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Underwater Robots - Gianluca Antonelli.pdf

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3. Dynamic Control of 6-DOF AUVs<br />

3.1 Introduction<br />

In this Chapter, the problem ofcontrolling anAutonomous <strong>Underwater</strong> Vehicle<br />

in 6-DOFs is approached.<br />

To effectively compensate the hydrodynamic effects several adaptive (integral)<br />

control laws have been proposed in the literature (see, e.g., [91, 93, 97,<br />

152, 319]). In[126], anumber ofadaptive control actions are proposed, where<br />

the presence of an external disturbance is taken into account and its counteraction<br />

isobtained bymeans of aswitching term; simulation on the simplified<br />

three-DOF horizontal model of NEROV are given. In [121], abody-fixedframe<br />

based adaptive control law isdeveloped. In [314], an adaptive control<br />

law based onEuler angle representation of the orientation has been proposed<br />

for the control of an AUV; planar simulations are provided to show the effectiveness<br />

of the proposed approach. Reference [184] proposes aself-adaptive<br />

neuro-fuzzy inference system that makes use of a5-layer-structured neural<br />

network to improve the function approximation. In [175] afuzzy membership<br />

function based-neural network is proposed; the control’s membership functions<br />

derivation isachieved by aback propagation network.<br />

Generally speaking, the performance achievable from the application of<br />

adaptive control laws has been validated only by means of reduced-order simulations;<br />

on the other hand, six-DOF experimental results are seldom presented<br />

in the literature [299]. References [34, 35, 122, 126] describe six-DOF<br />

control laws in which the orientation is described bythe use of quaternions.<br />

The papers [34, 35, 84, 215, 216, 323] report six-DOF experimental results<br />

on the underwater vehicle ODIN (Omni-Directional Intelligent Navigator).<br />

An experimental work is given in [269, 270] by the use of the Johns Hopkins<br />

UniversityROV on asingle DOF. Differentsimple control laws are tested<br />

on the vehicle in presence ofmodel mismatching and thruster saturation and<br />

their performance is evaluated.<br />

Among the other hydrodynamic effects acting on arigid body moving in a<br />

fluid, the restoring generalized forces (gravity plus buoyancy) and the ocean<br />

current are of major concern in designing amotion control law for underwater<br />

vehicles, since they are responsible of steady-state position and orientation<br />

errors. However, while the restoring generalized forces are usually dealt with<br />

in the framework of adaptive dynamic compensations, only few papers take<br />

G. <strong>Antonelli</strong>: <strong>Underwater</strong> <strong>Robots</strong>, 2nd Edition, STAR 2, pp. 45–77, 2006.<br />

© Springer-Verlag Berlin Heidelberg 2006

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