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In this study, neuro-fuzzy control of Quanser flexible link system is presented. Since flexible link has an under actuated nature, the PD-like and importance-based neuro-fuzzy (NF) controllers have to control the hub position so that it can attenuate the tip deflections. After simulation, both controllers are implemented on the Quanser flexible link system. As all different mathematical models of...
In this study, adaptive control of flexible link model which is non-minimum phase and single-input, multiple-output (SIMO) is presented. The controllers designed aim to control the hub position in a way that attenuates the tip deflections with less energy consumption. Methods used to design the under actuated controller are WRBF network and neuro-fuzzy network and are compared to LQR and non-adaptive...
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