Designing Flexible Neuro-Fuzzy System Based on Sliding Mode Controller for Magnetic Levitation Systems
This study presents a novel controller of magnetic levitation
system by using new neuro-fuzzy structures which called flexible
neuro-fuzzy systems. In this type of controller we use sliding
mode control with neuro-fuzzy to eliminate the Jacobian of plant.
At first, we control magnetic levitation system with Mamdanitype
neuro-fuzzy systems and logical-type neuro-fuzzy systems
separately and then we use two types of flexible neuro-fuzzy
systems as controllers. Basic flexible OR-type neuro-fuzzy
inference system and basic compromise AND-type neuro-fuzzy
inference system are two new flexible neuro-fuzzy controllers
which structure of fuzzy inference system (Mamdani or logical)
is determined in the learning process. We can investigate with
these two types of controllers which of the Mamdani or logical
type systems has better performance for control of this plant.
Finally we compare performance of these controllers with sliding
mode controller and RBF sliding mode controller.
Keywords: Flexible neuro-fuzzy inference systems, Sliding mode, Mamdani approach, Logical approach and Magnetic levitation system
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