Neuro-Fuzzy Control of a Robotic Manipulator

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Abstract

In this paper, to solve the problem of control of a robotic manipulator’s movement with holonomical constraints, an intelligent control system was used. This system is understood as a hybrid controller, being a combination of fuzzy logic and an artificial neural network. The purpose of the neuro-fuzzy system is the approximation of the nonlinearity of the robotic manipulator’s dynamic to generate a compensatory control. The control system is designed in such a way as to permit modification of its properties under different operating conditions of the two-link manipulator

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International Journal of Applied Mechanics and Engineering

The Journal of University of Zielona Góra

Journal Information


CiteScore 2016: 0.12

SCImago Journal Rank (SJR) 2016: 0.127
Source Normalized Impact per Paper (SNIP) 2016: 0.063

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