Overhead cranes are a vital part of many manufacturing plants. They
are versatile, provide high load capacity, and are relatively
inexpensive. They are not easy to automate, however, and their
swing dynamics requires a skilled operator for fast, precise
operation. The discussed project uses machine vision and PLC
control technology to continue the progress in this area made by
previous scholars. The vision system is used for detecting the
position of the hook from the top of the cable. It can also be used
for identifying the desired target position for the hook by
observing targets on the floor and on the objects to be hoisted.
The motion of the top of the cable must be controlled in three
directions, including height. The two horizontal motions are
particularly important for controlling the swing of the cable. The
command shaping algorithms have been used in the past for similar
applications and will again be used here. The improvement of the
machine vision system is a part of the project to automate an
overhead crane. The project's goal is to obtain reliable, real-time
coordinate information about the crane hook and its environment.
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