機密等級 : 想看就看,懶的理你
Consider the PID control system in Fig.1.
with the perturbation
denotes torque
constant. The plant (induction motor)
with the perturbation
, the tachometer
and the PID controller are of the following
form:
where is a conversion constant,
is inertia of the motor and load ,
is
viscous constant,
is constant and the
plant perturbation
and
are assumed to be stable but uncertain. Suppose
and
are bounded according to
,
where the function and positive constant
are stable and known.
The robust stability result in [] reveals that if a controller
is chosen so that the nominal closed
loop system (free of
) in Fig.1 is asymptotically
stable, and the following inequality holds,
then the closed loop system in Fig.1 is also asymptotically stable
under plant perturbation in ( ) , where
the
norm in ( ) is defined as
i.e., the maximum peak of the spectral density of .
However, often robust stability alone is not enough in control
system. Optimal tracking performance is also appealing in many
practical control engineering applications. Therefore, the mixed
control problem is formulated as follows:
for the nominal closed loop system in Fig.1 , subject to the robust
stability constraint ( ), where is the
tracking error and
is actuator signal.
That is, under the
constraint ( ), the
summation of error energy and the control energy in ( ) must be
as small as possible. from the above analysis, the PID mixed
control design problem involves how to specify a PID controller
to achieve the optimal tracking ( ) subject to the robust stability
constraint ( ).
In the case with uncertain disturbance
and measurement noise
(see Fig.1), if
the desired attenuation level
and
are specified, then
where and
are weighting functions.
By Parseval's theorem [ ], we have
where both and
for i=1,2 are Hurwitz polynomials of s with appropriate degree.
The minimization problem in the above equation can be solved
via the aid of the residue theorem. Let
and
;if
The value of can be found easily from
published tables[ }: