Loop-Shaping Design

Tune feedback loops for specified bandwidth and stability margins

At the command line, use looptune to tune SISO or MIMO feedback loops using a loop-shaping approach. looptune tunes a feedback loop to specified bandwidth and stability margins. In Control System Tuner, use Quick Loop Tuning for loop shaping of feedback loops.

Functions

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Loop-Shaping for Simulink Models

`slTuner`	Interface for control system tuning of Simulink models
`looptune`	Tune MIMO feedback loops in Simulink using `slTuner` interface
`looptuneOptions`	Set options for `looptune`
`loopview`	Graphically analyze results of control system tuning using `slTuner` interface
`looptuneSetup`	Construct tuning setup for `looptune` to tuning setup for `systune` using `slTuner` interface

Loop-Shaping for MATLAB Models

`looptune`	Tune fixed-structure feedback loops
`looptuneOptions`	Set options for `looptune`
`loopview`	Graphically analyze MIMO feedback loops
`looptuneSetup`	Convert tuning setup for `looptune` to tuning setup for `systune`

Evaluate Tuning Goals

`viewGoal`	View tuning goals; validate design against tuning goals
`evalGoal`	Evaluate tuning goals for tuned control system

Topics

Loop-Shaping Basics

Set Up Your Control System for Tuning with looptune
To use looptune, create a parameterized representation of your controller and a numeric model of your plant.
Structure of Control System for Tuning With looptune
looptune tunes the feedback loop illustrated below to meet default requirements or requirements that you specify.
Tune MIMO Control System for Specified Bandwidth
Tune a fixed-structure MIMO control system to achieve a specified loop crossover frequency using looptune.
Tune Feedback Loops Using looptune
The looptune command facilitates loop shaping design by automatically generating the tuning requirements.
How Tuned Simulink Blocks Are Parameterized
Both Control System Tuner and the slTuner interface automatically assign predefined parameterizations to certain Simulink^® blocks.
Tune Control Systems in Simulink
At the command line, use systune or looptune to automatically tune control systems modeled in Simulink.
Building Tunable Models
Build a control-system model for tuning with systune or looptune using numeric LTI models for fixed elements and control design blocks for the tunable elements.
Mark Signals of Interest for Control System Analysis and Design
Analysis points allow you to access to internal signals, perform open-loop analysis, or specify requirements for controller tuning in systems modeled in either MATLAB^® or Simulink.
Using Parallel Computing to Accelerate Tuning
Multiple optimization starts can improve control-system tuning results. If you have Parallel Computing Toolbox™, you can accelerate multi-start tuning strategies.

Loop-Shaping in Control System Tuner

Quick Loop Tuning of Feedback Loops in Control System Tuner
Tune a control system to meet specified bandwidth and stability margins in Control System Tuner, without explicitly creating tuning goals that capture these requirements.

Case Studies

Decoupling Controller for a Distillation Column
Use looptune to decouple the two main feedback loops in a distillation column.
Tuning of a Digital Motion Control System
Use looptune to tune a digital motion control system modeled in Simulink.
Multi-Loop PI Control of a Robotic Arm
This example shows how to use looptune to tune a multi-loop controller for a 6-DOF robotic arm manipulator.
Tuning of a Two-Loop Autopilot
Tune a two-loop autopilot controlling the pitch rate and vertical acceleration of an airframe.