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Material Type: Assignment; Class: Flight Dynamics And Control; Subject: AAE-Aero & Astro Engineering; University: Purdue University - Main Campus; Term: Spring 2011;
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February 25, 2011
Due: Friday, March 4
Exercise 1 Consider an input-output system with input u and output y described by
2¨p − e
θ (^) ¨ θ + θ
θ
2 = u
−(1 + θ
2 )¨p +
θ − sin θ = u
y = θ + (1 + θ) cos(u)
(a) Linearize this system about equilibrium conditions corresponding to u
e = 0 and p
e = θ
(b) Obtain the A, B, C, D matrices for a state space representation of the linearization found
in part (a).
Exercise 2 Consider the nonlinear input-output system described by
x˙ 1 = − 2 x 2 + x 1 − sin x 1 + u 1
x ˙ 2
= −x 1
− 2 x 2
− sin x 2
y 1 = x 1 + sin x 2
y 2
= x 2
Using the trim command in MATLAB, determine the trim values of u 2
and y 2
so that this
system has a trim condition with u 1 = 1 and y 1 = 1.
Exercise 3 (a) Obtain a SIMULINK model of the Cessna 182 with state variables V, α, θ, q,
input variables el, th and output variables V, γ.
(b) Using the trim command determine the constant value of el which results in horizontal
steady state flight with th = 100 hp.
(c) Obtain the matrices A, B, C, D in a state space representation of the linearization of the
system about the trim conditions found in part (b).
(f) Compare the behavior of the nonlinear and the linearized models. Simulate both models in
MATLAB and compare the responses of δV and δγ for initial conditions close to equilibrium
and not so close to equilibrium.
Exercise 4 Show that the transfer function of
x˙ 1
= x 2
x ˙ 2
= −α 0
x 1
− α 1
x 2
y = β 0
x 1
x 2
is given by
G(s) =
β 1
s + β 0
s
2
s + α 0
Exercise 5 Show that the transfer function of
x˙ 1
= −α 0
x 2
u
x ˙ 2
= x 1
−α 1
x 2
u
y = x 2
is given by
G(s) =
β 1
s + β 0
s
2
s + α 0
Exercise 6 Obtain the transfer function of the following system:
x˙ 1 = −x 1 + x 2
x ˙ 2
= x 2
x ˙ 3 = u
y = x 1
What are the poles and zeros of this transfer function?
Exercise 7 (BB in Laundromat.) Consider
m
φ 1
− mΩ
2
φ 1
k
2
(φ 1
− φ 2
) = u
m
φ 2 − mΩ
2
φ 2 −
k
2
(φ 1 − φ 2 ) = 0
y = φ 2
Obtain the system transfer function.