matlab control web

8/10/2019 matlab Control Web

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Control System Toolbox provides tools for

systematically analyzing, designing, and

tuning linear control systems. You can

specify a linear model of your system, plot

its time and frequency responses to under-

stand how the system behaves, tune the

controller parameters using automated and

interactive techniques, and verify perfor-

mance requirements, such as rise time and

gain/phase margins. Workflow-based

graphical user interfaces (GUIs) guide you

through each step of the analysis and

design process.

Control System Toolbox 8Design and analyze control systems

KEY FEATURES

Enables design of single-loop and multi-loop control systems

using a variety of classical and state-space techniques

Lets you analyze system responses and performance using a

GUI or command-line functions

Manually or automatically tunes SISO loops in Simulink models

(with Simulink Control Design, available separately)

Optimizes control system performance to meet time- and

frequency-based requirements (with Simulink Response

Optimization, available separately)

Represents and manipulates linear models as transfer-

function, state-space, zero-pole-gain, and frequency-response

data objects

Converts between model representations, discretizes continuous-

time models, and computes low-order approximations of high-

order systems

Uses state-of-the-art algorithms built on the LAPACK and

SLICOT libraries for optimal performance and accuracy

Accelerating the pace of engineering and scien

Control and Estimation Tools

Manager (above), a workflow-

based GUI that lets you perform

interactive design, graphical

tuning, and analysis of compen-

sators (right).


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Working with ControlSystem ToolboxLinear control techniques are the founda-

tion of control system design and analysis.

Control System Toolbox lets you createlinear models of your control system. Using

interactive visualization tools, you can

analyze these models to gain insight into the

control systems behavior, performance, and

limitations. You can also systematically tune

the control system parameters using single-

and multi-loop design techniques.

The linear models from Control System

Toolbox can be used in other control design

products, such as Robust Control Toolbox

and Model Predictive Control Toolbox.

Together with Simulink Control Design and

Simulink Response Optimization, Control

System Toolbox provides a comprehensive,

GUI-driven toolset for analyzing and tuning

control systems built in Simulink.

Creating and ManipulatingLinear ModelsControl System Toolbox lets you rep-

resent and manipulate linear models of

dynamic systems as objects. All standardrepresentations are supported, including

transfer function, zero-pole-gain, explicit

and descriptor state space, and frequency

response data. Linear models can be SISO,

MIMO, continuous, or discrete. In addi-

tion, you can accurately model and simulate

systems with time delays, including feed-

back loops with delays.

Control System Toolbox provides com-

mands for:

Performing arithmetic on linear models

Building complex block diagrams by con-

necting simple models in series, parallel,

or feedback

Discretizing continuous-time models

Computing low-order approximations of

high-order models

You can also use the LTI block to bring

linear model objects into Simulink.

Proportional-integral-derivative (PID)

tuning with the Control and Estimation

Tools Manager, which provides auto-

mated tuning algorithms for stable and

unstable systems.

Building a linear model of your plant is

usually the first step in designing a control

system. If no plant model is available, you

can build one by fitting test data using

System Identification Toolbox, or by lin-

earizing a Simulink model using Simulink

Control Design (both available separately).

Either model can be imported into Control

System Toolbox as an object. Once you have

created an object that represents your plant,

you can use Control System Toolbox to

analyze and control it.


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Analyzing ModelsControl System Toolbox provides exten-

sive GUIs and command-line functions

for analyzing linear systems. Using the LTI

Viewer, you can view and compare the time

and frequency responses of several linear

models at once. You can also inspect key

performance parameters, such as rise time,

maximum overshoot, and stability margins.

Available plots include step, impulse, Bode,

Nichols, Nyquist, singular value, and pole/

zero plots. You can simulate the response to

user-defined inputs and initial conditions tofurther investigate system performance.

Designing Single-LoopControl SystemsControl System Toolbox provides

command-line and GUI tools for designing

SISO control systems. With the SISO Design

Tool GUI you can:

Design common control components, such

as proportional integral derivatives (PIDs),

lead/lag networks, and notch filters

Automatically tune controllers using algo-

rithms, such as Ziegler-Nichols, Internal

Model Control (IMC), and Linear-Quadratic-Gaussian (LQG) design

Graphically tune SISO loops using classical

tools, such as root locus, Bode diagrams, or

Nichols charts

Monitor closed-loop responses and per-

formance requirements in real time while

tuning your controller

Evaluate design factors, such as choice of

sample time and controller complexity

When used with Simulink Control Design,

the SISO Design Tool lets you tune control-

lers directly in Simulink. When used with

Simulink Response Optimization, it lets

you optimize the control system parameters

to enforce time and frequency-based per-

formance requirements. When used withRobust Control Toolbox, it lets you auto-

matically shape open-loop responses using

H-infinity algorithms.

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Interactive compensator design in Simulink. You can

access the Control Systems Toolbox functionality from

within Simulink by using Simulink Control Design

(available separately).


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Designing Multi-LoopControl SystemsControl System Toolbox supports estab-

lished methods for MIMO design, including

LQG and pole placement algorithms. It

also provides tools for designing observers,

including Kalman filters.

You can use the SISO Design Tool from

within Simulink Control Design to tune

multi-loop controllers consisting of several

SISO loops. You can close SISO loops

sequentially, visualize loop interactions,and iteratively tune each loop for best

overall performance. You can then export

the tuned parameters to Simulink and

further validate the design through non-

linear simulation.

Required ProductsMATLAB

Related ProductsSimulink.Simulation and Model-Based

Design

Robust Control Toolbox.Design robust

controllers for plants with uncertain

parameters and unmodeled dynamics

Simulink Control Design.Design and

analyze control systems in Simulink

Simulink Response Optimization.

Optimize parameters in Simulink models

System Identification Toolbox. Create

linear and nonlinear dynamic models from

measured input-output data

Platform and System RequirementsFor platform and system requirements, visit

www.mathworks.com/products/control

2007 MATLAB, Simulink, Stateflow, Handle Graphics, Real-Time Workshop, and xPC TargetBox are registered trademarks andSimBiology, SimEvents, and SimHydraulics are trademarks of The MathWorks, Inc. Other product or brand names are trademarks orregistered trademarks of their respective holders.

Resources

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TECHNICAL SUPPORTwww.mathworks.com/support

ONLINE USER COMMUNITYwww.mathworks.com/matlabcentral

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TRAINING SERVICESwww.mathworks.com/training

THIRD-PARTY PRODUCTS AND SERVICEwww.mathworks.com/connections

WORLDWIDE CONTACTSwww.mathworks.com/contact

[email protected]

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matlab control web

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