Real-time self-organising fuzzy logic controller for DC servo

Fuzzy logic controllers (FLC) have been used to provide solutions to control systems which are either ill-defined or too complex to model. For better control quality, self-organising fuzzy logic controllers (SOFLC) have been developed recently to include a self-learning process within the fuzzy logic framework. A major disadvantage of a self-organising fuzzy logic controller is that it is highly computational intensive. In this paper, the authors concentrate on the development of a real-time implementation of a self-organising fuzzy logic controller for a DC servomotor. In particular, they propose an efficient algorithm for implementation of the essential rule reinforcer module of the self-organising process. Experimental results show that even with limited knowledge on the system plant, the controller is able to yield good performance with strong robustness