modelLinearSystemsNoiseSmartAveraging

Shows the modelling of a uniform noise sensor with sytem influence
Diagram of LinearSystemsNoiseSmartAveragingOpen the diagram
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Extends from Modelica.Icons.Example (Icon for runnable examples).

Information

This is the same approach as in LinearSystemsNoise, but uses an array of noise generators to achieve the same effect. It is faster because the sampling time can be chosen higher!

Parameters

TypeNameDefaultDescription
IntegerdownSampling20
Realy_max0.05maximal noise value
Realy_min-y_maxminimal noise value

Components

TypeNameDefaultDescription
Modelica_LinearSystems2.Controller.Noisenoise1
Modelica_LinearSystems2.Controller.SampleClocksampleClock
Modelica.Blocks.Continuous.CriticalDampingcriticalDamping
Modelica.Blocks.Math.MultiSumNoiseAdd
Modelica.Blocks.Math.Gaingain
Modelica_LinearSystems2.Controller.Noisenoise2
Modelica_LinearSystems2.Controller.Noisenoise3
Modelica_LinearSystems2.Controller.Noisenoise4
Modelica_LinearSystems2.Controller.Noisenoise5
Modelica_LinearSystems2.Controller.Noisenoise6
Modelica_LinearSystems2.Controller.Noisenoise7
Modelica_LinearSystems2.Controller.Noisenoise8
Modelica_LinearSystems2.Controller.Noisenoise9
Modelica_LinearSystems2.Controller.Noisenoise10
Modelica_LinearSystems2.Controller.Noisenoise11
Modelica_LinearSystems2.Controller.Noisenoise12
Modelica_LinearSystems2.Controller.Noisenoise13
Modelica_LinearSystems2.Controller.Noisenoise14
Modelica_LinearSystems2.Controller.Noisenoise15
Modelica_LinearSystems2.Controller.Noisenoise16
Modelica_LinearSystems2.Controller.Noisenoise17
Modelica_LinearSystems2.Controller.Noisenoise18
Modelica_LinearSystems2.Controller.Noisenoise19
Modelica_LinearSystems2.Controller.Noisenoise20

Revisions

Developed 2014 at the DLR Institute of System Dynamics and Control