模糊自适应滤波γ射线在线矿浆密度计

Radiation On-line Ore Pulp Density Gauge Using Fuzzy Logic

用γ射线在线检测矿浆密度测量值存在统计涨落。为减少统计误差,要求密度计在测量中采用较长的测量时间。然而,当输入信号变化较快时,会导致密度计响应迟缓,测量动态误差大。为克服这一矛盾,提高测量精度,将模糊逻辑应用于同位素在线矿浆密度计的信号处理,设计了测量信号模糊滤波算法,利用模糊决策表调整滤波常数,使密度计测量时间随被测信号的变化而自动改变。仿真结果表明该方法提高了γ射线在线矿浆密度计的适应能力,使仪表的动态性能和统计精度都得到了提高。

There is statistical fluctuation of measurement value when the ore pulp density is measured on-line with radiation, In order to decrease statistical error, longer measuring time should be adopted by radiation ore pulp density gauge to perform meas- urement. However, the gauge cannot respond quickly and dynamic measurement error will be higher due to longer measuring time when input signal changes rapidly. In order to solve this problem and to rise the measuring accuracy, fuzzy logic was employed to control the signal processing of the gauge. A filtering algorithm was developed and the filter constant was adjusted with a fuzzy decision table so that the measuring time varied according to the variation of the input signals. The simulation results show that, the adaptability of the on-line radiation ore pulp density gauge was enhanced with the proposed method, both the dynamic behavior and statistical accuracy of the gauge was improved.