배치 선형화

모델에 대한 여러 선형화의 추출과 분석, 파라미터 값 변경, 동작점 변경, I/O 집합 변경, 선형 파라미터 가변(LPV) 모델 구현

배치 선형화는 I/O, 동작점, 파라미터값 등을 다양하게 조합하여 모델로부터 여러 선형화를 추출하는 것을 말합니다. 배치 선형화를 사용하면 다양한 동작 조건과 파라미터 범위에서 Simulink^® 모델 또는 모델 일부의 시간 영역, 주파수 영역, 안정성 특성을 분석할 수 있습니다. 배치 선형화 결과를 사용하여 비선형 시스템의 선형 파라미터 가변(LPV) 근사를 구현할 수도 있습니다.

명령줄에서 또는 모델 선형기를 사용하여 배치 선형화를 수행할 수도 있습니다. 사용할 툴을 결정하는 데 유용한 정보는 Choose Batch Linearization Methods 항목을 참조하십시오.

앱

모델 선형기

Simulink 모델 선형화

함수

모두 확장

선형화 명령

`linearize`	Linear approximation of Simulink model or subsystem
`linearizeOptions`	Set linearization options

배치 선형화 인터페이스

`slLinearizer`	Interface for batch linearization of Simulink models
`getIOTransfer`	Transfer function for specified I/O set using `slLinearizer` or `slTuner` interface
`getLoopTransfer`	Open-loop transfer function at specified point using `slLinearizer` or `slTuner` interface
`getSensitivity`	Sensitivity function at specified point using `slLinearizer` or `slTuner` interface
`getCompSensitivity`	Complementary sensitivity function at specified point using `slLinearizer` or `slTuner` interface

분석점

`addPoint`	Add signal to list of analysis points for `slLinearizer` or `slTuner` interface
`removePoint`	Remove point from list of analysis points in `slLinearizer` or `slTuner` interface
`removeAllPoints`	Remove all points from list of analysis points in `slLinearizer` or `slTuner` interface
`getPoints`	Get list of analysis points for `slLinearizer` or `slTuner` interface

개방 지점

`addOpening`	Add signal to list of openings for `slLinearizer` or `slTuner` interface
`removeAllPoints`	Remove all points from list of analysis points in `slLinearizer` or `slTuner` interface
`removeAllOpenings`	Remove all openings from list of permanent openings in `slLinearizer` or `slTuner` interface
`getOpenings`	Get list of openings for `slLinearizer` or `slTuner` interface

LPV 오프셋

getOffsetsForLPV Extract LPV offsets from linearization results

Simulink 모델 동기화

refresh Resynchronize slLinearizer or slTuner interface with current model state

빠른 재시작

fastRestartForLinearAnalysis Fast restart for linear analysis

도움말 항목

배치 선형화 기본 사항

What Is Batch Linearization?
You can extract multiple linearizations from a Simulink model for various combinations of I/Os, operating points, and parameter values.
Choose Batch Linearization Methods
Simulink Control Design™ software provides multiple tools and methods for batch linearization.
Mark Signals of Interest for Batch Linearization
When batch linearizing a model you can mark signals of interest using analysis points. You can then analyze the response of your system at any of these points.

동작점 변동

Batch Linearize Model at Multiple Operating Points Using linearize Command
You can linearize your model at multiple trimmed operating points or for multiple simulation snapshots.
Vary Operating Points and Obtain Multiple Transfer Functions Using slLinearizer Interface
Batch linearize your model at multiple operating points and obtain multiple open-loop and closed-loop transfer functions from the model.

파라미터 변동

Specify Parameter Samples for Batch Linearization
You can vary one or more model parameters and batch linearize your model at the command line or using the Model Linearizer.
Batch Linearization Efficiency When You Vary Parameter Values
If all the model parameters you vary are tunable, the Simulink Control Design linearization tools use a single model compilation to compute linearizations for all parameter grid points.
Batch Linearize Model for Parameter Value Variations Using Model Linearizer
Vary model parameter values and obtain multiple open-loop and closed-loop transfer functions from the model using the Model Linearizer.
Batch Linearize Model for Parameter Variations at Single Operating Point
Vary model parameters and linearize a model at its nominal operating conditions using the linearize command.
Batch Linearize Model at Multiple Operating Points Derived from Parameter Variations
If parameter variations affect the operating point of your system, trim the model for each parameter-value combination before linearization.
Vary Parameter Values and Obtain Multiple Transfer Functions
Batch linearize your model for parameter variations, and obtain multiple open-loop and closed-loop transfer functions using an slLinearizer interface.
More Efficient Batch Linearization Varying Parameters
There are several methods for speeding up the batch linearization of a model when a set of model parameters are varied.

비선형 시스템의 선형 파라미터 가변 근사

Approximate Nonlinear Behavior Using Array of LTI Systems
You can use linear parameter varying models to approximate the dynamics of nonlinear systems.
LPV Approximation of Boost Converter Model
Approximate a nonlinear Simscape™ Electrical™ model using a linear parameter varying model.

분석 및 검증

Validate Batch Linearization Results
You can validate your batch linearization results in the time domain or the frequency domain.
Analyze Batch Linearization Results in Model Linearizer
Plot and analyze responses for batch linearization results using the Model Linearizer.
Analyze Command-Line Batch Linearization Results Using Response Plots
Plot and analyze responses for batch linearization results at the command line.