Advanced Automation

[lecture #1] 2012.9.6 review of classical control theory

[lecture #2] 2012.9.20 given by Prof. Kimura

[lecture #3] 2012.9.27 CACSD introduction with review of classical and modern control theory

  1. introduction of Matlab and Simulink
  2. relationship between TF and SSR
  3. open-loop stability can be checked by poles of TF and eigenvalues of A-matrix in SSR
  4. closed-loop stability
    • graphical test by Nyquist stability criterion and Bode plot with GM(gain margin) and PM(phase margin)
    • numerical test by poles of closed-loop TF and eigenvalues of A-matrix in closed-loop SSR
    • example: stabilization of unstable system
%-- 9/27/2012 1:07 PM --%
a = 1
pwd
G1 = 1/(s+1)
ex0927_1
G1 = 1/(s+1)
A
ex0927_2
G2_tf
G2_tf.den
G2_tf.den{:}
G2_tf.num{:}
eig(G2_tf)
G2_ss.a
eig(G2_ss.a)
G2_ss
G2_ss.a
G2_ss.b
ex0927_3
nyquist(1.5*G3_tf)
nyquist(-1.5*G3_tf)
bode(-1.5*G3_tf)
bode(1.5*G3_tf)
K
K = 1
ex0927_4
ex0927_5
A
eig(A)
K = 0
K=1
ex0927_5 

[lecture #4] 2012.10.4 Intro. to robust control theory (H infinity control theory)

  1. Typical design problems
    1. robust stabilization
    2. performance optimization
    3. robust performance problem (robust stability and performance optimization are simultaneously considered)
  2. H infinity norm
    • definition
    • example
  3. H infinity control problem
    • definition
    • application example : reference tracking problem
      • relation to the sensitivity function S(s) (S(s) -> 0 is desired but impossible)
      • given control system please change the line `K = 1' to `K = ss(1)'
%-- 10/4/2012 1:11 PM --%
s = tf('s')
G = 1/(s+1)
norm(G, 'inf')
help norm
ex1004_1
ex1004_2
K
K_hinf
size(K_hinf.a)

[lecture #5] 2012.10.11 Introduction to Robust Control (cont.)

  1. Typical design problems
    1. robust stabilization ... plant is given as class
    2. performance optimization; ... plant has no variation
    3. robust performance problem (robust stability and performance optimization are simultaneously considered)
  2. connection between H infinity control problem and robust stabilization
    • normalized uncertainty \Delta
    • small gain theorem
    • sketch proof ... Nyquist stability criterion
  3. How to design robust stabilizing controller with H infinity control problem ?
    • connection between \Delta and plant ?
    • generalized plant G ?
    • practical example of robust stabilization problem
%-- 10/11/2012 12:56 PM --%
ex1011_1
ex1011_2
ex1011_3
mod1011
ex1011_1
P
ex1011_2
1i
j
j = 2
1i = 2
ex1011_3
mod1011
c = 0.8
c = 1.2
c = 1.3
c = 2

!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! the followings are under construction !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!

[lecture #6] 2011.10.27 norm (vector space, normed linear space), singular value, mixed sensitivity problem

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[lecture #8] 2011.11.10 state space representation of connected system, state space representation of generalized plant for various control problem, mixed sensitivity problem (by Prof. Kimura)

see Prof. Kimura's page

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[lecture #9] 2011.12.1 robust control design example: Robust Control System Synthesis for Pneumatic Systems (given by Prof. Kimura)

[lecture #10] 2011.12.8 Speed control of two inertia system with servo motor (1/3)

  1. design your controller(s) so that the system performance is improved compared with the given example above
  2. Draw the following figures and explain the difference between two control systems (your controller and the example above):
    1. bode diagram of controllers
    2. gain characteristic of closed-loop systems
    3. time response of control experiment
  3. Why is the performance of your system improved(or unfortunately decreased)?
    • due date: 28th(Wed) Dec 17:00
    • submit your report(pdf or doc) by e-mail to kobayasi@nagaokaut.ac.jp
    • You can use Japanese
    • maximum controller order is 20
    • submit your cont.dat, cont_order.dat, and cont.mat to kobayasi@nagaokaut.ac.jp not later than 23th(Fri) Dec

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%-- 12/8/2011 1:22 PM --%
freqresp
nominal
weight
load result_small.dat
result_small
plot(result_small(:,1),result_small(:,2))
plot(result_small(:,1),result_small(:,2), 'b', result_small(:,1),result_small (:,4),'r')

[lecture #11] 2011.12.15 Speed control of two inertia system with servo motor (2/3)

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%-- 12/15/2011 1:06 PM --%
cont
help hinfsyn
K
Ktf = tf(K)
bode(K, 'r', Ktf, 'b')
legend('ss', 'tf')
help fitsys

[lecture #12] 2011.12.22 Speed control of two inertia system with servo motor (3/3)

participant list2011

supplementary lectures will be given by Prof. Kimura.

%-- 12/22/2011 1:20 PM --%
nominal
ctrlpref
nominal
weight
cont
ks
cont
compare_result

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