本文選題：人工化學反應 + 支持矢量回歸機　； 參考：《中國機械工程》2016年14期

【摘要】：智能減壓閥可通過控制膜片缸壓力實現出口壓力的智能調節(jié)。膜片缸壓力是智能減壓閥控制器的控制目標,因此需要依據進口壓力和出口目標壓力對膜片缸壓力進行預測�；诖�,提出了基于人工化學反應優(yōu)化算法的支持向量回歸機(ACROA-SVR)參數優(yōu)化方法,并將ACROA-SVR應用于智能減壓閥膜片缸壓力預測,采用實驗數據將ACROA-SVR與基于遺傳算法的SVR和傳統(tǒng)SVR進行了對比,分析結果表明了ACROA-SVR的有效性和優(yōu)越性。
[Abstract]:The intelligent pressure reducing valve can realize the intelligent adjustment of the outlet pressure by controlling the pressure of the diaphragm cylinder.The pressure of diaphragm cylinder is the control target of intelligent valve controller, so it is necessary to predict the pressure of diaphragm cylinder based on inlet pressure and outlet pressure.Based on this, a parameter optimization method of support vector regression machine (SVM) based on artificial chemical reaction optimization algorithm is proposed, and ACROA-SVR is applied to predict the pressure of diaphragm cylinder of intelligent pressure reducing valve.The experimental data are used to compare ACROA-SVR with SVR based on genetic algorithm and traditional SVR. The results show the effectiveness and superiority of ACROA-SVR.
【作者單位】： 湖南大學;湖南省特大口徑電站閥門工程技術研究中心;
【基金】：國家科技重點專項(2011ZX07412-001-02)
【分類號】：TH134
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本文編號：1736240