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Parameter Determination of Dynamic Sensor Model with Particle Swarm Optimization Technique

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1 Author(s)
Xiaodong Wang ; Dept. of Electron. Eng., Zhejiang Normal Univ., Jinhua, China

An accurate mathematical model is a useful tool for analysis and design of sensor systems. In this paper, a novel approach based on particle swarm optimization (PSO) is applied to determine the parameters of dynamic sensor model. A hot-film mass airflow (MAF) sensor, which is used to measure the intake mass airflow in the engine systems of automobile, has been used as a simulation example for demonstration. The results indicate that the PSO is an effective technique for determining the parameters of dynamic sensor models.

Published in:

Measuring Technology and Mechatronics Automation, 2009. ICMTMA '09. International Conference on  (Volume:1 )

Date of Conference:

11-12 April 2009