Dinu Petre Madau

Fuzzy logic anti-lock brake system for a limited range coefficient of friction surface

Describes the preliminary research on and implementation of a fuzzy logic controller to control wheel slip for an antilock brake system. The dynamics of braking systems are highly nonlinear and time-variant. Simulation was used to derive an initial rule base, which was then tested on an experimental brake system. The rules were further refined by analysis of the data acquired from vehicle braking maneuvers on a surface with a high coefficient of friction. The robustness of the fuzzy logic slip regulator was further tested by varying operating conditions and external environmental variables.<<ETX>>

Technical challenges in the development of vehicle stability control system

This paper addresses realistic subjects encountered in the challenge of achieving technology improvement in a vehicle stability control system. They include driver intent recognition, control development philosophy, vehicle side slip estimation, and road bank angle estimation.

Influence value defuzzification method

This paper describes a computationally efficient method of defuzzification which we call the influence value (IV) algorithm. The algorithm is meant to be used in conjunction with standard max-min (Mamdani) inference and significantly mitigates the computational cost associated with the aggregation operation followed by the determination of the center of area (COA) of the aggregated output. A straightforward computation of the COA requires a point-by-point maximum operation over the full range of the output variable and then determination of the COA by integration. In contrast, the present method exploits precalculation to achieve an excellent approximation with substantially fewer computations. For practical applications, this permits max-min inference to be carried out with inexpensive processing devices at relatively high speed.