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Yaw Damper for a 747 Jet Transport
This case study demonstrates the tools for classical control design by stepping through the design of a yaw damper for a 747 jet transport aircraft.
The jet model during cruise flight at MACH = 0.8 and H = 40,000 ft. is
A = [-0.0558 -0.9968 0.0802 0.0415
0.5980 -0.1150 -0.0318 0
-3.0500 0.3880 -0.4650 0
0 0.0805 1.0000 0];
B = [ 0.0729 0.0000
-4.7500 0.00775
.15300 0.1430
0 0];
C = [0 1 0 0
0 0 0 1];
D = [0 0
0 0];
The following commands specify this state-space model as an LTI object and attach names to the states, inputs, and outputs.
states = {'beta' 'yaw' 'roll' 'phi'};
inputs = {'rudder' 'aileron'};
outputs = {'yaw' 'bank angle'};
sys = ss(A,B,C,D,'statename',states,...
'inputname',inputs,...
'outputname',outputs);
You can display the LTI model sys by typing sys. MATLAB responds with
a =
beta yaw roll phi
beta -0.0558 -0.9968 0.0802 0.0415
yaw 0.598 -0.115 -0.0318 0
roll -3.05 0.388 -0.465 0
phi 0 0.0805 1 0
b =
rudder aileron
beta 0.0729 0
yaw -4.75 0.00775
roll 0.153 0.143
phi 0 0
c =
beta yaw roll phi
yaw 0 1 0 0
bank angle 0 0 0 1
d =
rudder aileron
yaw 0 0
bank angle 0 0
Continuous-time model.
The model has two inputs and two outputs. The units are radians for beta (sideslip angle) and phi (bank angle) and radians/sec for yaw (yaw rate) and roll (roll rate). The rudder and aileron deflections are in radians as well.
Compute the open-loop eigenvalues and plot them in the
-plane.
damp(sys)
Eigenvalue Damping Freq. (rad/s)
-7.28e-003 1.00e+000 7.28e-003
-5.63e-001 1.00e+000 5.63e-001
-3.29e-002 + 9.47e-001i 3.48e-002 9.47e-001
-3.29e-002 - 9.47e-001i 3.48e-002 9.47e-001
pzmap(sys)
This model has one pair of lightly damped poles. They correspond to what is called the "Dutch roll mode."
Suppose you want to design a compensator that increases the damping of these poles, so that the resulting complex poles have a damping ratio
with natural frequency
rad/sec. You can do this using the Control System toolbox analysis tools.
| Design Case Studies | Open-Loop Analysis | ![]() |