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Modelos ajustables

Modelos con coeficientes ajustables o paramétricos

Los modelos LTI generalizados ajustables representan sistemas que tienen coeficientes fijos y ajustables (o paramétricos). Utilice los bloques Control Design para representar componentes ajustables de su sistema de control. Combínelos con modelos LTI numéricos para crear modelos LTI generalizados ajustables. Para ver un ejemplo, consulte Control System with Tunable Components.

Puede utilizar modelos LTI generalizados ajustables para:

Modelar un componente ajustable (o paramétrico) de un sistema de control, como un filtro paso bajo ajustable.
Modelar un sistema de control que contenga:
- Componentes fijos, como la dinámica de la planta y la dinámica de los sensores
- Componentes ajustables, como los filtros y los compensadores
Ajustar sistemas de control para diseñar los objetivos que especifique, con comandos de ajuste como systune o la app Control System Tuner.

Funciones

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Bloques Control Design

`tunableGain`	Tunable static gain block
`tunablePID`	Tunable PID controller
`tunablePID2`	Tunable two-degree-of-freedom PID controller
`tunableSS`	Tunable fixed-order state-space model
`tunableTF`	Tunable transfer function with fixed number of poles and zeros
`realp`	Real tunable parameter
`AnalysisPoint`	Points of interest for linear analysis

Modelos generalizados

`genss`	Generalized state-space model
`genfrd`	Generalized frequency response data (FRD) model
`genmat`	Generalized matrix with tunable parameters

Análisis

`getLoopTransfer`	Open-loop transfer function of control system represented by `genss` model
`getIOTransfer`	Closed-loop transfer function from generalized model of control system
`getSensitivity`	Sensitivity function from generalized model of control system
`getCompSensitivity`	Complementary sensitivity function from generalized model of control system

Acceso a los bloques y los valores

`getPoints`	Get list of analysis points in generalized model of control system
`replaceBlock`	Replace or update control design blocks in generalized model
`sampleBlock`	Sample Control Design blocks in generalized model
`rsampleBlock`	Randomly sample Control Design blocks in generalized model
`getValue`	Current value of generalized model
`setValue`	Modify current value of control design block
`getBlockValue`	Get current value of Control Design Block in Generalized Model
`setBlockValue`	Modify value of Control Design Block in Generalized Model
`showBlockValue`	Display current values of Control Design Blocks in Generalized Model
`showTunable`	Display current value of tunable Control Design Blocks in Generalized Model
`nblocks`	Number of control design blocks in generalized LTI model or generalized matrix
`getLFTModel`	Decompose generalized LTI model

Temas

Generalized Models
Generalized models represent systems having a mixture of fixed coefficients and tunable or uncertain coefficients.
Models with Tunable Coefficients
Use tunable models to model tunable components of control systems for parameter sampling or control system tuning.
Filtro paso bajo ajustable
Represente una función de transferencia con un parámetro ajustable.
Create Tunable Second-Order Filter
Represent a transfer function with multiple tunable parameters.
Crear un modelo de espacio de estados con parámetros tanto fijos como ajustables
Represente matrices de espacio de estados que cuentan con una mezcla de parámetros fijos y ajustables.
Control System with Tunable Components
Build a control-system model for tuning using both tunable and fixed components.
Control System with Multichannel Analysis Points
Build a control-system model with analysis points for extracting responses at different points in the system.
Mark Signals of Interest for Control System Analysis and Design
Analysis points allow you to access to internal signals, perform open-loop analysis, or specify requirements for controller tuning in systems modeled in either MATLAB^® or Simulink^®.