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ECE311-DynamicSystemsandControlLinearizationof
ECE311 - Dynamic Systems and Control Linearization of Nonlinear Systems
Objective
This handout explains the procedure to linearize a nonlinear system around an equilibrium point. An example illustrates the technique.
1 State-Variable Form and Equilibrium Points
A system is said to be in state-variable form if its mathematircal model is described by a system of n ?rst-order di?erential equations and an algebraic output equation:
x˙ 1 = f1(x1, . . . , xn, u) x˙ 2 = f2(x1, . . . , xn, u) ··· x˙ n = fn(x1, . . . , xn, u) y = h(x1, . . . , xn, u).
(1)
The column vector x = [x1, . . . , xn]? is called the state of the system. The scalars u and y are called the control input and the system output, respectively. Denoting
?? f1(x1, . . . , xn, u)
f
(x,
u)
=
? ?
f2(x1,
?
?
?
.
.. ...
,
xn,
u)?? ?
?
?
,
??
fn(x1, . . . , xn, u)
we concisely rewrite (1) as
x˙ = f (x, u) y = h(x, u).
(2)
When f and h are nonlinear functions of x and u, then we say that the system is nonlinear. In this
course we will work exclusively with linear systems, i.e., systems for which (2) becomes
x˙ = Ax + Bu y = Cx + Du,
(3)
Last revised: January 20, 2007
1
ECE311-Dynamic Systems and Control
1 State-Variable Form and Equilibrium Points
where A is n×n, B is n×1, C is 1×n, and D is a scalar. Sometimes, physical systems are described by nonlinear models such as (2), and the tools we will learn in this course can not be employed to design controllers. However, if a nonlinear system operates around an equilibrium point, i.e., around a con?guration where the system is at rest, then it is possible to study the behavior of the system in a neighborhood of such point.
Example 1 (A simple pendulum). Consider the dynamics of the pendulum depicted below, where u denotes an input torque provided by a DC motor.
u
θ l
Mg
The equation of motion for this system is
I
d2θ dt2
+
M gl
sin
θ
=
u
y = θ,
(4)
where I is the moment of inertia of the pendulum around the pivot point, and y is the output
of the system, i.e., the va
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