|Operating point specifications|
|Initialize operating point specification values|
|동작점 사양에 출력 사양 추가|
|Get index of a state element of an operating point specification|
|Get index of an input element of an operating point specification|
|Get index of an output element of an operating point specification|
Simulink 모델 동기화
|Trigger-Based Operating Point Snapshot||트리거된 이벤트에서 동작점 생성하기|
정상 상태 동작점
- About Operating Points
An operating point of a dynamic system defines the states and root-level input signals of the model at a specific time.
- Compute Steady-State Operating Points
To obtain a steady-state operating point, you can trim your model using numerical optimization techniques or simulate your model until it reaches a steady-state condition.
- Handle Blocks with Internal State Representation
The operating point object used for linearization and control design does not include Simulink® blocks with internal state representation, such as Memory and Transport Delay blocks.
- View and Modify Operating Points
You can view and modify operating point values programmatically at the command line or interactively using the Steady State Manager or Model Linearizer.
- Compute Steady-State Operating Points from Specifications
Find a steady-state operating point that meets specifications. You can specify known values or bounds for model states, outputs, and inputs.
- Import and Export Specifications for Operating Point Search
When you modify an operating point specification in the Steady State Manager or Model Linearizer, you can export the specification to the MATLAB® workspace or the Model Linearizer workspace.
- Change Operating Point Search Optimization Settings
You can control the accuracy of your operating point search by using different optimization methods.
- Initialize Steady-State Operating Point Search Using Simulation Snapshot
If you know the approximate time when the model reaches the neighborhood of a steady-state operating point, you can use simulation to get state values to use as the initial conditions for numerical optimization.
- Find Operating Points at Simulation Snapshots
Simulate your model and find an operating point that consists of the state values and model input levels at a specified simulation snapshot time.
- Compute Operating Point Snapshots at Triggered Events
You can find an operating point by simulating the model until it is at steady state and taking a simulation snapshot.
- Find Steady-State Operating Points for Simscape Models
To find operating points for Simscape™ models, you can trim the models using projection-based trim optimizers, or take simulation snapshots at specified times.
Simulink 모델 동기화
- Synchronize Simulink Model Changes with Operating Point Specifications
Modifying your Simulink model can change, add, or remove states, inputs, or outputs, which changes the operating point.
- Simulate Simulink Model at Specific Operating Point
You can derive your Simulink model initial conditions from your computed operating point.
사용자 지정 트리밍
- Compute Operating Points Using Custom Constraints and Objective Functions
Trim Simulink models using additional user-specified constraints and objective functions.
- Batch Compute Steady-State Operating Points Reusing Generated MATLAB Code
Generate code for trimming your simulink model, and modify the script to batch trim your model.
- Batch Compute Steady-State Operating Points for Parameter Variation
Vary model parameters and batch trim your model to find corresponding operating points.
- Batch Compute Steady-State Operating Points for Multiple Specifications
Find operating points for multiple operating point specifications using a single model compilation.
- Improve Linear Analysis Performance
This example shows how to use the
fastRestartForLinearAnalysiscommand to speed up multiple calls to compiling functions in Simulink Control Design™ such as
- Generate MATLAB Code for Operating Point Configuration
You can generate MATLAB code to programmatically reproduce an operating point search result that you obtained interactively.