Title: Theory and Practice on Analysis and Design of Linear Control Systems Part II
1Theory and Practice on Analysis and Design of
Linear Control Systems Part II-
Instructor
Prof. Masayuki Fujita
6 / 2, 6 / 16 , 6 / 23, 6 / 30, 7 / 14,
7 / 21
Schedule
(No class) 6 / 9 ACC, 7 / 7 MSC
Textbook
1) K. J. Astrom and R. M. Murray, Feedback
Systems, Princeton University Press (2008)
Reference Books
2You can download pdf files of books 1) and 3)
1) Feedback Systems
Chapter 11 http//www.fl.ctrl.titech.ac.jp/co
urse/SC/FS_cp11.pdf
Chapter 12 http//www.fl.ctrl.titech.ac.jp/co
urse/SC/FS_cp12.pdf
Web Information on the lecture will be
continuously uploaded
http//www.fl.ctrl.titech.ac.jp/course/SC/09SC/09S
C.html
311.1 Sensitivity Functions
Basic Feedback Loop
Fig. 11.1
Measurement noise
Process output
Load disturbance
Measured signal
Feedback block
Control variable
Process
Reference signal
Feedforward block
( )
4Control System Transfer Functions
?
Fig. 11.1
5Gang of Four
Fig. 11.1
Gang of Four
complementary sensitivity function
load sensitivity function
noise sensitivity function
sensitivity function
..(11.3)
6General Representation
Fig. 11.1
7Example 11.1
Fig. 11.1
Process
Stable ?
Controller
8Gang of Four
Complementary Sensitivity Function
Load Sensitivity Function
can be unstable
Noise Sensitivity Function
Sensitivity Function
unstable
(a) Step response
(b) Frequency response
9 Internal Stability
Fig. 11.1
Internal stability
All of the Gang of Four are stable.
complementary sensitivity function
load sensitivity function
noise sensitivity function
sensitivity function
..(11.3)
Well-posed
10Youla Parameterization (stable process)
...(12.8)
All stabilizing controllers
11Youla Parameterization (unstable process)
Stable
Coprime Factorization
Stable
Fig.12.8(b)
All stabilizing controllers
Stable
...(12.9)
Gang of Four
12-Break -
American Control Conference (ACC) 2009
St. Louis, Missouri, USA, June 10 - 12, 2009
http//a2c2.org/conferences/acc2009/
Plenary lecture
Donald P. Eckman Award
Asu Ozdaglar (MIT)
"Learning and Dynamics in Networks"
Panos Antsaklis (Univ. of Notre Dame)
"From Hybrid to Networked Cyber-Physical Systems"
13Jun. 17th , 1st
11.1 Sensitivity Functions (12.2 Youla
Parameterization )
Keywords
Basic Feedback Loop, Gang of Four
11.3 Performance Specifications
(12.3 Performance in the Presence of Uncertainty)
Keywords
Sensitivity function, Complementary Sensitivity
function, Load Sensitivity function, Noise
Sensitivity function
1411.3 Performance Specifications
Time Responses ( 5.3)
- Overshoot
- Steady-state value
- Rise time
- Settling time
Step response
Fig. 5.9
152nd-order system
Natural angular frequency
Damping factor
Im
Relationship between poles and time responses
16Disturbance Attenuation Open Loop vs. Closed
Loop
Open Loop
Closed Loop (feedback)
Fig. 11.1
17 resonant peak
peak freq.
sens. crossover
sens. bandwidth
Fig. 11.6(a)
the shortest distance from the Nyquist
curve to the critical point (-1)
Large ? Poor
maximum sensitivity
Im
stability margin
Re
Fig. 11.6(b)
18Process Variations ( 12.3)
Fig. 11.1
?
Exercise
The response to load disturbances is insensitive
to process variations for frequencies where
is small.
?
Exercise
Sensitivity functions around the nominal values
tell us how tracking responses vary as a function
of process perturbations.
19Complementary sensitivity function
resonant peak
bandwidth
peak frequency
Robust Stability is characterized by the
complementary sensitivity function ? 2nd Lecture
20Load Sensitivity Function
with integral action
...(11.8, 11.9)
for small
for large
Fig. 11.1
21Noise Sensitivity Function
...(11.10)
for small
for large
Fig. 11.1
22Jun. 17th , 1st
11.1 Sensitivity Functions (12.2 Youla
Parameterization )
Keywords
Basic Feedback Loop, Gang of Four
11.3 Performance Specifications
(12.3 Performance in the Presence of Uncertainty)
Keywords
Sensitivity function, Complementary Sensitivity
function, Load Sensitivity function, Noise
Sensitivity function
23Jun. 24th , 2nd
12.1 Modeling Uncertainty
Modeling Uncertainty, Parametric
Uncertainty, Unmodeled Dynamics
Keyword
12.2 Stability in the Presence of Uncertainty
Keyword
Complementary sensitivity function