Title :
Error correction using fuzzy logic in vehicle load measurement
Author :
Su, Laiping ; Komata, Chikara
Author_Institution :
Info-Telematics R&D Div., Yazaki Corp., Shizuoka, Japan
Abstract :
In vehicle load measurement, there is an accuracy problem caused by variations in the measuring condition, sensor characteristics, and so on. The problem can be explained by changes of loading states with a diversity of uncertainties. In this study, we consider an in-vehicle-type load indicator and propose an error correction technique to compensate the error contained in the load measurement, by using fuzzy logic for dealing with changes in the loading states with a diversity of uncertainties
Keywords :
computerised instrumentation; error compensation; error correction; fuzzy logic; mechanical engineering computing; road vehicles; uncertain systems; weighing; accuracy; error compensation; error correction technique; fuzzy logic; in-vehicle-type load indicator; inclination parameter; loading state changes; measuring condition variations; sensor characteristics variations; uncertainties; vehicle load measurement; Error correction; Fuzzy logic; Intelligent sensors; Intelligent systems; Magnetic sensors; Magnetostriction; Road safety; Sensor phenomena and characterization; Springs; Vehicle safety;
Conference_Titel :
Knowledge-Based Intelligent Electronic Systems, 1997. KES '97. Proceedings., 1997 First International Conference on
Conference_Location :
Adelaide, SA
Print_ISBN :
0-7803-3755-7
DOI :
10.1109/KES.1997.619442
