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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

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