Improvement of fuzzy auto-tuning method of DC chopper system using manipulated value

An auto-tuning using fuzzy reasoning is discussed for the I-PD control systems. We have previously (1993) proposed one method about same topic. In this paper, we have proposed two new methods of reasoning and compared with conventional ones. In the fuzzy auto-tuning, the characteristic values are calculated with the reference, the controlled, and the manipulated value at each sampling time. Next, new gains are set by multiplication with adjustment coefficients determined by fuzzy reasoning and last gain values. The fuzzy reasoning is obtained by a product-sum compositional rule of inference, and then defuzzified by the height procedure to generate a nonfuzzy value. In the simulation, the settling time by using these was shorter than one using a conventional value, which only uses controlled value and reference. An appropriate control response is obtained by tuning of several times on DSP control system. In the experiment, the tuning time using the new proposed characteristic value was shorter than that using the previous method. In the result, the effectiveness of this method is shown