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Chapter 1
Introduction
Xmath Control Design Module
1-24
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Figure 1-14.
Response of Observer-Based Controller to a Unit Step Disturbance
Contents
Main
Page
Important Information
Warranty
Copyright
Trademarks
Patents
Conventions
Contents
Chapter 1 Introduction
Chapter 2 Linear System Representation
Chapter 3 Building System Connections
Chapter 4 System Analysis
Chapter 5 Classical Feedback Analysis
Chapter 6 State-Space Design
Page
Introduction
Using This Manual
Document Organization
Bibliographic References
Commonly Used Nomenclature
Related Publications
MATRIXx Help
Control Design Tutorial
Helicopter Hover Problem: An Ad Hoc Approach
Use check( ) to convert the model to transfer-function form:
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Helicopter Hover Problem: State Feedback and Observer Design
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Helicopter Hover Problem: Discrete Formulation
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Inverted Wedge-Balancing Problem: LQG Control
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Linear System Representation
Linear Systems Represented in Xmath
Transfer Function System Models
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State-Space System Models
Basic System Building Functions
system( )
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abcd( )
form. If the system is a transfer function, the conversion to state-space is
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numden( )
period( )
names( )
Size and Indexing of Dynamic Systems
Using check( ) with System Objects
Discretizing a System
discretize( )
Numerical Integration Methods: forward, backward, tustins
Pole-Zero Matching: polezero
Z-Transform: ztransform
Hold Equivalence Methods: exponential and firstorder
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makecontinuous( )
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Building System Connections
Linear System Interconnection Operators
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Linear System Interconnection Functions
afeedback( )
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append( )
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connect( )
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feedback( )
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System Analysis
Time-Domain Solution of System Equations
System Stability: Poles and Zeros
poles( )
zeros( )
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Partial Fraction Expansion
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residue( )
combinepf( )
General Time-Domain Simulation
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Impulse Response of a System
impulse( )
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deftimerange( )
System Response to Initial Conditions
initial( )
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Step Response
step( )
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Classical Feedback Analysis
Feedback Control of a Plant Model
Root Locus
rlocus( )
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Frequency Response and Dynamic Response
freq( )
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Bode Frequency Analysis
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bode( )
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margin( )
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nichols( )
Nyquist Stability Analysis
nyquist( )
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Linear Systems and Power Spectral Density
psd( )
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State-Space Design
Controllability
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controllable( )
Observability and Estimation
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observable( )
Minimal Realizations
minimal( )
stair( )
Duality and Pole Placement
poleplace( )
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Linear Quadratic Regulator
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regulator( )
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Linear Quadratic Estimator
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estimator( )
Linear Quadratic Gaussian Compensation
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lqgcomp( )
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Riccati Equation
riccati( )
The small residue indicates that the problem was well posed and the solution is reliable.
A'PA PA'PB S+()RB'PB+()
Steady-State System Response Using Lyapunov Equations
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lyapunov( )
Discrete Lyapunov Equation
Continuous Lyapunov Equation
Special Lyapunov Equation
rms( )
Balancing a Linear System
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balance( )
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Modal Form of a System
modal( )
mreduce( )
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A
Technical References
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B
Technical Support and Professional Services
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Index
A
B
C
D
E
F
G
H
I
K
L
M
N
O
P
Q
R
S
T
U
W
Z