Analyze Batch Linearization Results in Linear Analysis
Tool
This example shows how to use response plots to analyze batch linearization results in
Linear Analysis Tool. The term batch linearization results refers to linearizations for
varying parameter values, such as illustrated in “Batch Linearize Model for Parameter
Value Variations Using Linear Analysis Tool” on page 3-75. You can use the techniques
illustrated in this example to analyze the frequency response, stability, and other system
characteristics for batch linearization results.
View Parameters of a Response
For this example, suppose that you have batch linearized a model as described in “Batch
Linearize Model for Parameter Value Variations Using Linear Analysis Tool” on page 3-
- You have generated a step response plot of an array of linear models computed for a
2-D parameter grid, with variations of outer-loop controller gains Ki1 and Kp1.
When you perform batch linearization, Linear Analysis Tool generates a plot showing the
responses of all linear models resulting from the linearization. You choose the response
plot type, such as Step, Bode, or Nyquist, when you linearize. You can create additional
plots at any time as described in “Analyze Results Using Linear Analysis Tool Response
Plots” on page 2-151.
To view the parameters associated with a particular response, click the response on the
plot.