Abstract
PID (Proportional, Integral and Derivative) control is generally used in industrial products today, because of its simple algorithm and good adaptability on the scene. However, the matching of PID control parameters is difficult, thus we are looking forward to the development of auto-tuning of PID control parameters. In this study, we attempted fuzzy auto-tuning for a gasoline engine's electronic speed controller with PID control. Here fuzzy production rules are independently applied, and each rule is weighted by the degree of inputs of assumed parts. This fuzzy reasoning method is useful in simplifying the description of fuzzy production rules and provides a simple means of control similar to that performed by humans.
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