Class ModelPredictiveController.AutoTuneResult

java.lang.Object
neqsim.process.controllerdevice.ModelPredictiveController.AutoTuneResult
Enclosing class:
ModelPredictiveController
public static final class ModelPredictiveController.AutoTuneResult extends Object
Result produced by the auto-tuning routine. The result captures the identified model parameters, recommended controller weights and diagnostic information about the estimation data that was used.

  • Field Details

    • processGain

      private final double processGain

    • timeConstant

      private final double timeConstant

    • processBias

      private final double processBias

    • outputWeight

      private final double outputWeight

    • controlWeight

      private final double controlWeight

    • moveWeight

      private final double moveWeight

    • predictionHorizon

      private final int predictionHorizon

    • sampleTime

      private final double sampleTime

    • closedLoopTimeConstant

      private final double closedLoopTimeConstant

    • meanSquaredError

      private final double meanSquaredError

    • sampleCount

      private final int sampleCount

    • applied

      private final boolean applied

  • Constructor Details

    • AutoTuneResult

      private AutoTuneResult(double processGain, double timeConstant, double processBias, double outputWeight, double controlWeight, double moveWeight, int predictionHorizon, double sampleTime, double closedLoopTimeConstant, double meanSquaredError, int sampleCount, boolean applied)

  • Method Details

    • getProcessGain

      public double getProcessGain()

    • getTimeConstant

      public double getTimeConstant()

    • getProcessBias

      public double getProcessBias()

    • getOutputWeight

      public double getOutputWeight()

    • getControlWeight

      public double getControlWeight()

    • getMoveWeight

      public double getMoveWeight()

    • getPredictionHorizon

      public int getPredictionHorizon()

    • getSampleTime

      public double getSampleTime()

    • getClosedLoopTimeConstant

      public double getClosedLoopTimeConstant()

    • getMeanSquaredError

      public double getMeanSquaredError()

    • getSampleCount

      public int getSampleCount()

    • isApplied

      public boolean isApplied()