Fuzzy logic and neurofuzzy technologies in embedded automotive applications

Abstract

Most advanced control algorithms in automotive engineering can benefit from fuzzy logic and neurofuzzy techniques. Either by speeding up the development cycle or by rendering functionalities not achieved by other advanced control techniques, fuzzy logic complements conventional control by incorporating engineering "know-how" in the design process. Typical embedded applications are in the area of ABS, ASR, 4WD/4WS, suspension and powertrain control. This paper focuses on the implementational and design issues special to automotive applications. The integration of high-speed fuzzy logic software implementations into existing hardware platforms and the optimization and verification strategies for fuzzy logic systems are discussed with a case study of an anti-skid steering system implemented in a model car at the University of Aachen.<>