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基于EBF神經(jīng)網(wǎng)絡(luò)模型的噴霧機(jī)吊噴分禾器參數(shù)優(yōu)化
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國家公益性行業(yè)(農(nóng)業(yè))科研專項(xiàng)(201203025)和農(nóng)業(yè)部948引進(jìn)重點(diǎn)項(xiàng)目(2011-G10(4))


Parameter Optimization on Crop Divider of Cotton Defoliation Sprayer Based on EBFNN
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    摘要:

    噴桿-吊桿組合式噴霧機(jī)被廣泛應(yīng)用于棉花催熟脫葉劑的噴施,由于棉花采用密植栽培模式,棉花冠層中下部脫葉劑噴施覆蓋率低,脫葉效果差,嚴(yán)重影響了機(jī)采棉品質(zhì)。為提高棉花中下部的噴灑覆蓋率,減小噴霧機(jī)行駛阻力,提出吊桿分禾器參數(shù)優(yōu)化方案,采用Box-Behnken設(shè)計(jì)制定試驗(yàn)方案,以分禾器前傾角、安裝高度、作業(yè)速度等參數(shù)作為試驗(yàn)因素,通過田間試驗(yàn)獲取霧滴覆蓋率、分禾阻力等響應(yīng)數(shù)據(jù),使用橢球基神經(jīng)網(wǎng)絡(luò)(Ellipsoidal basis function neural network,EBFNN)逼近響應(yīng)和試驗(yàn)因素之間的關(guān)系,建立精度可靠的近似模型,基于該模型對試驗(yàn)因素分析、優(yōu)化。并得到最佳試驗(yàn)參數(shù)組合:分禾器離地高度210mm、分禾器前傾角12°、噴霧機(jī)作業(yè)速度4km/h。在此條件下進(jìn)行田間試驗(yàn),棉花冠層平均霧滴覆蓋率為22.49%,與模型預(yù)測值相比誤差為10.89%;分禾阻力試驗(yàn)均方根為70.9N,與模型預(yù)測值相比誤差為7.78%。

    Abstract:

    Xinjiang is one of the most important highquality cotton production areas in China, and sprayers with horizontal boom and hang boom are widely used in ripening and defoliation of the cotton. Due to the close planting cultivation of cotton, in the lower part of the cotton canopy, the spraying coverage of the defoliant is low and defoliation effect is poor, which seriously affects the cotton quality. In order to improve the spraying coverage rate of the defoliant in the middle and lower cotton, a scheme for 〖JP3〗optimizing the parameters of the divider was put forward, and it was designed and developed by using Box-〖JP〗Behnken. The parameters, such as top rake of the crop divider, ground clearance, field speeds were taken as the influencing factors, and spray coverage and resistance of crop divider were used as test indices in the experimental study, obtaining the test indices though field test with test equipment designed. By using the ellipsoidal basis function neural network (EBFNN) the relationship between the indices and test factors was approached, then accurate and reliable approximation model was established. Then the multiobjective genetic algorithm was used to optimize the coverage rate and resistance of crop divider based on this approximate model in Isight software platform, the optimal parameters combination was obtained through determining the weight coefficient of the optimized solution set. Best combination of test parameters were listed below: ground clearance of the crop divider was 210mm, the top rake of the crop divider was 12°, and the operation speed of the sprayer was 4km/h. Field experiments were carried out under this condition, the results show that the average droplet coverage on cotton canopy was 22.49%, compared with the model prediction, the error range was less than 10.89%, and the root mean square value of grain resistance test was 70.9N, the error range was less than 7.78%. It can provide a reference for cotton crop divider design and spraying parameters optimization of boom sprayer, and also greatly promote the progress of cotton defoliation harvesting mechanization.

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崔龍飛,薛新宇,秦維彩.基于EBF神經(jīng)網(wǎng)絡(luò)模型的噴霧機(jī)吊噴分禾器參數(shù)優(yōu)化[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2016,47(5):62-69. Cui Longfei, Xue Xinyu, Qin Weicai. Parameter Optimization on Crop Divider of Cotton Defoliation Sprayer Based on EBFNN[J]. Transactions of the Chinese Society for Agricultural Machinery,2016,47(5):62-69.

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  • 收稿日期:2015-10-23
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  • 在線發(fā)布日期: 2016-05-10
  • 出版日期: 2016-05-10