摘要
为满足对医药胶囊在线快速称重的要求,提出对称重检测传感器系统采用基于神经网络识别和极点配置的自适应补偿方式,改进提高称重系统的动态特性.通过M atL ab软件仿真计算,表明该方法在提高称重传感器动态响应速度方面具有一定效果.
In order to meet the requirement of online frequent capsule weighing,a new auto-adaptive compensating method is adopted to improve the dynamical performance of weighing system,which bases on the theory of neural network and poles configuration. It seems that the method has some effects on increasing the weighing sensor＇s dynamical response velocity through the simulation by Matlab.
出处
《武汉理工大学学报（交通科学与工程版）》
2006年第1期180-182,共3页
Journal of Wuhan University of Technology（Transportation Science & Engineering）
关键词
称重传感器
神经网络
自适应补偿
weighing sensor
neural network
auto adaptive compensating
