Switching rules based on fuzzy energy regions for a switching control of underactuated robot systems
نویسندگان
چکیده
Abstract: One of control methods for underactuated manipulators is known as a switching control which selects a partiallystable controller using a prespecified switching rule. A switching computed torque control with a fuzzy energy region method was proposed. In this approach, some partly stable controllers are designed by the computed torque method, and a switching rule is based on fuzzy energy regions. Design parameters related to boundary curves of fuzzy energy regions are optimized offline by a genetic algorithm (GA). In this paper, we discuss on parameters obtained by GA. The effectiveness of the switching fuzzy energy method is demonstrated with some simulations.
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