Underwater Robots - Gianluca Antonelli.pdf
Underwater Robots - Gianluca Antonelli.pdf
Underwater Robots - Gianluca Antonelli.pdf
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6.6 Fuzzy Inverse Kinematics 121<br />
It is easy to recognize that during the reconfiguration the proposed solution<br />
is more energy-consuming than the fixed-attitude solution; nevertheless,<br />
after the re-orientation has been achieved, the energy consumption required<br />
by the proposed technique is negligible. Therefore, the proposed solution becomes<br />
the more attractive the longer is the duration of the manipulation<br />
task.<br />
For the sake of argument, Table 6.1 reports the time integral of the 2norms<br />
of force and moment obtained inthe two simulations over a100 stask<br />
duration.<br />
Table 6.1. Time integral of the force and moment 2-norms: a) without reorientation;<br />
b) with re-orientation<br />
a b<br />
� � f � 2300 800<br />
� � m � 9500 5800<br />
6.6 Fuzzy Inverse Kinematics<br />
Because of the different inertia characteristics of the vehicle and of the manipulator,<br />
it would be preferable to perform fast motions ofsmall amplitude<br />
by means of the manipulator while leaving to the vehicle the execution of<br />
slow gross motions. This might beachieved by adopting the weighted pseu-<br />
− 1<br />
doinverse of Eq. (6.2) with the (6 + n ) × (6 + n )matrix W<br />
W − 1 � �<br />
(1 − β ) I 6 O 6 × n<br />
( β )=<br />
, (6.15)<br />
O n × 6 β I n<br />
where β is aweight factor belonging to the interval [0, 1] such that β =0<br />
corresponds to sole vehicle motion and β =1to sole manipulator motion.<br />
During the task execution, setting aconstant value of β would mean to fix<br />
the motion distribution between the vehicle and the manipulator. Nevertheless,<br />
the use of afixed weight factor inside the interval [0, 1] has adrawback:<br />
it causes motion ofthe manipulator also ifthe desired end-effector posture<br />
is out of reach; on the other hand, itcauses motion of the vehicle also if the<br />
manipulator alone could perform the task.<br />
Another problem is the need to handle a large number of variables;<br />
UVMSs, in fact, are complex systems and several variables must be monitored<br />
during the motion, e.g., the manipulator manipulability, the joint range<br />
limits to avoid mechanical breaks, the vehicle roll and pitch angles for correct<br />
tuning of the proximity sensors, the yaw angle to exploit the vehicle shape<br />
in presence of ocean current, etc. As it can be easily understood, itisquite