z m
CONTROL OF YAW AND ROLI1SM*,ABILIZATION SYSTEM
by Claes G. Käliström
Swedish Maritime Research Centre, SSPA ABSTRACT
I Different discrete time regulators for control of a ship's yaw and roll motions are designed using linear quadratic control theory. A simulation study to investigate the performances of the different regulators is presented. A ro-ro shïp equipped with two active sta-bilizing fins sailing in irregular beam seas is used as test ship in the simulation study.
1. INTRODUCTION
Traditionally course-keeping and roll stabilization of ships are treated as two separate control problems. Since both yaw and roll mo-tions are induced by deflecmo-tions of rudder as well as stabilizing fins, it is, however, important to consider the interactions when designing the regulators. This can be done in different ways. Regulators based on dc-coupling of the yaw-roll motions were discussed in references
(1) and (2). Linear quadratic control theory was employed in (3) to design continuous time regulators.
Efforts to design regulators for reducing the roll by the rudder only have also been made. See references (4) , (5) , (6) , (7) and (8). The key problem using this approach is, of course, that two outputs, yaw and roll, have to be controlled by one input. An aütoilòt for
course-keeping, where not only the yaw motion was considered but also the roll motion, was discussed in (9).
In this paper different discrete time regulators for a ro-ro ship are designed based on linear quadratic control theory. This theory is described in several text books, for example reference (10). A loss
function approximately describing the rate of fuel consumption is used as a criterion for the design of an ordinary course-keeping autopilot. This loss function is based
on a.
linear combination of squared heading and rudder angles. The autopilot is then modified bysing a criterion, where not only heading and rudder angles are pena-lized but also roll motions. A regulator fo reduction of roll by an
ctive fin-stabilization system is also designed without considering he yaw-roll interactions. Finally, an optima]. multivariable con-roller for a rud1er/fin-stahjljzatjon system is described, where fuel onsumption as well as roll motions are minimized. The
performances
f the different regulators are compared in a simulation study. A re-atively complex non-linear mathematical model of a ro-ro ship sail-ng in irregular beam seas is used in the simulations.Ï
The paper is organized as follows. The test ship is described in action 2 and the mathematical simulation model is summarized
in
Sec-ion 3. The performance criteria and the design of the different re-ulators are discussed Section 4. The simulation results are given in:Se&tion 5 and the major conclusions to be drawn can be found in Sec-!tion 6. An appendix with the detailed simulation model is also given.
2. TEST SHIP
A single screw/single rudder ro-ro ship was selected for the si-mulation study. The bow and stern draught is 11.0 in and the displace-!mentis 52 010 in3. The metacentric height H iz 0.45 in. The ship
particulars are surnma.rized in Table 1.
Table 1. Particulars of Test Ship
Propulsion and Rudder
A diesel engine of 13 000 HP delivers the propulsion power. The ship is fitted with a four-blade propeller with a diameter of 6.3 in. The rudder is of "Mariner" type with a total area of 35.8 in2. Th
ropeller and rudder data are given in.Table 1. ctive Fins
The test ship has no roll stabilization system. Hoiever, in the irnulation model the ship is fitted with two active fins. See Fig. 1. ach fin has an area of 25.0 in2 and the aspect ratio is 1.0. The ac-ive fins are placed 50 in aft of L/2.
HULL DATA Length between perpendiculars (L) Beam Drauçht, bow Draught, stern Displacement (Sl) 173.2 in 32.3 in
11.0
in 11.0 in 52 010 rn3 0.45 in Metacentric height () PROPELLER DATA Propeller diameter (D) Pitch ratio (P/D) Number of blades 6.3 in 0.715 4 RUDDER DATA Total rudder areaAspect ratio
35.8 in2
Ptnci! ¡n ta:
Figure 1. Active Fins Designed for the Test Ship. 3. MATHEMATICAL MODEL
The simulation model, which describes the surge, sway, yaw and roll motions of a ship sailing in waves, is briefly outlined in this Section. The complete simulation model is given in the appendix, where parameter values for the test ship are also summarized. The numerical values have been obtained from captive scale model tests and theoretical estimations. Another alternative of determining the parameters for a specific ship is the application of system identifi-cation to full-scale experiments or free-sailing scale model tests. See references (11), (12), (13) , (14) and (15).
The structure of the basic mathematical model was given by Norr-bin (16) and further developed by Norrhin ('17)
. The mathematical
rodel, excluding
the roll
equation, has been used in many simulation tudies, for example in (14) and (18).quations of Motion
The equations of motion are conveniently expressed using a co-rdinate system fixed to the ship. The origin is placed in the free iater surface plane half-way between the perpendiculars and in the
entre-Une of the ship.
The variables used to describe the surge, sway, yaw and roll mo--ions are explained in Fig. 2.
The projections of the total ship peed V on the x- and y-axes arc the surge velocity u and the sway
veiocity y.
The yaw rate is denoted r and the heading and rudder
angles are denoted 4 and S.
The roll motion is characterized by the
roll angle
and the roll rate p. The angle a of the active fins is
defined positive when a negative roll moment is induced.
Figure 2.
Variables Used to Describe the Surge,
Sway, Yaw and Roll Motions of a Ship.
The equations of motion are obtained from Newtonts laws
express-ing conservation of linear and angular momentum:
m(û - vr
- xGr
.+ zGLp) 1.pn
X + T(1-t )
+ X + Xi-x
F wp
Rm(r+ur+xG_zGf)
= Y+Y +Y i-Y
R F wI
ZZ?-i ,+mx (+ur)
ZX= N+N +N +N
G R R wI
p - I
i
- mz (r + ur) + mgsin
K + KR + K
+ K
Ixx
zx
G F w(3.1)
where Xand Y are the components of the hydrodynarnic forces
on the
x-axis and y-axis, N and K are the z-cornponent and
x-cornponent of the
hydrodynarnic moments, m is the mass of the ship,
Izz and I
are
mo-ments of inertia,
is a product of inertia, and
xG and ZG are x
and z co-ordinates of the centre of gravity.
Note that the y
co-ordinate of the centre of gravity is equal
to zero, because the
=
(-
5 +&
=
(-ct+ct)/TF
ordinate origin has been set in the centre-line of the ship.
The
pro-peller thrust is denoted T and the thrust deduction factor tp.
XR,XF and X
are forces in the x-direction from rudder, active fins and
waves, respectively.
The added forces and moments of the other
equa-tions of (3.1) are defined analogously.
;Propeller Thrust
The propeller thrust is computed as
where p is the water density, D is the propeller diameter and n is the
propeller rate of revolution.
The propeller is characterized by
a
polynomial expression for KT, which is given in the
appendix.
A
con-stant propellr rate of revolution n equal
to 1.93 1/s (116 rpm) is
assumed in the simulations.
This propeller rate corresponds to
a
nominal ship speed of 7.7 rn/s (15 knots).
Rudder and Active Fin Forces
The lift forces from the rudder and
-one of the active fins are
obtained as:
=
(k1u2 + k2T) (1
+ s2) 5
(3.3)
=
k3u2(1 + s2ct2)a
Note that
F =
2-sin y-F, where y is the angle between
the fin axis
and the free water surface plane (cf. Fig.
1).
The details of (3.3)
and the other forces and moments from rudder
and active fins are given
in the appendix.
First-order models describing the rudder
and active fin dynamics
are included in the simulation model:
where
and
c are the commanded angles and TR and TF are the time
constants.
Both rudder and fin rates of (3.4) are limited as well as
the maximum rudder and fin angles.
iave Forces
The forces and moments from
beam seas acting on the ship
are
pproxirrì'ated by:
(3.4)
= pDkn2
(3.2)
'Yw = In . 5(t)
K = mL a S(t)
w
whére (t) is the z co-ordinate of the sea level at origin and 5(t) is the wave slope.
A Pierson-Moskowitz wave spectrum given by (see ref. (19))
A
eBh'
-is simulated by feeding a white no-ise signal into a filter. A signi-ficant wave height of 7 m and a mean wave period of 9.4 s are chosen in the simulations. This corresponds to A = 0.78 and B = 0.063 in
(3.6). A rational spectrum
b2
22
i3) =
+ (a12-2a2)w + (a22_2a1a3)uj2 + a32
with ai = 0.5, a = 0.33, a3 = 0.07 and b2 = 0.415 is used as an ap-proximation of (3.6) for the chosen sea state. The spectra (3.6) and
(3.7) are illustrated in Fig. 3.
lo (m2s) 8 6 4 2 Pc;ci! in
!!i1;t'r
(3.6 (3.7) 0 0.4 0.8 1.2 1.6co(rad/s)
igure 3. The Rational Spectrum (3.71
(continuous line) and the
Pierson-Iosko.jt Spectrum (3.6) (dashed line) for a Signi-ficant Wave Height of 7 in and a Mean Wave Period of 9.4 s.
;Gs(s) =
where c = -The two tions by the
rA stochastic process
output from the filter
G(s)
=when the input the wave slope
= --w)
IS
given analogously by s3 + a1s2 + a2s + a3 c b2 S s3 + a1s2 + a2s + a30.065 for the chosen sea stafe.
filters (3.8) and (3.9) are represented in the simula-differential equation system:
b2s
I-with spectral density (3.7)
is white noise (see ref. (20)). An approximation spec trum ?erc n :ç r,..r is obtained as (3.8) of (3.10)
where e is a discrete time white noise signal with zero mean and standard deviation 2.22. A time step of 0.5 s was used. Realiza-tions of the wave level and the wave slope S are shown in Fig. 4. These realizations are used in all the simulations.
(3.9) *1 X 2 X3 -j
s
-a1 i O -a2 O i -a3 0 0[1
o o [_aic: c oI
r
xl X2 X3 Xi
X2 X3 + O b2 O eto.
-Ia.
-0.4
o.
0.4
t!AVE LEVEL (ti) VERSUS TIME Cs)
WAVE SLOPE C-) VERSUS TillE CS)
0.
Figure 4. Realizations of wave level and wave slope S. DESIGN OF REGULATORS
The regulator design is based on linear quadratic control theory (see ref. (10)). The design is carried out efficiently by use of the nteractive computer program SYNPAC, ref. (21).
A preliminary investigation showed that a sampling interval of 1-5 s was appropriate. It was decided to use the interval 2 s in all
he simulations. inearjzed Models
The following linearized state space model is th basis for the esign: -'i Pcnr.i1 ¡: l!cr ' 0. 100. 200.
300.
400.
itab.
20b.303.
«b.
-0.019 -3.1 ir -0.0012 -0.087 = 0.00066 -0.14 o o o 0 0 1 0 0 + p-0.044 0.015 -0.0018 -0.00026 -0.0017 -0.0040 0 O O -0.018 -0.022 1 0 Performance Criteria
A simple criterion for steady state course-keeping has been pro-posed by Koyama (22) and Norrbin (23):
co f(p2 +
62) dt
(4.4) ô 1--
Or
KIT + i i O O C P C + [ -0.0040 O a C 11) + (4.1)where the equations of surge, rudder and fin motions have been exclud-ed and the linearization is performexclud-ed around u = 7.7 rn/s,
iv-r-p- i
-4)-
iS- a= 0.
If the roll motion is neglected in equation (4.1), an analysis shows that the time constants of the y and r equations are Ti = 8 s,
T2 -50 s and T3 = 22 s. Thus, the steering equations have a very unstable mode. Nomoto's steering model:
(4.2)
where T = T1 + T2 - T3 = -64 s and K = 0.040 l/s, is used for the de-sign of a simple yaw regulator.
If the couplings of y and r into the roll equations of (4.1) are neglected, the ship's natural period of roll is then calculated to 42 s and the damping coefficient to 0.061. The disign of a simple roll controller is based on the model:
(4.3)
icI in îj3
n'.);
0.069 0 0.031 V
0.00055 0 -0.000031 r
It was verified in reference (24) by full-scale experiments that the criterion (4.4) with an appropriate value of A gave a good descrip-tion of the rate of fuèl consumpdescrip-tion in weather condidescrip-tions varying be-tween light and fresh breeze. In hard weather the criterion (4.4) has not been verified. Based on formulas in reference (23) the value of
was calculated to 0.17 for the test ship. A corresponding value
for the active fin deflections was also calculated: A = 0.24.
A suitable criterion for the design of roll regulators is:
=
5(Ap2
+Regulator 2
A yaw and roll controller, where the rudder only is used, is de-signed based on the criterion:
J
¡(Ap2 +
+Ac2
+ A 2) dt(4.7)
ôc
+ 6a2)
dt (4.5)where A0 and A should be chosen in such away that a good roll
ré-ductionis obthned.
A few preliminary simulations resulted in the following values: Ap = 55 s2 and Xc,0.5.
The values can pro5ably be improved by a mo5e comprehensive simulation study.Regulator 1
A simple yaw controller is designed.based on Nomoto's model (4.2) and the criterion (4.4):
and a combination of the models (4.1) and (4.2):
=
- 27r - 5.O.p - 2.34 - 1.44
Regulator 3
This regulator consists of one rudder/heading loop and one fin/roll loop. The yaw-roll interactions are not considered. The yaw controller is the same as (4.6) and the roll controller is de-signed using the model (4.3) and the criterion (4.5):
(4.8) Pcrtni! i rçe n'..:;::
o
Note that the roil rate gain is the important factor and that the roll gain is almost negligible.
= - 112r - 2.3 (4.6)
a = - 13.p + 0.10
L!
ERegulator 4
A true rnultivariable controller is designed based
on a
combina-:ti0n1 of the models (4.1) and (4.2), and the criterion:
'The following controller was obtained:
= - 26r
-
2.8.p
- 2.4q, - 0.87.q
=5.O.r - l3p + 0.0204
- 0.21.
:The reason for excluding the
sway velocity V is simply that it is
usually difficult to obtain reliable
measurements of y.
.5. RESULTS OF SIMULATIONS
The simulations were carried
out efficiently by use of the
inter-active simulation
program SIÎ4NON, reference (25).
The results of the
simulations are shown in Figs. 5-8.
A summary of root-mean-square
(rrns) values and maximum
values are given in Table
2,where the
steer-ing loss function J
(eqn.
(4.4)) is also tabulated.
Note that the
maximum rudder and fin angles
were limited to 200. in all the
simula-fions.
Table 2.
Simulation Results
J =
f(Xp2 + *2 + A2
+óc
2+ A a
2)dt
1/ ;U(I¡fl fl1T))I _L':_______(4.10)
(4.11)
Regulator
rrns (6)
deg
rms (a)
deg
rms
(ip)deg
maxdeg
rms ()
deg
maxdeg
(deg)2
'18.84
-
0.50
1.29
5.32 16.38 13.53 27.87
-
1.14
2.71
4.86
14.93
11.81
38.78
12.120.48
1.32
4.86
14.5813.34
44.22
12.28
0.87
1.93
4.70
13.37
3.79
-2
RJDDR ANCLE (DEG) VERSUS TillE CS)
HEADfl'G ANCLE COEG) VRtJ IThE CS)
tob.
ROLL ANtLE (DEG) VESUS TIIE CS)
20b.
Figure 5.
Regulatcr i
- Simulation Results.
RUDDER ANGLE (DEG) VERSUS TIIE CS)
AD.INC tGLE CDD) VERSUS TI CS)
ROLL AWSLE CD) VERSUS TINE CS)
Figure 6. Regulator 2 - Simulation Results.
0.
RUDDER ANGLE (PEG) VERSUS TINE (S)
FIN ANGLE (PEG) VERSUS TINE (S)
L-EADING AWGLE CDE.) VERSUS TIRE CS)
-2.
0. tOO. 2Db.
ROLL ANGLE (LEG) VIEZstJS TINE (S)
20.
:.;.
sob.
4Db.-20.
O. 100. 200. GOD.
«'o.
20.
0.
RU!)DER ANGL! CDEG) VERSUS TINE CS)
FIN ANGLE CP3) VERSUS TI!1 (S)
PS
Pci)'It in p.:j iUar
2.0.
IEADIN AtLE (DZG) VEISUS TIEE CS)
2.1
i
r
too.
200.sob.
ROLL qLE CD) VERSUS TI
CS)100.
í'
[\_fl. V1
!\iFigure 8. Regulator 4 - Simulation Results.
-ob.
sob.
400.20.
-
R;ci! n
tmbr
By comparing the simple course-keeping regulator 1 with regula-tor 2 (yaw/roll-control by rudder), it is concluded that the rms of roll is reduced by 8.6 % and the maximum roll angle by 8.9 %. Thus, roll stabilization by rudder is a reasonable concept for the test ship. Also note that the J is decreased for regulator 2. This re-sult indicates that the roll motion should be considered in all auto-pilot designs for ships (cf. ref. (9)).Traditional yaw/roll-control by rudder/fins (regulator 3), with-Out considering the yaw/roll-interactions, irnpizpved the roll perfor-mance approximately as much as regulator 2 did. However, it should be noted that the value of J is larger for regulator 3 than for re-gulator 2 because of the induced resistance of the active fins.
Regulator 4, the true multivariable controller, reduced the rms of roll by 11.7 % and the maximum roll by 18.4% compared to regula-tor 1. The improvements compared to regulator 3 were 3.3 % and 8.3 %, respectively. Note the extremely low value of J obtained for regu-lator 4.
6. CONCLUSIONS
A relatively complex non-linear mathematical model for a ship moving in irregular seas has been presentd. An approach to simulate
continuous wave spectra by feeding white noise into a filter was given.
Different discrete time yaw/roll-regulators were designed using linear quadratic control theory. These were investigated by simula-tions, where aro-ro ship was sailing in irregular beam seas of a significant wave height of 7 m. It was concluded:
o A true multivariable rudder/fin-controller improved both roll
and steering performances significantly.
o Some, not insignificant, improvements o both roll and steering
behaviour were obtained with a system for yaw/roll-control by the rudder.
However, not many simulations of this type have been carried out up to now, so the simulation results must be considered as preliminary.
Future work should include a feasibility study of applying ad--vanced filtering techniques, for example 1alman filtering, and adapt-ive control techniques for the combined yaw/roll-control problem. adaptive autopilots for yaw-control only and Kalinan filters
were
de-signed in references (14) and (2G) . Kaimari and adaptive filtérs have
also been designed for wave filtering in connection with dynamic po-sitioning systems (references (27) and (28))
REFERENCES
I;ì ri i!i;1r
J. B. Caney, A. Duberley, "Design considerations for optimum ship motion control", 3rd Ship Control Systems Symposium, Bath, England, 1972, Proceedings Vol. 2, Paper No VI C-1, 19 p.
R. A. Savill, M. G. Waugh, and I. N. Britten,
"Micro-computer implementation of a de-coupling
pre-compensator for ship steering-stabilization interaction", Symposium on Ship Steering Automatic Control, Genova,
Italy 1980, Proceedings, pp. 377-382.
P. H. Whyte, "A note on the application of modern con-trol theory to ship roll stabilization", 18th General Meeting of the American Towing Tank Conference,
Annapolis, Md, Proceedings, Vol. 2, pp. 517-532.
W. E. Cowley, T. FI. Lambert, "The use of the rudder, as a roll stabiliser", 3rd Ship Control Systems Symposium, Bath, England, 1972, Proceedings Vol. 2, Paper No VII C-1, 25 p.
F. F. van Gunsteren, "Analysis of roll stabilizer performance", International Shipbuilding Progress
21(1974):237, May, pp. 125-246.
W. E. Cowley, T. H. Lambert, "Sea trials on a roll sta-biliser using the ship's rudder", 4th Ship Control
Systems Symposium, the Hague, the Netherlands 1975, Pro-ceedings Vol. 2, pp. 195-213.
J. B. Caney, "Feasibility study of steering and
sta-bilising by rudder", 4th Ship Control Systems Symposium, the Hague, the Netherlands 1975, PrQceedings Vol. 2, pp. 172-194.
A. R. J. M. Lloyd, "Roll stabilisation by rudder", 4th Ship Control Systems Symposium, the Hague, the Netherlands 1975, Proceedings Vol. 2, pp. 214-242.. K. Ohtsu, M. Ilonigome, and G. Kitagawa, "A new ship's auto pilot design through a stochastic model",
Automatica 15(1979), pp. 255-268.
(lo) B. D. O. Anderson, J. B. Moore, 'Linear Optimal Control?,
Prentice-Hall, Englewood ClifiJs, New Jersey, USA 1971, 399 p.
(li) K. J. Aströrn, C. G. Käliströrn, "Identification
of ship steering dynamics", Automatica 12(1976), pp. 9-22. (12) K. J. Asträm, C. G. Käliström, N. H. Norrbin,
and
'L. Byström, "The identification of linear ship steering dynamics using maximum likelihood parameter estimation", SSPA, Göteborg, Sweden, Publication No 75, 1975, 105
p.
. I
C TI
i'L.j.r
L. Byström, C. G. Kllström, "System identification of
linear and non-linear ship steering dynamics", 5th Ship
Control Systems Symposium, Annapolis, Maryland, USA
1978, Proceedings Vol. 3, 21
p.
C. G. Kllström, "Identification and adaptive control
applied to ship steering", Department of Automatic
Control, Lund Institute of Technology, Lund,
Sweden,
CODEN: LTJTFD2/(TFRT-1O18)/1-192/(1979)
C. G. Käliströrn, K. J. Aström, "Experiences
of system
identification applied to ship steering",
Automatica
17(1981):1,
p. 187-198.
N. H. Norrbin, "Theory and observations
on the use of a
mathematical model for ship Inanoeuvring
in deep and
con-fined waters", SSPA, Göteborg, Sweden, Publication No 68,
1971, 117 p.
N. H. Norrbin, "A method for the prediction
of the
lnanoeuvring lane of a ship in a channel of varying
width",
Symposium on Aspects of Navigability
of Constraint
Water--
ways, Including Harbour Entrances, Deift, the
Nether-lands 1978, Proceedings Vol. 3, Paper 22, 16 p.
N. H. Norrbin, S. Göransson, R. J.
Risberg, and D. H.
George, "A study of the safety of two-way traffic in a
Panama canal bend", 5th Ship Control
Systems Symposium,
Annapolis, Maryland, USA 1978, Vol.
.3, 34 p.
W. G. Price, R. E. D. Bishop, "Probabilistic
Theory of
Ship Dynamics", Chapman and Hall,
London 1974, 318 p.
K. J. Aström, "Introduction to Stochastic
Control Theory",
Academic Press, New York and London,
1970, 299 p.
J. Wieslander, "Synpac commands
- User's guide",
Depart-ment of Automatic Control, Lund Institute
of Technology,
Lund, Sweden, CODEN: LUTFD2/ (TFRT-3159)
/1-1301 (1980).
T. Koyama, "On the optimum
automatic steering system of
ships at sea", Selected Papers
from Joui-n. Society of
Naval Arch. of Japan, Vol. 4(1970),
pp. 142-156.
N. H. Norrbin, "On the added
resistance due to steering
on a straight course", 13th mt. Towing
Tank Conference
Berlin/Hamburg 1972, Vol. 1, pp. 382-408.
C. G. Källströin, N. H. Norrbin, "Performance criteria
for ship autopilots", Symposium on Ship Steering
Auto-matic Control, Genova, Italy 1980, Proceedings, pp. 23-40.
H. Elmqvist, "SIMNON
- An interactive simulation program
for nonlinear systems - User's manual", Department of
Automatic Control, Lund Institute
of Technology, Lund,
Sweden 1975, Report 7502.
-,
¡
_/
C. G. Källström, K. J. Aströrn, N. E. Thorell, J. Eriksson, and L. Sten, "Adaptive autopilots for tankers", Automatica 15(1979):3, pp. 241-254.
J. G. Baichen, N. A. Jenssen, and S. Salid, "Dynamic positioning using Kalman filtering and optimal control theory", Symposium on Automation in Offshore Oil Field Operation, Berqen, Norway 1976, Proceedings, pp. 183-188. N. A. Jenssen, "Estimation and control-in dynamic
posi-tioning of vessels", The Norwegian Institute of Technology, Division öf Engineering Cybernetics, Trondheim, Norway
APPENDIX - SIMULATION MODEL
The simulations are based on the following mathematical model 'describing the surge, sway, yaw and roll motions of a ship moving in
waves: -V x"-N
Gv
L(z+K'.')
y" L uv N" Luv
K" L Uy.rL3
JC- f(v,r) L ICL
'K"
L 2
--(mL) L (x-Y') L( (k) 2-Ni)-L(I" +K)
zx r Y" -1 ur -N" x" ur G K" +z" ur G sinq +The model is normalized using the 'bis'
system (Norrbin (16)). The propeller thrust is computed as:
'T/m =
KTDn/
whereC1 + cJ
+ c3(P/D) + c4J2 + c5(P/D)6-L(z+Y)
-L(I" +N) zx p L((k) 2-Kr) Y', up N" up K" up i À12 À21 '22 r p uy ur up + i(l-X)ú u =L2 uu
X" u2 + 2 X"uvvuy2 + L(x"+X" )r2 + (l+X")vrG zrLzpr + (T/m)(l-t)
+ XRÔ(Y /m)S RX"'2.(F/m)a + X/m
Fa + YR/rn2F/m
o (-6+6 )/T
C
R'
a = (_a+a)/TF
and the propeller advance coeff. ient u(l-w)
nD
The nonlinear functions fy(v,r) and fN(v,r) have been
derived by Norrbin (17). They are reprinted in Käliström (14).
The lift forces from the rudder and one of the stabilizing fins are computed as:
YR/rn =
L2 uu6
y" u2 + Y0(T/rn))(1+s162)dF/rn =
F"u2j
(l+s2a2)aThe rudder ani fin angles are governed by first order differen-tial equations:
6.
1 im . s a Lun , Oum
uìrnwhere O and a are the commanded angles.
-C.
-The heading angle and roll angle.q
are obtained as:
In beam seas the wave forces can be approximated by:
X/m
Y/m
= a1.S(t).7 (mL) (t)
K/(mL) = a3.S(t)
ihere (t) is the z
co-ordinate of the sea level at origin and S(t) is
he wave slope.
The
follo'7i1g
parameter values for the test ship are used in the ;irnulatjon study:
= length between perpendiculars = 173.2 m V displacement = 52 010 in3
in mass = 53.3.106 kg
'g
= acceleration of gravity = 9.81 rn/s2= normalized x co-ordinate of centre of gravity = 0.018 = normalized z co-ordinate of centre of gravity = -0.015 k" = normalized radius of gyration around xaxis = 0.074
= normalized radius of gyration around z-axis = 0.25 = normalized product of inertia = O
= metacentrjc height = 0.45 in D = propeller diameter = 6.3 in P/D = propeller pitch ratio = 0.715 n propeller rate = 1.93 1/s X = -0.060 . X -0.032 .1 = 0.00040 2 uvv X"
=0
rr = 0.15thrust deduction factor = 0.19 -0.40 X = -0.67 Y.& = -0.73
=0
uy Y't = .010 N'J = -0.040 r=0
Pt.ii;U ¡u íief ,22
N'.' p
=0.
N" uy = -0.50 ur = -0.19 up 0.0014 = 0.017 p = -0.0012 K" uy = 0.018 = -0.0051 = -0.0027 = 0.0011 = -0.78 = 0.22= 12 = 0.39 121 = -0.48 122 = 131 = -0.031 32 = -0.12 = -0.020 = -0.37 3 0.52 4 = -0.063 = -0.0016 = wake fraction = 0.27 uó = 0.14 'II = 0.95 T6 i = -0.45 F = 0.057 = 1.6 2
R = time Constant of rudder = 0.5 s
= rudder rate limit = 0.077 rad/s (= 4.4 deg/s) lim
= rudder angle limit = 0.35 rad (= 20 deg) = time Constant of fin = 0.4 s
um
= fin rate limit = 0.14 rad/s (= 8.0 deg/s) 11m fin angle limit 0.35 rad (= 20 deg)i = 27 in/s2 Assumptions:
2 = -0.017 1/s2 u 7.7 rn/s (15 knots) ,
3 = 0.23 in/s2 J beam sea on port side