Fuzzy logic ABS control: sizing theory to implementation

Mark L. Akey

doi:10.1117/12.243262

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14 June 1996 Fuzzy logic ABS control: sizing theory to implementation

Mark L. Akey

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Proceedings Volume 2761, Applications of Fuzzy Logic Technology III; (1996) https://doi.org/10.1117/12.243262
Event: Aerospace/Defense Sensing and Controls, 1996, Orlando, FL, United States

Abstract

Research of a fuzzy logic (FL) controller to perform commercial truck anti-skid braking (ABS) has been completed. Via quarter-model simulation, the FL ABS braking performance demonstrates a 30% improvement over the currently fielded finite state (FS) ABS controller. Significance of this improvement is determined by comparing braking distances to a theoretical lower bound. The next step in the ABS product improvement cycle is the functional replacement of the FS with the FL control algorithm. The functional replacement is constrained by the current form, fit and function of the existing fielded package. Thus, a 'sizing' of the FL controller must balance this 30% improvement in braking distance against the performance constraints imposed by the current memory size, memory speed, processor architecture, and processor speed of the fielded system. This FL case study provides an opportunity to identify 'sizing' issues as they relate to fuzzy logic, and in particular, as they relate to limited memory.

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Mark L. Akey "Fuzzy logic ABS control: sizing theory to implementation", Proc. SPIE 2761, Applications of Fuzzy Logic Technology III, (14 June 1996); https://doi.org/10.1117/12.243262

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