摘要
为满足快速称重的要求,结合遗传算法寻优速度快和函数联接型神经网络(FLANN)有较强的函数逼近能力的优点,设计了一种基于遗传算法优化的FLANN补偿器,实现对称重传感器的动态特性补偿。采用遗传算法优化FLANN的连接权值。仿真表明:阶跃响应时间快,且超调量小,有效地提高了称重传感器的动态响应过程,且方法简单,易于工程实现,具有实用价值。
A dynamical compensating device for Weighting Sensor is designed based on genetic algorithms （GA） and functional link artificial neural network（FLANN） ,in order to meet the demands of rapid weighing,combining the advantage of fast searching optimization of genetic algorithms and the advantage of better functional following of FLANN. Genetic algorithms is used to search the optimal link weights of FLANN. The simulation shows that the time of the step response and overshoot are reduced. The dynamical respond of the weighing sensor is approved effectively. And due to its simple algorithm can easily be realized, it has the practical value in practice.
出处
《传感器与微系统》
CSCD
北大核心
2006年第8期25-28,共4页
Transducer and Microsystem Technologies
关键词
称重传感器
动态补偿
函数联接型神经网络
遗传算法
weighting sensor
dynamical compensation
functional link artificial neural network （ FLANN ） ： genetic algorithm
