Parameter Determination of Dynamic Sensor Model with Particle Swarm Optimization Technique

摘要：

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.

关键词： sensor parameter identification dynamic model particle swarm optimization

作者: Xiaodong Wang

作者单位: Department of Electronic Engineering Zhejiang Normal University Jinhua 321004,China

会议类型: 国际会议

会议名称: 2009 International Conference on Measuring Technology and Mechatronics Automation(ICMTMA 2009)(2009年检测技术与机械自动化国际会议)

会议地点: 长沙

会议语种:英文

页码: 43-46

在线出版日期: 2009-04-11（万方平台首次上网日期，不代表论文的发表时间）