In this study, self-organizing fuzzy logic controller (SOFLC) is used in 2D motion tracking control. SOFLC avoids the need of the prior knowledge of the system, and is able to create and modify the control rules by learning based on a given performance criterion. Simulation results compare the performance of SOFLCC with simple fuzzy logic controller. It is found that the SOFLC is able to lower the tracking error below a desired set value in a short time for 2D tracking control.
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