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Underwater Robots - Gianluca Antonelli.pdf

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[deg]<br />

3<br />

2.5<br />

2<br />

1.5<br />

1<br />

0.5<br />

7.8 Output Feedback Control 163<br />

without adaptation<br />

with adaptation<br />

0<br />

0 20 40 60 80 100<br />

time [s]<br />

Fig. 7.11. Adaptive control. Comparison between adaptive and PD +dynamic<br />

compensation in terms of joint position error absolute values<br />

fromgyroscopic sensors and/or compasses.Velocitymeasurements are usually<br />

obtained from sensors based on the Doppler effect.<br />

In the case of underwater vehicles operating close to off-shore structures,<br />

position and orientation measurements are fairly accurate, while velocity<br />

measurements are poor, especially during slow maneuvers. Hence, itisworth<br />

devising algorithms for position and attitude control that do not require direct<br />

velocity feedback.<br />

Anonlinear observer for vehicle velocity and acceleration has been proposed<br />

in [125, 129], although acombined controller-observer design procedure is<br />

not developed. On the other hand, apassivity-based control law isproposed<br />

in [193], where the velocities are reconstructed via alead filter; however, this<br />

control scheme achieves only regulation of position and orientation variables<br />

for anunderwater vehicle-manipulator system.<br />

In this Section, the problem of outputfeedbacktracking control of UVMSs<br />

is addressed. The output ofthe controlled system is represented by the position<br />

and the attitude of the vehicle, together with the position of the manipulator’s<br />

joints. Remarkably, the unit quaternion isused to express the<br />

orientation of avehicle-fixed frame so as to avoid representation singularities<br />

when expressing the vehicle attitude.<br />

The new control law here discussed isinspired by the work in [45] in that<br />

amodel-based control law isdesigned together with anonlinear observer for<br />

velocity estimation; the two structures are tuned to each other in order to<br />

achieve exponential convergence tozero of both motion tracking and estimation<br />

errors. It must be remarked that differently from the work in [45], where<br />

asimple time-derivative relates position and velocity variables atthe joints,<br />

in the control problem considered in this Chapter, anonlinear mapping exists<br />

between orientation variables (unit quaternion) and angular velocity ofthe

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