MAR8067 Marine Machinery Systems - Desklib

Verified

Added on  2023/04/23

|12
|1473
|163
AI Summary
Get solved assignments, essays, dissertation and study material for MAR8067 Marine Machinery Systems at Desklib. This document covers closed-loop block diagram, transfer function, Bode diagram, stability analysis and more.
tabler-icon-diamond-filled.svg

Contribute Materials

Your contribution can guide someone’s learning journey. Share your documents today.
Document Page
MAR8067 MARINE MACHINERY SYSTEMS
By Name
Course
Instructor
Institution
Location
Date
tabler-icon-diamond-filled.svg

Secure Best Marks with AI Grader

Need help grading? Try our AI Grader for instant feedback on your assignments.
Document Page
Question 1
(a) closed-loop block diagram for this mechanical system
In problem statement it is provided that from geometry
z=k l1l2
l1
( x y ) l2
l1
y ..(1)
The flow rate balance gives
A dy
dt p . z
Applying Laplace transform
Document Page
AsY ( s ) = p z (s )
Y ( s )= z ( s)
As
Substituting equation 1in the equation above
Y ( s ) = p
As [ l1l2
l1 ( X ( s ) Y ( s ) ¿l2
l1
Y (s) ) ]
Input to system is X(s)
Output to system is Y(s)
The signal flow graph of the system is as shown
(b) closed-loop transfer function
The transfer function Y (s)
X ( s) may be obtained using the Mason’s gain formula
Gain=
i
Pi i

in which
P is the forward path gain
I is the number of forwards paths
Document Page
Loops in the signal flow graph is
L1= p l2
A sl1
L2= k (l1l2 )
l1 As
The value of in Mason’s Gain formula (to get the transfer function) is provided by
=1(l1+ l2)
=1+ p l2
A sl1
+ k (l1l2)
l1 As p
Forward paths from X(s) to Y(s)
p1= k (l1l2 )
l1 As p
1=1 For P1
The transfer function is T = Pi i

X (s)
Y ( s) =
k (l1l2 )
l1 As p
1+ p l2
A sl1
+ k (l1l2 )
l1 As p
X (s)
Y ( s) = k (l1l2 ) p
l1 As+ p l2 +k (l1 l2) p
tabler-icon-diamond-filled.svg

Secure Best Marks with AI Grader

Need help grading? Try our AI Grader for instant feedback on your assignments.
Document Page
X (s)
Y ( s) =
k (l1 l2)
l1 A p
s+ p l2
A l1
+ k (l1l2 ) p
A l1
Hence the transfer function of the provided system is
X (s)
Y ( s) =
k (l1 l2)
l1 A p
s+ p l2
A l1
+ k (l1l2 ) p
A l1
Question 2
(a) Bode diagram of this system
With reference the figure for block diagram
Write the open loop transfer function of the system
G ( s )=0.164 (s +0.2)(s0.32)
s2 (s+0.25)( s0.009)
¿ 0.164(s+ 0.2)(s+ 0.32)
s2 (s +0.25)(s0.009)
Calculate the closed loop transfer function for switch is opened
T ( s )= G(s)
1+G(s)
Document Page
0.164(s+ 0.2)(s+ 0.32)
s2 (s +0.25)(s0.009)
1+ 0.164 (s+0.2)(s+0.32)
s2 (s+ 0.25)( s0.009)
¿ 0.164 ( s+0.2)(s+0.32)
s2 ( s+0.25 ) ( s0.009 ) +0.164 (s +0.2)(s +0.32)
The MATLAB code for drawing the pole zero plot for stability of the system
>>num= [ 0.164 0.02 0.01 ]
>>den= [ 1 0.2410.166 0.20 0.01 ]
>>sys=tf (num, den);
>>pzmap (sys)
Consider the pole-zero plot
(b) Is this system stable?
Document Page
Observe from the pole-zero maps that some poles of the closed loop transfer function is on the
right half of the s-plane
Hence the system is unstable
(b) The function of the open loop transfer is
G ( s )= 0.164 s2 +0.02 s2 +0.01
s4 +0.2341 s30.00225 s2
Writing the MATLAB code to draw root locus
>>number= [ 0.164 0.02 0.01 ]
>>den= [ 1 0.2410.00225 0 0 ]
>>sys=tf (num, den);
tabler-icon-diamond-filled.svg

Paraphrase This Document

Need a fresh take? Get an instant paraphrase of this document with our AI Paraphraser
Document Page
>>rlocus (sys)
(c) Is it possible to stabilize this system by changing the gain of the transfer function G(s)?
Consider the root locus plot below for reduced gain
Observe from the root locus the loop gain is lowered, the overshoot as well reduce stating the
system did not gain stability
The system hence cannot get stabilized
(c) To attain stability of the system, proportional feedback compensator should be given
The function of the closed loop transfer is
L ( s ) = T (s )
1+ KT ( s)
Document Page
¿
0.164 s2 +0.02 s+ 0.01
s4 + 0.214 s30.166 s2 +0.02 s +0.01
1+ K 0.164 s2+ 0.02 s+ 0.01
s4 + 0.214 s30.166 s2 +0.02 s +0.01
¿ 0.164 s2+0.02 s+0.01
s4 +0.214 s3 0.166 s2 +0.02 s+ 0.01+ K (0.164 s2 +0.02 s+0.01)
¿ 0.164 s2 +0.02 s+ 0.01
s4 +0.214 s3 ( 0.166+0.164 K ) s2 +0.02 ( 1+ K ) s+0.01(1+ K )
The characteristic equation is
s4 +0.214 s3 ( 0.166+ 0.164 K ) s2+ 0.02 ( 1+ K ) s+0.01 ( 1+K )=0
Through adjusting the value of K to the roots lies on negative real axis
The system gets stabilized through using proportional feedback controller even though not
derivative controller
Hence, it is not possible to stabilize the system with derivative controller
(d) The suitable feedback controller is proportional feedback controller
Hence the system is stabilized using proportional feedback compensator
(e) Write open loop transfer function of system
G ( s )= 0.164( s+ 0.2)(s +0.32)
s2 (s +0.25)( s0.009)
Calculating the feedback transfer function for the switch is closed
H(s) =1+Ks
Document Page
Calculate the closed loop transfer function for the switch is closed
T ( s )= G(s )
1+G(s) H ( s)
¿
0.164( s+ 0.2)(s +0.32)
s2 (s +0.25)( s0.009)
1+ [ 0.164 ( s +0.2 ) (s+ 0.32 )
s2 ( s+0.25 ) ( s0.009 ) ](1+Ks)
¿ 0.164( s+0.2)(s+0.32)
[ s2 ( s+0.25 ) ( s0.009 ) ] + ( 1+ Ks ) [ 0.164(s+ 0.2)(s+0.32) ]
¿ 0.164( s+ 0.2)(s+ 0.32)
s4 + ( 0.2410.164 K ) s3 ( 0.1660.02 K ) s2 + ( 0.02+0.01 K ) s +0.01
The function of loop transfer is
G ( s ) H ( s ) = 0.164 ( s+0.2)(s+0.32)(1+ Ks)
s2 ( s+0.25)(s0.009)
¿ 0.164 s30.144 s2+ 0.03 s+ 0.01
s4 +0.24130.00225 s2
Writing the MATLAB code for drawing the root locus
>>num= [0.1640.144 0.03 0.01 ]
>>den= [ 1 0.2410.00225 0 0 ]
>>sys=tf (num, den);
>>rlocus (sys)
Take into consideration of the root locus plot below for reduced gain
tabler-icon-diamond-filled.svg

Secure Best Marks with AI Grader

Need help grading? Try our AI Grader for instant feedback on your assignments.
Document Page
Consider for the figure when switch is closed extra derivative feedback compensator is included
to the feedback. It adds 90 phase lead to transfer function hence stability of the system is
attained through extra lead network
Document Page
References
Emovon, I., Norman, R.A. and Murphy, A.J., 2016. An integration of multi-criteria decision
making techniques with a delay time model for determination of inspection intervals for marine
machinery systems. Applied Ocean Research, 59, pp.65-82
Georgopoulou, C.A., Dimopoulos, G.G. and Kakalis, N.M., 2016. Modelling and simulation of a
marine propulsion power plant with seawater desulphurisation scrubber. Proceedings of the
Institution of Mechanical Engineers, Part M: Journal of Engineering for the Maritime
Environment, 230(2), pp.341-353
chevron_up_icon
1 out of 12
circle_padding
hide_on_mobile
zoom_out_icon
[object Object]

Your All-in-One AI-Powered Toolkit for Academic Success.

Available 24*7 on WhatsApp / Email

[object Object]