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Non-linear dynamic modeling of hot-film/wire MAF sensors with two-stage identification based on Hammerstein model
- Source :
- Sensors and Actuators A: Physical. 135:131-140
- Publication Year :
- 2007
- Publisher :
- Elsevier BV, 2007.
-
Abstract
- The hot-film/wire MAF sensors are widely used in automotive engines to measure the intake mass air flow for controlling the air fuel ratio due to their quick response, wide range and high reliability. However their non-linear dynamic characteristics influence the measurement accuracy of the hot-film/wire MAF sensors. In order to describe the sensor characteristics, this paper proposes a two-stage identification method based on the Hammerstein model and the experimental data of multi-amplitude step response. The modeling results show that the non-linear dynamic models of hot-film/wire MAF sensors are more accurate than the linear dynamic models, and convenient for sensor non-linear dynamic correction. This modeling method can also be applied to other sensors.
- Subjects :
- Automotive engine
Accuracy and precision
Measure (data warehouse)
Engineering
business.industry
Mass flow sensor
Metals and Alloys
Condensed Matter Physics
Surfaces, Coatings and Films
Electronic, Optical and Magnetic Materials
Step response
Control theory
Range (statistics)
Air–fuel ratio
Electrical and Electronic Engineering
business
Instrumentation
Reliability (statistics)
Subjects
Details
- ISSN :
- 09244247
- Volume :
- 135
- Database :
- OpenAIRE
- Journal :
- Sensors and Actuators A: Physical
- Accession number :
- edsair.doi...........7aacb6e11a94f1039067607de6ce11bf
- Full Text :
- https://doi.org/10.1016/j.sna.2006.06.050