Adaptive control of nonlinear underwater robotic systems

The problem of controlling underwater mobile robots in six degrees of freedom (DOF) is addressed. Uncertainties in the input matrix due to partly known nonlinear thruster characteristics are modeled as multiplicative input uncertainty. Two methods to compensate for the model uncertainties are proposed: (1) an adaptive passivity-based control scheme, and (2) deriving a hybrid (adaptive and sliding) controller. The hybrid controller consists of a switching term which compensates for uncertainties in the input matrix and an online parameter estimation algorithm. Global stability is ensured by applying Barbalat's Lyapunov-like lemma. The hybrid controller is simulated for the horizontal motion of the Norwegian Experimental Remotely Operated Vehicle (NEROV).<
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