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- toc
- Introduction
- Product Description
- Product Requirements
- Modeling Uncertainty
- System with Uncertain Parameters
- Worst-Case Performance
- Worst-Case Performance of Uncertain System
- Synthesis of Robust MIMO Controllers
- Loop-Shaping Controller Design
- Model Reduction and Approximation
- Reduce Order of Synthesized Controller
- LMI Solvers
- Extends Control System Toolbox Capabilities
- Acknowledgments
- Bibliography
- Multivariable Loop Shaping
- Tradeoff Between Performance and Robustness
- Norms and Singular Values
- Typical Loop Shapes, S and T Design
- Using LOOPSYN to Do H-Infinity Loop Shaping
- Loop-Shaping Control Design of Aircraft Model
- Fine-Tuning the LOOPSYN Target Loop Shape Gd to Meet Design Goal
- Mixed-Sensitivity Loop Shaping
- Mixed-Sensitivity Loop-Shaping Controller Design
- Loop-Shaping Commands
- Model Reduction for Robust Control
- Robustness Analysis
- H-Infinity and Mu Synthesis
- Tuning Fixed Control Architectures
- What Is a Fixed-Structure Control System?
- Choosing an Approach to Fixed Control Structure Tuning
- Difference Between Fixed-Structure Tuning and Traditional H-Infi
- How looptune Sees a Control System
- Set Up Your Control System for Tuning with looptune
- Performance and Robustness Specifications for looptune
- Related Examples
- Tune a MIMO Control System for a Specified Bandwidth
- What Is hinfstruct?
- Formulating Design Requirements as H-Infinity Constraints
- Structured H-Infinity Synthesis Workflow
- Build Tunable Closed-Loop Model for Tuning with hinfstruct
- Tune the Controller Parameters
- Interpret the Outputs of hinfstruct
- Validate the Controller Design
- Set Up Your Control System for Tuning with systune
- Specifying Design Requirements for systune
- Tune Controller Against Set of Plant Models
- Supported Blocks for Tuning in Simulink
- Speed Up Tuning with Parallel Computing Toolbox Software
- Tuning Control Systems with SYSTUNE
- Head-Disk Assembly Control
- Specifying the Tunable Elements
- Building a Tunable Closed-Loop Model
- Specifying the Design Requirements
- Tuning the Controller Parameters
- Validating Results
- Tuning Feedback Loops with LOOPTUNE
- Engine Speed Control
- Specifying the Tunable Elements
- Building a Tunable Model of the Feedback Loop
- Tuning the Controller Parameters
- Validating Results
- Tuning Control Systems in Simulink
- Engine Speed Control
- Controller Tuning with SYSTUNE
- Controller Tuning with LOOPTUNE
- Validation in Simulink
- Comparison of PI and PID Controllers
- Building Tunable Models
- Background
- Using Pre-Defined Tunable Elements
- Interacting with the Tunable Parameters
- Creating Custom Tunable Elements
- Enabling Open-Loop Requirements
- Using Design Requirement Objects
- Background
- Tracking Requirement
- Gain Requirement
- Variance Requirement
- Weighted Gain and Weighted Variance Requirements
- Loop Shape Requirement
- Stability Margins Requirement
- Closed-Loop Pole Requirement
- Stable Controller Requirement
- Configuring Requirements
- Validating Results
- Background
- Controller Tuning with SYSTUNE
- Interpreting Results
- Verifying Requirements
- Evaluating Requirements
- Analyzing System Responses
- Soft vs Hard Requirements
- Tuning Multi-Loop Control Systems
- Cascaded PID Loops
- Plant Models and Bandwidth Requirements
- Tuning the PID Controllers with SYSTUNE
- Validating the Design
- Equivalent Workflow in MATLAB
- Using Parallel Computing to Accelerate Tuning
- Background
- Autopilot Tuning
- Parallel Tuning with LOOPTUNE
- Decoupling Controller for a Distillation Column
- Distillation Column Model
- Control Architecture
- Controller Tuning in Simulink with LOOPTUNE
- Equivalent Workflow in MATLAB
- Tuning of a Digital Motion Control System
- Motion Control System
- Compensator Tuning
- Design Validation
- Tuning an Additional Notch Filter
- Discretizing the Notch Filter
- Control of a Linear Electric Actuator
- Linear Electric Actuator Model
- Design Specifications
- Control System Tuning
- Preventing Saturations
- Active Vibration Control in Three-Story Building
- Background
- Model of Earthquake Acceleration
- Open-Loop Characteristics
- Control Structure and Design Requirements
- Controller Tuning
- Validation
- Tuning of a Two-Loop Autopilot
- Model of Airframe Autopilot
- Frequency-Domain Tuning with LOOPTUNE
- Adding a Tracking Requirement
- MIMO Design with SYSTUNE
- Control of a UAV Formation
- Background
- Model and Control Structure
- Design Requirements
- Tuning of Decentralized Controller
- Closed-Loop Simulation
- Multi-Loop Controller for the Westland Lynx Helicopter
- Helicopter Model
- Control Architecture
- Controller Tuning
- Benefit of the Inner Loop
- Fixed-Structure Autopilot for a Passenger Jet
- Aircraft Model and Autopilot Configuration
- Tuning Setup
- Design Requirements
- Autopilot Tuning
- Closed-Loop Simulations
- Reliable Control of a Fighter Jet
- Background
- Aircraft Model
- Actuator Failures
- Design Requirements
- Controller Tuning for Nominal Flight
- Controller Tuning for Reliable Flight
- Fixed-Structure H-infinity Synthesis with HINFSTRUCT
- Introduction
- Plant Model
- Tunable Elements
- Loop Shaping Design
- Specifying the Control Structure in MATLAB
- Tuning the Controller Gains
- Tuning the Controller Gains from Simulink
- Examples
- Index
- Introduction
- tables