降阶建模
通过创建精确的替代项来降低 Simulink® 模型的计算复杂度
降阶建模方法在降低模型计算复杂度或存储需求的同时，将预期保真度保持在满意的误差边界内。使用降阶模型可以简化分析和控制设计。
您可以为在 Simulink 中建模的子系统创建降阶模型 (ROM)，包括全阶、高保真第三方仿真模型。这些模型可用于系统级桌面仿真、硬件在环 (HIL) 测试、控制设计和虚拟传感器建模。
要使用 UI 工作流为模型中的 Simulink 模型或子系统创建一个 ROM，请安装 Reduced Order Modeling Support Package。有关详细信息，请参阅 File Exchange 上的 Reduced Order Modeling Support Package。
主题
降阶建模基础知识
- Reduced Order Modeling (System Identification Toolbox)
Reduce computational complexity of models by creating accurate surrogates.
数据驱动方法
- Reduced Order Modeling of Electric Vehicle Battery System Using Neural State-Space Model (System Identification Toolbox)
This example shows a reduced order modeling (ROM) workflow, where you use deep learning to obtain a low-order nonlinear state-space model that serves as a surrogate for a high-fidelity battery model. - Surrogate Modeling Using Gaussian Process-Based NLARX Model (System Identification Toolbox)
In this example, you replace a hydraulic cavitation cycle model in Simulink with a surrogate nonlinear ARX (NLARX) model to facilitate faster simulation. - Physical System Modeling Using LSTM Network in Simulink (Deep Learning Toolbox)
This example shows how to create a reduced order model (ROM) that acts as a virtual sensor in a Simulink® model using a long short-term memory (LSTM) neural network.
基于线性化的方法
- LPV Approximation of Boost Converter Model (Simulink Control Design)
Approximate a nonlinear Simscape™ Electrical™ model using a linear parameter varying model. - Reduce Model Order Using Model Reducer App (Control System Toolbox)
Interactively reduce model order while preserving important dynamics. - Sparse Modal Truncation of Linearized Structural Beam Model (Control System Toolbox)
Compute a low-order approximation of a sparse state-space model obtained from linearizing a structural beam model. (自 R2023b 起) - Specify Linearization for Model Components Using System Identification (Simulink Control Design)
You can use System Identification Toolbox™ software to identify a linear system for a model component that does not linearize well, and use the identified system to specify its linearization. - Reduced Order Modeling of a Nonlinear Dynamical System as an Identified Linear Parameter Varying Model (System Identification Toolbox)
Identify a linear parameter varying reduced order model of a cascade of nonlinear mass-spring-damper systems. - Approximate Nonlinear Behavior Using Array of LTI Systems (Simulink Control Design)
You can use linear parameter varying models to approximate the dynamics of nonlinear systems.
基于物理的方法
- Model an Excavator Dipper Arm as a Flexible Body (Simscape Multibody)
Use the Reduced Order Flexible Solid block to model a deformable body of arbitrary geometry. Start with the CAD geometry of the body, produce a finite-element mesh, and generate reduced-order data to use with the block. - Improve Simulation Speed of Power Electronics Systems with Reduced Order Modeling (Simscape Electrical)
This example shows how to enhance the model simulation speed of an electro-thermal DC-DC step-down converter by converting a high-fidelity switch to a reduced order model (ROM) switch. (自 R2024b 起)
相关信息
- Reduced Order Modeling (System Identification Toolbox)
- 降阶建模发现页
