A fuzzy time delay control is proposed to design a position servo system. As its name suggests, fuzzy logic is combined with the robust structure of a time delay control. Like a delayed mental perception in manual control, a past observation embeds fuzzy rules to directly estimate the imprecise system dynamics. Thus, the fuzzy time delay control does not require the explicit mathematical model nor does it depend on the learning approach for adaptation. The proposed control can afford to provide a practical method for nonlinear systems. Performance evaluations are shown through the control synthesis of a d.c. servo motor.
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