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R2011b Documentation → Simulink Control Design
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Contents

Index

• Getting Started

What Is a Steady-State Operating Point?

Steady-State Operating Points (Trimming) From Specifications

magball Simulink Model

Applications of Linearization

Open-Loop Response of Control System for Stability Margin Analysis

Bode Response of Simulink Model

watertank Simulink Model

Automated Tuning of Simulink PID Controller Block

• Designing a Controller Using Automated Tuning and Bode Graphical Design

About This Tutorial

PID Control Design Using Robust-Response-Time Tuning Algorithm

PID Control Design Using Bode Graphical Tuning

Closed-Loop Simulation of Simulink Model

• User's Guide

• Steady-State Operating Points

• Linearization

• Linearizing Nonlinear Models

What Is Linearization?

Applications of Linearization

Linearization in Simulink Control Design

Choosing Linearization Tools

Model Requirements for Exact Linearization

Operating Point Impact on Linearization

• Specify Model Portion to Linearize

Specifying Subsystem, Loop, or Block to Linearize

Opening Feedback Loops

Select Individual Bus Elements as Linearization Points

Plant Linearization

Open-Loop Response of Control System for Stability Margin Analysis

• Linearize at Model Operating Point

Linearize Simulink Model

Visualize Bode Response of Simulink Model During Simulation

Linearize at Trimmed Operating Point

• Linearize at Simulation Snapshots and Triggered Events

Linearize at Simulation Snapshot

Linearize at Triggered Simulation Events

Visualize Linear System Characteristics at Multiple Simulation Snapshots

Visualize Linear System Characteristics of a Continuous-Time Model Discretized During Simulation

Visualize Linear System Characteristics at Trigger-Based Simulation Events

• State Order in Linearized Model

Control State Order of Linearized Model using Linear Analysis Tool

Control State Order of Linearized Model using MATLAB Code

• Linearization Range of Accuracy

Frequency-Domain Validation of Linearization Results

Time-Domain Validation of Linearization Results

• Visualize Models

Specify Plot for Linearization Result

Generate Multiple Plots for a Linear System

Plotting Multiple Linear Systems in a Single Plot

• Troubleshooting Linearization

Basic Linearization Troubleshooting

Check Operating Point

Check Linearization I/O Points Placement

Check Loop Opening Placement

Check Phase of Frequency Response for Models with Time Delays

Check Individual Block Linearization Values

Check Large Models

Check Multirate Models

• Controlling Block Linearization

Why Specify Block Linearization Behavior?

Specify Linear System for Block Linearization Using MATLAB Expression

Specify D-Matrix System for Block Linearization Using Function

Augmenting the Linearization of a Block

Models With Time Delays

Perturbation Level of Blocks Perturbed During Linearization

Blocks with Nondouble Precision Data Type Signals

Event-Based Subsystems (Externally Scheduled Subsystems)

Models with Pulse Width Modulation (PWM) Signals

• Speeding Up Linearization of Complex Models

Factors That Impact Linearization Performance

Blocks with Complex Initialization Functions

Disabling the Linearization Inspector in the Linear Analysis Tool

Batch Linearization of Large Simulink Models

• Exact Linearization Algorithm

Continuous-Time Models

Multirate Models

Perturbation of Individual Blocks

User-Defined Blocks

Look Up Tables

• Frequency Response Estimation

• Designing Compensators

• Model Verification

• Model Advisor Checks

• Blocks

• Functions

Examples

• Release Notes

Linearization

Synchronize Simulink Model Changes With Operating Point Specifications

Linearizing Nonlinear Models

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