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Functional Machine With Takagi–Sugeno Inference to Coordinated Movement in Underwater Vehicle-Manipulator Systems

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2 Author(s)
Farias dos Santos, C.H. ; Eng. & Exact Sci. Center, Western Parana State Univ., Foz do Iguacu, Brazil ; De Pieri, E.R.

This paper investigates the viability of applying a functional machine with a fuzzy approach for redundancy resolution to an autonomous underwater vehicle-manipulator system (UVMS). The functional machine is constructed by a linear combination of sigmoidal functions, with a topology similar to the perceptron, and its inference is developed by fuzzy logic. The proposed algorithm generates a desired trajectory for the vehicle that takes into account two control objectives: the energy savings and the increase of system manipulability by a smooth actuation. The computer simulation results demonstrate the efficiency of this approach.

Published in:

Fuzzy Systems, IEEE Transactions on  (Volume:21 ,  Issue: 6 )