FUZZY MICROCONTROLLER FOR COMPLEX NONLINEAR SIGNAL RECOGNITION

An arrangement (apparatus and method) using fuzzy logic for performing signal processing functions to determine the occurrence of an event, such as a vehicle crash. An acceleration sensor signal is fuzzified by comparison with dynamic membership functions having adjustable centers from feedback inputs. Each crisp input is fuzzified by determining the distance of the crisp input from the center of the membership function and linearly complementing the result with respect to the width of the membership function, thereby eliminating the necessity for determining the shape of the membership function. The dynamic membership functions are used to generate an average level signal, and an accummulated energy signal. A crash detection signal is generated after a comparison between the dynamically-adjusted average level and accummulated energy signals. The uses of the dynamic membership functions provide reliable detection and a low-cost implementation.