Detecting Automotive Exhaust Gas Based on Fuzzy Inference System

Author

Li Shu-jin ; Bai Ming ; Wang Quan ; Chen Bo ; Zhao Xiao-bing ; Yang Ting ; Wang Zhao-xia

Author_Institution

Tianjin Key Lab. of Film Electron. & Commun. Device, Tianjin Univ. of Technol., Tianjin, China

Volume

3

fYear

2009

fDate

14-16 Aug. 2009

Firstpage

267

Lastpage

270

Abstract

This paper proposes a method of detecting automotive exhaust gas based on fuzzy logic inference after analyzing the principle of the infrared automobile exhaust gas analyzer and the influence of the environmental temperature on analyzer. This paper analyses the measurement error caused by environmental temperature, and then makes a non-linear error correction of temperature for the infrared sensor using fuzzy inference. The results of simulation have clearly demonstrated that the proposed fuzzy compensation scheme is better than the non-fuzzy method.

Keywords

automobiles; chemical engineering computing; chemical variables measurement; computerised instrumentation; error correction; exhaust systems; fuzzy reasoning; infrared detectors; pollution measurement; automotive exhaust gas detection; fuzzy compensation; fuzzy inference system; infrared automobile exhaust gas analyzer; infrared sensor; nonlinear error correction; Automobiles; Automotive engineering; Error analysis; Error correction; Fuzzy logic; Fuzzy systems; Infrared detectors; Infrared sensors; Measurement errors; Temperature sensors; automotive exhaust gas; fuzzy inference; infrared analyzer; temperature compensation;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on

Conference_Location

Tianjin

Print_ISBN

978-0-7695-3735-1

Type

conf

DOI

10.1109/FSKD.2009.137

Filename

5358958