مدلسازي نيروي كشش يك تيغه خاكورز بالدار بر اساس سامانه استنتاج فازي و روش رگرسيون خطي چند متغيره

در اين تحقيق يك روش مبتني بر منطق فازي جهت پيش بيني عملكرد كششي يك نوع تيغه بالدار مورد ارزيابي و جهت تعيين دقت آن در پيش بيني، با روش آناليز رگرسيون خطي چندمتغيره مورد مقايسه قرار گرفت.آزمايش هايي روي تيغه خاكورز در خاكي با بافت لومي- رسي با محتواي رطوبتي 13/23% و در عمق هاي 100 و 200 و 300 ميليمتر انجام شد.اصول مدلسازي فازي بر اساس روش سوگنو به منظور پيش بيني تغييرات نيروي كشش نسبت به عرض و عمق كاري تيغه خاكورز استفاده شد. در داده هاي آموزش مقادير ضريب تعيين و خطاي نسبي در روش مبتني بر منطق فازي به ترتيب 0/970ئ6.274% ودرروش آناليز رگرسيون خطي به ترتيب 0/958 و 8ه/083 بدست آمد

A method based on fuzzy logic approach was conducted to predict the draft performance of a winged share tillage tool. To determine the accuracy of this method, we compared it with multiple linear regression analysis method. Experiments were carried out in a soil bin filled with clay loam soil with an average moisture content of 13.23% (dry basis) and soil bulk densities at depths of operation 100, 200 and 300 mm were measured to be 1.29, 1.46 and 1.47 g/cm3, respectively. Fuzzy modeling principles based on sugeno method were used to predict the draft force variations relative to the tillage tool width and working depth. In comparison to classical methods, fuzzy logic had the advantage of being more flexible to experiment data and was more accurate. At train data, the values of coefficient of determination and relative error were obtained to be 0.970 and 6.274%, respectively in fuzzy logic based method and 0.958 and 8.083%, respectively in regression analysis method. Also at test data, the values of coefficient of determination and relative error were obtained to be 0.981 and 5.69%, respectively in fuzzy logic based method and 0.975 and 6.76%, respectively in regression analysis method.