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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
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 thelinearize
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 anslLinearizer
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.