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Speed Control of Induction Machines Using Fuzzy Algorithm with Hierarchical Structure

Ho-Seok Lee, Soon-Bong Cho, Dong-Seok Hyun

Abstract

A new speed controller based on the fuzzy algorithm with hierarchical structure is presented. The input variables of the controller are speed error and its derivative(change of error), where the output variable is the change of torque current command. Several comparisons were performed with conventional PI (proportional plus integral) controller and proposed controller. These controllers are applied to the laboratory model drive system with 2.2kW induction motor. Some simulation and experimental results show that the speed controller using fuzzy algorithm is more robust than the conventional PI controller.

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Key concepts: Control theory (sociology), Controller (irrigation), Fuzzy logic, Electronic speed control, PID controller, Induction motor, Computer science, Variable (mathematics)