Dynamic Performance of a SCARA Robot Manipulator With ...
Dynamic Performance of a SCARA Robot Manipulator With ...
Dynamic Performance of a SCARA Robot Manipulator With ...
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IEEE TRANSACTIONS ON ROBOTICS, VOL. 25, NO. 1, FEBRUARY 2009 209<br />
Fig. 2.<br />
Simulation results for all four joints <strong>of</strong> a <strong>SCARA</strong> robot with variation in the first two link masses and the payload.<br />
TABLE III<br />
MAXIMUM ABSOLUTE DIFFERENCE BETWEEN PCT<br />
AND MC FOR <strong>SCARA</strong> ROBOT<br />
6) PCT has no problem with both underdamped and overdamped<br />
type responses.<br />
Additionally, this example also corroborates several <strong>of</strong> the known<br />
advantages regarding the use <strong>of</strong> PCT. Specifically, PCT is more efficient<br />
from a simulation time standpoint, allows dynamic changing <strong>of</strong><br />
parameters during the simulation, and yields a richer result that can be<br />
utilized in other applications like controller design.<br />
also opens the door for easy optimization <strong>of</strong> the controller gains for<br />
the small amount <strong>of</strong> variation. Sensitivity studies can quickly and<br />
effectively be performed for different controller gains.<br />
V. CONCLUSION<br />
This paper has shown in detail how to use PCT to analyze the<br />
dynamic response <strong>of</strong> an open-loop mechanism by applying it to a<br />
<strong>SCARA</strong> robot manipulator. Through this particular example, several<br />
items were found.<br />
1) PCT on the <strong>SCARA</strong> robot is feasible as long as the number <strong>of</strong><br />
unknowns are small. Automating the process further aiding in<br />
speeding up the process. However, this even has its limits as<br />
even the automated process is still cumbersome.<br />
2) Using PCT on robotic applications requires a judicious choice <strong>of</strong><br />
states and formulation <strong>of</strong> the problem to make sure that nonlinearities<br />
are not introduced into the equations.<br />
3) PCT on a <strong>SCARA</strong> robot gives consistent results to a large MC<br />
for a simple one-term expansion. This was true even using a<br />
standard approximation <strong>of</strong> the trigonometric identities.<br />
4) PCT exhibits “antinodes” (positions in the output where the<br />
variation decreases significantly), even in this robotics example.<br />
However, this was not noted on all joints.<br />
5) PCT can be utilized with feedback control. However, integral<br />
and nonlinear control poses some interesting problems that have<br />
yet to be solved.<br />
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