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土壤水分檢測(cè)的模糊控制技術(shù)與試驗(yàn)
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Measurement Based on Fuzzy Control and Its Experimental Verification
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    摘要:

    為了提高多因素制約下非線性系統(tǒng)測(cè)試土壤濕度的精度,，構(gòu)建了基于神經(jīng)網(wǎng)絡(luò)模糊控制技術(shù)的控制器以及DSP(TMS320VC5402)信號(hào)采集模塊,，提出了基于神經(jīng)網(wǎng)絡(luò)模糊控制原理的土壤水分信號(hào)處理優(yōu)化方法，確定了模糊控制規(guī)則和修正規(guī)則的BP學(xué)習(xí)算法，建立了基于神經(jīng)網(wǎng)絡(luò)模糊優(yōu)化器,，并對(duì)系統(tǒng)進(jìn)行了驗(yàn)證。結(jié)果表明,，應(yīng)用神經(jīng)網(wǎng)絡(luò)模糊控制原理采集和處理測(cè)試數(shù)據(jù)使土壤濕度的測(cè)試精度提高

    Abstract:

    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.

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高遲,閻勤勞,薛少平,單來(lái)成.土壤水分檢測(cè)的模糊控制技術(shù)與試驗(yàn)[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2009,40(5):68-71. Measurement Based on Fuzzy Control and Its Experimental Verification[J]. Transactions of the Chinese Society for Agricultural Machinery,2009,40(5):68-71.

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