HW5-Solutions
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Purdue University *
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Course
375
Subject
Mechanical Engineering
Date
Apr 3, 2024
Type
Pages
13
Uploaded by ColonelHeat13546
ME375
Homework 5 - Spring 2024
Due at 5:00pm on Wednesday, March 20
R
(
s
)
+
Y
(
s
)
P
(
s
)
C
(
s
)
-
Figure 1: Use this figure for Problem 1
1. (Lead compensator design) Given the plant
P
(
s
) =
1
s
(
s
+ 1)
in the block diagram of Figure 1, your objective is to design a lead compensator,
C
(
s
), such that the closed loop system
will have about 15% maximum overshoot and 2% settling time of about 1.33 s.
a. Estimate the closed loop bandwidth and phase margin corresponding to about 15% overshoot and 2% settling time
of 1.33 seconds. (For simplicity, assume the closed loop bandwidth, closed loop natural frequency, and gain crossover
frequency are equal.)
•
Percent overshoot is related to damping ratio
% overshoot
=
100%
e
−
πζ
√
1
−
ζ
2
(1)
15%
=
(2)
ζ
=
0
.
52
(3)
•
Damping ratio is approximately related to phase margin (in degrees)
ζ
≈
PM
100
(4)
PM
≈
100
ζ
(5)
≈
100
·
0
.
52
(6)
=
52
◦
(7)
•
2% settling time
t
2%
=
4
ζω
n
(8)
ω
n
=
4
ζt
2%
(9)
=
4
0
.
52
·
1
.
33
(10)
=
5
.
78 rad/s
(11)
•
Approximate bandwidth
ω
BW
≈
ω
n
(12)
≈
5
.
78 rad/s
(13)
b. Use frequency domain controller techniques to construct an initial design for a lead compensator of the form
C
(
s
) =
K
s
−
z
s
−
p
to achieve the objective. (Note, your initial design need not perfectly meet the objective.)
•
Approach 1 (gain crossover frequency is in the ballpark)
1
Copyright 2024, Todd Lillian
ME375
Homework 5 - Spring 2024
Due at 5:00pm on Wednesday, March 20
–
Let’s approximate the desired gain crossover frequency with bandwidth.
ω
gc
≈
ω
BW
(14)
≈
5
.
78 rad/s
(15)
–
Find
K
to satisfy gain crossover frequency
K
=
1
|
P
(
jω
gc
)
|
(16)
=
|
jω
gc
(
jω
gc
+ 1)
|
(17)
=
|
j
5
.
78(
j
5
.
78 + 1)
|
(18)
=
|
j
5
.
78
| |
(
j
5
.
78 + 1)
|
(19)
=
5
.
78
·
p
5
.
78
2
+ 1
2
(20)
=
33
.
9
(21)
–
How much phase angle do we need to add at
ω
gc
to meet our margin requirement (including somewhere
between 5-12
◦
extra; lets use 7
.
8
◦
)
additional phase
=
PM
−
̸
P
(
jω
gc
) + 7
.
8
◦
(22)
=
PM
−
(180
◦
+
̸
P
(
jω
gc
)) + 7
.
8
◦
(23)
=
52
◦
−
(180
◦
+
̸
1
jω
gc
(
jω
gc
+ 1)
) + 7
.
8
◦
(24)
=
52
◦
−
(180
◦
+
̸
1
j
5
.
78(
j
5
.
78 + 1)
) + 7
.
8
◦
(25)
=
42
.
2
◦
+ 7
.
8
◦
(26)
=
50
◦
(27)
–
Calculate the corresponding ratio
α
=
z
p
α
=
1
−
sin(additional phase)
1 + sin(additional phase)
(28)
=
1
−
sin(50
◦
)
1 + sin(50
◦
)
(29)
0
.
133
(30)
–
Lead compensator
C
(
s
)
=
K
1
α
s
+
ω
gc
√
α
s
+
ω
gc
√
α
(31)
=
33
.
9
1
0
.
133
s
+ 5
.
78
√
0
.
133
s
+ 5
.
78
1
√
0
.
133
(32)
=
255
s
+ 2
.
11
s
+ 15
.
8
(33)
–
Although this approach will get us sufficiently close to an acceptable controller that we can iterate, it yields
a larger than required gain crossover frequency. In many applications this may be a good thing because the
system will respond faster.
•
Approach 2 (exact gain crossover frequency)
–
Let’s approximate the desired gain crossover frequency with bandwidth.
ω
gc
≈
ω
BW
(34)
≈
5
.
78 rad/s
(35)
2
Copyright 2024, Todd Lillian
ME375
Homework 5 - Spring 2024
Due at 5:00pm on Wednesday, March 20
–
How much phase angle do we need to add at
ω
gc
to meet our margin requirement
additional phase
=
PM
−
̸
P
(
jω
gc
)
(36)
=
PM
−
(180
◦
+
̸
P
(
jω
gc
))
(37)
=
52
◦
−
(180
◦
+
̸
1
jω
gc
(
jω
gc
+ 1)
)
(38)
=
52
◦
−
(180
◦
+
̸
1
j
5
.
78(
j
5
.
78 + 1)
)
(39)
=
42
.
2
◦
(40)
–
Calculate the corresponding ratio
α
=
z
p
α
=
1
−
sin(additional phase)
1 + sin(additional phase)
(41)
=
1
−
sin(42
.
2
◦
)
1 + sin(42
.
2
◦
)
(42)
0
.
196
(43)
–
How much gain,
K
, do we need to make
ω
gc
the crossover frequency
K
=
1
1
α
jω
gc
+
ω
gc
√
α
jω
gc
+
ωgc
√
α
P
(
jω
gc
)
(44)
=
1
1
√
α
j
+
√
α
√
αj
+1
P
(
jω
gc
)
(45)
=
1
1
√
α
|
P
(
jω
gc
)
|
(46)
=
√
α
|
jω
gc
(
jω
gc
+ 1)
|
(47)
=
√
.
196
|
j
5
.
78(
j
5
.
78 + 1)
|
(48)
=
√
.
196
|
j
5
.
78
| |
(
j
5
.
78 + 1)
|
(49)
=
√
.
196
·
5
.
78
·
p
5
.
78
2
+ 1
2
(50)
=
15
.
0
(51)
–
Lead compensator
C
(
s
)
=
K
1
α
s
+
ω
gc
√
α
s
+
ω
gc
√
α
(52)
=
15
.
0
1
0
.
196
s
+ 5
.
78
√
0
.
196
s
+ 5
.
78
1
√
0
.
196
(53)
=
76
.
6
s
+ 2
.
56
s
+ 13
.
1
(54)
c. Use software to compute the phase margin, gain margin, and gain crossover frequency for your design.
•
see Matlab script below which uses the second approach from above
d. Use software to plot the closed loop step response for your system.
•
see Matlab script below which uses the second approach from above
e. Use software to determine the maximum percent overshoot and settling time for your system. (Hint, you may want
to use the
stepinfo(sys)
command in Matlab.)
•
see Matlab script below which uses the second approach from above
3
Copyright 2024, Todd Lillian
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clear all
clc
close all
P=tf(1,[1,1,0]);
C=zpk(-2.56,-13.1,76.6);
margin(P*C)
figure()
sys=feedback(P*C,1);
step(sys)
stepinfo(sys)
ans = struct with fields:
RiseTime: 0.2056
TransientTime: 1.0396
SettlingTime: 1.0396
SettlingMin: 0.9154
SettlingMax: 1.2093
Overshoot: 20.9291
Undershoot: 0
Peak: 1.2093
PeakTime: 0.5006
1
Published with MATLAB® R2021b
2
ME375
Homework 5 - Spring 2024
Due at 5:00pm on Wednesday, March 20
R
(
s
)
+
Y
(
s
)
P
(
s
)
C
(
s
)
-
Figure 2: Use this figure for Problem 2
2. (Lag-lead compensator design) Given the plant
P
(
s
) =
1
(
s
2
+ 2
s
+ 2)(
s
+ 5)
in the block diagram of Figure 2, your objective is to design a lag-lead compensator,
C
(
s
), such that the resultant
system has a phase margin of 45
◦
, steady state error to a unit step of 0.01, and gain crossover frequency of
ω
gc
= 3
rad/s. Complete the following:
a. Determine the static gain of lag-lead compensator,
K
, necessary to meet the steady state error requirement.
e
ss
=
1
1 +
K
p
(55)
K
p
=
1
e
ss
−
1
(56)
KP
(0)
=
(57)
K
=
1
e
ss
−
1
P
(0)
(58)
=
100
−
1
1
10
(59)
=
990
(60)
b. Design a lead compensator to meet the phase margin requirement at the desired crossover frequency,
ω
gc
= 3.
•
Additional phase needed from lead compensator (an extra 5.57
◦
are added to account for a reduction in angle
by the lag compensator)
additional angle
=
PM
−
(180
◦
+
̸
P
(
ω
gc
))
(61)
=
45
◦
+ 5
.
57
◦
−
180
◦
−
̸
1
(
−
ω
2
gc
+ 2
jω
gc
+ 2)(
jω
gc
+ 5)
(62)
=
45
◦
+ 5
.
57
◦
−
180
◦
+
̸
(
−
ω
2
gc
+ 2
jω
gc
+ 2) +
̸
(
jω
gc
+ 5)
(63)
=
45
◦
+ 5
.
57
◦
−
180
◦
+
̸
(
−
3
2
+ 2
j
3 + 2) +
̸
(
j
3 + 5)
(64)
=
45
◦
+ 5
.
57
◦
−
180
◦
+
̸
(
−
7 + 6
j
) +
̸
(5 + 3
j
)
(65)
=
45
◦
+ 5
.
57
◦
−
180
◦
+ tan
−
1
6
−
7
+ tan
−
1
3
5
(66)
=
45
◦
+ 5
.
57
◦
−
180
◦
+ 139
.
4
◦
+ 30
.
96
◦
(67)
=
40
.
93
◦
(68)
•
lead ratio
α
=
1
−
sin(additional phase)
1 + sin(additional phase)
(69)
=
1
−
sin(40
.
93
◦
)
1 + sin(40
.
8
◦
)
(70)
=
0
.
2084
(71)
6
Copyright 2024, Todd Lillian
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ME375
Homework 5 - Spring 2024
Due at 5:00pm on Wednesday, March 20
•
Lead compensator
C
lead
(
s
)
=
K
1
ωgc
√
α
s
+ 1
√
α
ωgc
s
+ 1
(72)
=
990
1
3
√
0
.
2084
s
+ 1
√
0
.
2084
3
s
+ 1
(73)
=
990
1
1
.
370
s
+ 1
1
6
.
572
s
+ 1
(74)
c. Design a lag compensator such that the gain crossover frequency is
ω
gc
= 3 rad./s.
•
Current gain at
ω
gc
= 3
Γ
=
P
(
jω
gc
)
C
lead
(
jω
gc
)
|
(75)
=
1
((
jω
gc
)
2
+ 2
jω
gc
+ 2)(
jω
gc
+ 5)
990
1
1
.
370
jωgc
+ 1
1
6
.
572
jω
gc
+ 1
(76)
=
40
.
33
(77)
•
Lag compensator
C
lag
(
s
)
=
10
ω
gc
s
+ 1
10Γ
ω
gc
s
+ 1
(78)
=
1
0
.
3
s
+ 1
1
0
.
0074
s
+ 1
(79)
d. Use software to determine the gain and phase margin for your design.
•
See matlab script below
•
Gain margin: GM=11.1 dB /Users/tlillian/Library/Mobile Documents/com apple CloudDocs/Course Content/ME375-
2024-Spring/HW/HW5/Figures/HW4Prob1Figure.pdf
•
Phase margin: PM=44.8
◦
e. Compute the closed loop poles for your design to verify its stability.
•
See matlab script below
•
Stable: all poles have negative real parts.
7
Copyright 2024, Todd Lillian
clear all
clc
close all
ess=1/100;
P=zpk([],[-1-1j,-1+1j,-5],1);
w_gc=3;
NSF=4;
%number of sig figs
K=round((1/ess-1)/dcgain(P),NSF,
'significant'
);
AdditionalPhase=round(45+5.569-
(180+rad2deg(angle(freqresp(P*K,w_gc)))),4,
'significant'
);
alpha=round((1-sin(deg2rad(AdditionalPhase)))/
(1+sin(deg2rad(AdditionalPhase))),NSF,
'significant'
);
z=round(w_gc*sqrt(alpha),NSF,
'significant'
);
p=round(w_gc/sqrt(alpha),NSF,
'significant'
);
C1=tf([1/z,1],[1/p,1])*K;
Gamma=round(abs(freqresp(C1*P,w_gc)),NSF,
'significant'
);
w_z=round(w_gc/10,NSF,
'significant'
);
w_p=round(w_z/Gamma,NSF,
'significant'
);
C2=tf([1/w_z,1],[1/w_p,1]);
margin(P*C1*C2)
pole(feedback(P*C1*C2,1))
ans =
-9.4417 + 0.0000i
-1.1527 + 3.6230i
-1.1527 - 3.6230i
-0.2225 + 0.0000i
-1.6097 + 0.0000i
1
Published with MATLAB® R2021b
2
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ME375
Homework 5 - Spring 2024
Due at 5:00pm on Wednesday, March 20
R
(
s
)
+
Y
(
s
)
P
(
s
)
C
(
s
)
-
Figure 3: Use this figure for Problem 3
3. (PI compensator design) Given the plant
P
(
s
) =
1
(
s
+ 1)(
s
+ 5)
in the block diagram of Figure 3: design a PI compensator,
C
(
s
), such that the resultant system has a phase margin
of 45
◦
. Complete the following:
a. Design a PI compensator,
C
(
s
), such that the resultant system has a phase margin of 45
◦
.
•
Find the frequency at which the phase margin would be 45
◦
with a 5-12
◦
cushion. Using 10
◦
yields
–
Graphically
∗
Intersection of Bode plot with -125
◦
: 5.1686 rad/s
–
Algebraically
̸
P
(
jω
gc
) + 180
◦
=
55
◦
(80)
̸
1
(
jω
gc
+ 1)(
jω
gc
+ 5)
=
−
125
◦
(81)
̸
1
−
ω
2
gc
+ 6
jω
gc
+ 5
=
(82)
−
tan
−
1
6
ω
gc
5
−
ω
2
gc
=
(83)
6
ω
gc
5
−
ω
2
gc
=
tan (125
◦
)
(84)
−
tan (125
◦
)
ω
2
gc
−
6
ω
gc
+ 5 tan (125
◦
)
=
0
(85)
ω
gc
=
6
±
p
6
2
+ 4
·
5 tan
2
(125
◦
)
−
2 tan (125
◦
)
(86)
=
6 +
p
6
2
+ 4
·
5 tan
2
(125
◦
)
−
2 tan (125
◦
)
(87)
=
5
.
1686 rad/s
(88)
–
This is the desired gain crossover frequency:
ω
gc
= 5
.
1686 rad/s
(89)
•
Select
K
to make achieve the desired gain crossover frequency
K
=
1
|
P
(
jω
gc
|
(90)
=
|
(
jω
gc
+ 1)(
jω
gc
+ 5)
|
(91)
=
q
ω
2
gc
+ 1
q
ω
2
gc
+ 5
(92)
=
p
5
.
1686
2
+ 1
2
p
5
.
1686
2
+ 5
2
(93)
=
37
.
8581
(94)
10
Copyright 2024, Todd Lillian
ME375
Homework 5 - Spring 2024
Due at 5:00pm on Wednesday, March 20
•
Set
ω
z
using the rule of thumb
ω
z
=
ω
gc
10
(95)
=
0
.
51686
(96)
•
PI compensator
C
PI
=
K
s
+
ω
z
s
(97)
=
37
.
8581
s
+ 0
.
51686
s
(98)
b. Use software to determine the gain and phase margin of your design.
•
See matlab script below
•
Gain margin: GM=
∞
•
Phase margin: PM=49.2
◦
c. Compute the closed loop poles of your design to verify stability.
•
See matlab script below
•
stable: all poles have negative real parts
11
Copyright 2024, Todd Lillian
clear all
clc
close all
P=zpk([],[-1,-5],1);
wgc=(6+sqrt(6^2+20*tand(125)^2))/(-2*tand(125))
K=1/abs(freqresp(P,wgc))
C=zpk(-wgc/10,0,K);
margin(C*P)
pole(feedback(C*P,1))
wgc =
5.1686
K =
37.8583
ans =
-0.4871 + 0.0000i
-2.7565 + 5.7075i
-2.7565 - 5.7075i
1
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Published with MATLAB® R2022b
2
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Assembly of the global stiffness matrix.
Assembly of the global force matrix (if required).
Application of boundary conditions.
Resolution of the system of equations.
Derivation of the complete displacement vector (u).
Post-processing:
Reaction forces calculation.
Stress analysis.
Problem Statement: the truss nodes and elements (in parentheses) are already numbered. The areas (are in cm^2 ) are underlined. members are made of structural steel, modulus of elasticity is (E) of 20×10^6 N/cm^2 . the lengths are given in cm.
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Design a Moore type synchronous state machine with three external inputs A1, A2, A3 and
one output signal F. The output F goes to 1 when A1.A2.-A3 = 1 at the next system timing
event. The output F stays at 1 as long as A3=0; otherwise, the output goes to 0. (Note: use
a positive edge-triggered D flip-flop in the design)
Write a VHDL code to describe the implementation of one-digit decimal counter using
PROCESS.
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Statics; Diagram and working.
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3. As a robotic engineer, your boss needs you to move the gripper on the UGV to the target
object. The workspace is shown Figure 1. In order to finish the task, you need to find the
correct representation.
{b}
{c}
{e}
{s}
{d}
Figure 1 The Workspace
The fixed frame is {s}, a body frame {b} is attached to the chassis of the UGV, a body
frame {c} is attached to the gripper, a body frame {d} is attached to the sensor, and a
body frame {e} is attached to the target object. The sensor's location is known as Tsd,
the chassis of the UGV's location is known as Tsb, the gripper's location's is Tsc, and the
target object's location is Tse. The sensor can detect the target object, so the target
object can be represented in the sensor's frame. The configuration of the UGV is
reported simultaneously, and the gripper's configuration is also known. How to
represent the target object in the gripper's frame?
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3. Figure 5 shows a linear graph of a motor driving a heavy rotor. The electric circuit of the
motor consists of a voltage source Vs(t) and a resistor with resistance R. The rotor has
mass moment of inertia J. The motor is modeled as an ideal transformer with T = kai and
V = ka, where i and V are the current and voltage of the motor and T and 2 are the torque
and angular velocity of the rotor. Answer the following questions.
(a) Determine the driving point impedance Z(s).
2
(b) In an impedance test, the voltage is varied sinusoidally, i.e., Vs(t) = vo coswt, to measure
impedance Z(jw) along the pure imaginary axis. Roughly sketch the magnitude of Z (jw)
with respect to frequency w.
T(t)
+
R
V₁(t)
2
Figure 5: Linear graph of a motor
driving a heavy rotor
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