10-05-2012, 02:49 PM
Speed Control of DC Motor by Fuzzy Controller
Speed Control of DC Motor by Fuzzy Controller (1).pdf (Size: 339 KB / Downloads: 221)
INTRODUCTION
Classic Control has proven for a long
time to be good enough to handle
control tasks on system control,
however his implementation relies on
an exact mathematical model of the
plan to be controller and not simple
mathematical operations. The fuzzy
logic, unlike conventional logic system,
is able to model inaccurate or imprecise
models.
SYSTEM DESCRIPTION
Motor Model
The resistance of the field winding and
its inductance of the motor used in this
study are represented by Rf and La
respectively in dynamic model.
Armature reactions effects are ignored
in the description of the motor. This
negligence is justifiable to minimize the
effects of armature reaction since the
motor used has either interpoles or
compensating winding.
Fuzzy Logic Controller (FLC) Description and Design
The fuzzy logic foundation is based on
the simulation of people's opinions and
perceptions to control any system. One
of the methods to simplify complex
systems is to tolerate to imprecision,
vagueness and uncertainty up to some
extent [4]. An expert operator develops
flexible control mechanism using words
like "suitable, not very suitable, high,
little high, much and far too much" that
are frequently used words in people's
life. Fuzzy logic control is constructed
on these logical relationships. Fuzzy
Sets Theory is first introduced in 1965
by Zadeh to express and process fuzzy
knowledge
CONCLUSIONS
The results of experiment on the real
plant demonstrate that the proposed
fuzzy logic controller is able to
sensitiveness to variation of the
reference speed attention. The results
of the control are as follows.