摘要
巨磁阻传感器(GMRS)具有灵敏度高、易小型化、能耗低等特点,应用前景广泛,但它易受温度变化的影响,在高性能使用中需要进行必要的温度补偿。对基于NVE公司的AAH002-02巨磁阻元件进行了信号调理以及温度特性测试,并运用微粒群补偿算法对温度特性进行了处理。与二次最小二乘法补偿相比,微粒群二次拟合算法具有更好的补偿效果。
The giant magneto-resistive sensor（GMRS） features high sensitivity,ease to miniaturization and low power consumption,thus it possess wide applicable prospects.But it is necessary to add temperature compensation for GMRS in high performance applications because the sensor is influenced by temperature variation.Based on the signal conditioning and test of temperature characteristics for the GMRS AAH002-02 of NVE Corporation,by adopting particle swarm compensation algorithm,the temperature characteristics are processed.The result of compensation is compared with that of by quadratic least square compensation,the particle swarm fitting algorithm offers better compensation effects.
出处
《自动化仪表》
CAS
北大核心
2011年第10期69-71,共3页
Process Automation Instrumentation
关键词
巨磁阻传感器
微粒群优化
最小二乘法
温度补偿
非线性
Giant magneto-resistive sensor（GMRS） Particle swarm optimal（PSO） Least square method Temperature compensation Nonlinear
