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Underwater Robots - Gianluca Antonelli.pdf

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7.4 Nonlinear Control for UVMSs with Composite Dynamics 147<br />

the vehicle/manipulator dynamics are used as abasis for the control design.<br />

This has been developed having in mind aVortex vehicle together with a<br />

PA10, 7-DOF, manipulator for which Tables 7.1 and 7.2 reports some time<br />

response of the subsystems.<br />

Table 7.1. Vortex/PA10’s sensor time response<br />

measured variable time response<br />

surge and sway x , y 400 ms<br />

depth z 1000 ms<br />

yaw ψ 1000 ms<br />

pitch and roll φ , θ 100 ms<br />

joint position q 1ms<br />

Table 7.2. Vortex/PA10’s actuators time response<br />

type time response<br />

vehicle thruster 160 ms<br />

manipulator’s electrical CD motor 0 . 5ms<br />

Let consider astate vector composed by the earth-fixed-frame-based coordinates<br />

of the vehicle and the joint position. Inthe following the dependencies<br />

will be dropped out toincrease readability. It can be demonstrated that its<br />

(6 + n ) × (6 + n )inertia matrix has the form [255]:<br />

� � �<br />

M v + M qq M vq<br />

M T vq<br />

M q<br />

where M � v ∈ IR 6 × 6 is the earth-fixed inertia matrix of the sole vehicle<br />

(see eq. (2.53)), M q ∈ IR n × n is the inertia matrix of the sole manipulator,<br />

M qq ∈ IR 6 × 6 is the contribution of the manipulator onthe inertia matrix<br />

seen from the vehicle, M vq ∈ IR 6 × n is the coupling term between vehicle<br />

and manipulator; all the matrices include the added mass. Its inverse can be<br />

parameterized in:<br />

M − 1 =<br />

� M − 1<br />

11<br />

− M T 12<br />

− M �<br />

12<br />

− 1<br />

M 22<br />

(7.4)<br />

where the block diagonal matrices M 11 and M 22 are ofdimension 6 × 6and<br />

n × n ,respectively, and M 12 ∈ IR 6 × n .

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