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- W3116684962 abstract "This paper presents the optimization of two fuzzy logic control (FLC) schemes applied to a magnetic levitation (MagLev) system. The controller optimization is performed using a hybrid algorithm that combines the techniques of genetic algorithms (GA) and Bacterial Foraging Optimization (BFO) algorithm. Comparisons with a type-1 fuzzy PD (T1-FPD) and an interval type-2 fuzzy PD (IT2-FPD) controllers applied to a MagLev system are addressed via simulations in MATLAB -Simulink. The obtained type-2 controllers are based on the design of type-1 fuzzy logic controllers; from these, the uncertainty is generated to have the type-2 membership functions. The control law is directly calculated from the error position signal of the steel ball, as well as its respective velocity error, which presents interesting control qualities." @default.
- W3116684962 created "2021-01-05" @default.
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- W3116684962 date "2020-11-11" @default.
- W3116684962 modified "2023-10-16" @default.
- W3116684962 title "BFO-GA Interval Type-2 Fuzzy PD Control applied to a Magnetic Levitation System" @default.
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- W3116684962 doi "https://doi.org/10.1109/cce50788.2020.9299187" @default.
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