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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

• Frequency Response Estimation

Using Frequency Response Models

What Is a Frequency Response Model?

Model Requirements

Estimation Requires Input and Output Signals

• Creating Input Signals for Estimation

Supported Input Signals

Creating Sinestream Input Signals

Creating Chirp Input Signals

Modifying Input Signals

• Estimating Frequency Response

Estimating Frequency Response Using Linear Analysis Tool

Estimating Frequency Response (MATLAB Code)

• Analyzing Estimated Frequency Response

View Simulation Results

Interpret Frequency Response Estimation Results

Analyze Simulated Output and FFT at Specific Frequencies

Annotate Frequency Response Estimation Plots

Displaying Estimation Results for Multiple-Input Multiple-Output (MIMO) Systems

• Troubleshooting Frequency Response Estimation

When to Troubleshoot

Time Response Not at Steady State

FFT Contains Large Harmonics at Frequencies Other than the Input Signal Frequency

Time Response Grows Without Bound

Time Response Is Discontinuous or Zero

Time Response Is Noisy

• Effects of Time-Varying Simulink Source Blocks on Frequency Response Estimation

Setting Time-Varying Sources to Constant for Estimation Using Linear Analysis Tool

Setting Time-Varying Sources to Constant for Estimation (MATLAB Code)

Effects of Noise on Frequency Response Estimation

Estimating Frequency Response Models with Noise Using Signal Processing Toolbox

Estimating Frequency Response Models with Noise Using System Identification Toolbox

• Managing Estimation Speed and Memory

Ways to Speed up Frequency Response Estimation

Speeding Up Estimation Using Parallel Computing

Managing Memory During Frequency Response Estimation

• Designing Compensators

• Model Verification

• Model Advisor Checks

• Release Notes

Frequency Response Estimation

Exact Linearization Algorithm

Exact Linearization Algorithm

Using Frequency Response Models

Using Frequency Response Models

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