes No Perturbation


3. scdpendulum/pendulum/Trigonometric Function Yes No Perturbation

In this case, the advisor reports three potentially problematic blocks, a Saturation block

and two Trigonometric Function blocks. When you run this example in MATLAB, the block

paths display as hyperlinks. To go to one of these blocks in the model, click the

corresponding block path hyperlink.

To view more information about a specific block linearization, use getBlockInfo. For

information on the available diagnostics, see BlockDiagnostic.

For example, obtain the diagnostic information for the Saturation block.

diag = getBlockInfo(adv1,1)

diag =

Linearization Diagnostics for scdpendulum/pendulum/Saturation with properties:

IsOnPath: 'Yes'

ContributesToLinearization: 'No'

LinearizationMethod: 'Exact'

Linearization: [1x1 ss]

OperatingPoint: [1x1 linearize.advisor.BlockOperatingPoint]

This block has two diagnostic messages regarding its linearization result. 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.

4 Troubleshooting Linearization Results