engleski

Demonstration of Self-learning Fuzzy Logic Controller Performance in the Matlab+SimulinkTM Environment

In this paper, we demonstrate a performance of a PD type self-learning fuzzy logic controller (SLFLC), which has been implemented as a function block for the very popular Matlab+Simulink environment. The SLFLC described in detail in [1] utilizes a reference model and a sensitivity model for learning of SLFLC parameters. The effectiveness of the SLFLC function block has been demonstrated on the model of a closed-loop engine speed control system provided in Matlab for demo purposes. The results show very clearly how the SLFLC brings improved performance into the selected control system example.

Fuzzy logic control; adaptive control; self-learning; Matlab function block

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