Title :
Fuzzy logic and neurofuzzy technologies in embedded automotive applications
Author :
Von Altrock, Constantin ; Krause, Bemhard
Author_Institution :
Inform Software Corp., Evanston, IL, USA
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
Keywords :
automobiles; fuzzy control; fuzzy logic; neural nets; real-time systems; road vehicles; 4WD/4WS; ABS; ASR; University of Aachen; anti-skid steering system; automotive engineering; embedded automotive applications; fuzzy logic; hardware platforms; high-speed fuzzy logic software; model car; neurofuzzy technologies; powertrain control; suspension; Application software; Automatic speech recognition; Automotive applications; Automotive engineering; Design engineering; Fuzzy logic; Hardware; Mechanical power transmission; Power engineering and energy; Process design;
Conference_Titel :
Industrial Fuzzy Control and Intelligent Systems, 1993., IFIS '93., Third International Conference on
Conference_Location :
Houston, TX
Print_ISBN :
0-7803-1485-9
DOI :
10.1109/IFIS.1993.324214
