Fuzzy sliding mode control for an under-actuated system with mismatched uncertainties
SY Shin, JJ Lee - Artificial Life and Robotics, 2010 - Springer
SY Shin, JJ Lee
Artificial Life and Robotics, 2010•SpringerThis article presents a robust fuzzy sliding mode controller. The methodology of sliding
mode control provides an easy way to control under-actuated nonlinear systems with
uncertainties. The structure of the sliding surface is designed as follows. First, decouple the
entire system into second-order systems so that each subsystem has a separate control
target expressed in terms of a sliding surface. Second, from the sliding surface of
subsystems, organize the main sliding surface system. Third, generate a control input for the …
mode control provides an easy way to control under-actuated nonlinear systems with
uncertainties. The structure of the sliding surface is designed as follows. First, decouple the
entire system into second-order systems so that each subsystem has a separate control
target expressed in terms of a sliding surface. Second, from the sliding surface of
subsystems, organize the main sliding surface system. Third, generate a control input for the …
Abstract
This article presents a robust fuzzy sliding mode controller. The methodology of sliding mode control provides an easy way to control under-actuated nonlinear systems with uncertainties. The structure of the sliding surface is designed as follows. First, decouple the entire system into second-order systems so that each subsystem has a separate control target expressed in terms of a sliding surface. Second, from the sliding surface of subsystems, organize the main sliding surface system. Third, generate a control input for the main sliding surface to make whole subsystems move toward their sliding surface. A fuzzy controller is used to obtain a smooth boundary layer to the sliding surface. Finally, the fuzzy sliding mode controller presented is used to control an under-actuated nonlinear system, and confirms the validity of the proposed approach and its robustness to uncertainties.
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