Control of an uncertain robot manipulator using an observation-based modified fuzzy sliding mode controller
Автор: Shahnaz Tayebihaghighi, Farzin Piltan, Jong-Myon Kim
Журнал: International Journal of Intelligent Systems and Applications @ijisa
Статья в выпуске: 3 vol.10, 2018 года.
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The main contribution of this paper is the design of a robust model reference fuzzy sliding mode observation technique to control multi-input, multi-output (MIMO) nonlinear uncertain dynamical robot manipulators. A fuzzy sliding mode controller was used in this study to control the robot manipulator in the presence of uncertainty and disturbance. To address the challenges of robustness, chattering phenomenon, and error convergence under uncertain conditions, the proposed sliding mode observer was applied to the fuzzy sliding mode controller. This theory was applied to a six-degrees-of-freedom (DOF) PUMA robot manipulator to verify the power of the proposed method.
Sliding mode observer, fuzzy sliding mode controller, fuzzy logic theory, robot manipulator, observation technique, chattering phenomenon, robustness
Короткий адрес: https://sciup.org/15016470
IDR: 15016470 | DOI: 10.5815/ijisa.2018.03.05
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