土壤水分检测的模糊控制技术与试验

Soil Moisture Measurement Based on Fuzzy Control and Its Experimental Verification

为了提高多因素制约下非线性系统测试土壤湿度的精度,构建了基于神经网络模糊控制技术的控制器以及DSP（TMS320VC5402）信号采集模块,提出了基于神经网络模糊控制原理的土壤水分信号处理优化方法,确定了模糊控制规则和修正规则的BP学习算法,建立了基于神经网络模糊优化器,并对系统进行了验证。结果表明,应用神经网络模糊控制原理采集和处理测试数据使土壤湿度的测试精度提高0.13%~2.12%。

In order to improve the precision of soil moisture testing under natural causes and nonlinear system, the fuzzy controller and signal pickup assembly based on DSP （TMS320VC5402） were constructed by neural networks technique, and the signal processing and optimized method were raised. The BP learning algorithm for fuzzy control rule and amending rule were determined, moreover, the experiment and verification were done with the system. The results of experiment show the errors of soil moisture test by neural networks technique are 0. 13%-2. 12% lower than by routine method.