Simulink Control Design™ - MathWorks

The selected variables appear in the Parameter Variations table. Each column in the table corresponds to one of the selected var ...

TipFor more details about specifying parameter values, see “Specify Parameter Samples for Batch Linearization” on page 3-62 Anal ...

A loop break at e1 Name the I/O set by typing InnerLoop in the Variable name field of the Create linearization I/O set dialog ...

entries in linsys1. This plot gives you a sense of the range of step responses of the system in the operating ranges covered by ...

In the Parameter Variations tab, click Manage Parameters. Clear the Ki2 and Kp2 checkboxes, and check Ki1 and Kp1. Click OK. Use ...

The All Combinations gridding method generates a complete parameter grid of (Kp1,Ki1) pairs, to compute a linearization at all p ...

Because you want to examine the overall closed-loop transfer function of the system, create a new linearization I/O set. In the ...

Linearize the model with the parameter variations and examine the step response of the resulting models. Click Step to linearize ...

The step plot shows the responses of every model in the array. This plot gives you a sense of the range of step responses of the ...

Further Analysis of Batch Linearization Results The results of both batch linearizations, linsys1 and linsys2, are arrays of sta ...

Also see “Validate Batch Linearization Results” on page 3-102 for information about validating linearization results in the MATL ...

More Efficient Batch Linearization Varying Parameters This example shows how to speed up the batch linearization of a model when ...

'scdskyhogg/Vehicle System Model/Avionics/Autopilot/Theta Controller'}; set_param(blks{1},'Gain','0.0337283240400683k1') set_par ...

ct = 1:20; k1val = 1+(ct-10)/100; k2val = 1+(ct-10)/100; params(1).Name = 'k1'; params(1).Value = k1val; params(2).Name = 'k2'; ...

Calculate the resulting time improvement ratio. ratio = dt_for/dt_params ratio = 6.6054 Close the model. bdclose(mdl) More Effic ...

Batch Linearization to Obtain Multiple Transfer Functions for Varied Parameter Values This example shows how to use the slLinear ...

slLinearizer linearization interface for "scdcascade": No analysis points. Use the addPoint command to add new points. No perman ...

r2yi = getIOTransfer(sllin,'u1','y2'); r2yi, a 6x4 ss model array, contains the transfer function for each specified parameter c ...

The step response for all the models varies in the 10% range. The settling time for most models is less than 1.5 seconds. Analyz ...

The magnitude plot for all the models varies in the 3dB range. The phase plot shows the most variation, approximately 20 degrees ...