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電動(dòng)轉(zhuǎn)籠二次殘差補(bǔ)償霧化模型建立與試驗(yàn)
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國(guó)家重點(diǎn)研發(fā)計(jì)劃項(xiàng)目(2017YFD0701004)、北京市科技新星計(jì)劃項(xiàng)目(Z181100006218029)、國(guó)家自然科學(xué)基金青年基金項(xiàng)目(31701315)和國(guó)家自然科學(xué)基金項(xiàng)目(31771674)


Establishment and Experiment of Quadratic Residual Compensation Atomization Model of Electricity Atomizer
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    摘要:

    為解決航空施藥作業(yè)時(shí)霧滴粒徑變量精細(xì)控制的難題,采用二次回歸正交試驗(yàn)與機(jī)器學(xué)習(xí)相結(jié)合的方法建立了二次殘差補(bǔ)償霧滴粒徑模型。在以Aerial-E型電動(dòng)轉(zhuǎn)籠霧化器為控制對(duì)象的霧化試驗(yàn)平臺(tái)上進(jìn)行了二次回歸正交試驗(yàn),分析了霧滴粒徑與風(fēng)速、施藥流速、霧化器轉(zhuǎn)速之間的相關(guān)性,建立了霧滴粒徑模型;為了提高霧滴粒徑模型預(yù)測(cè)精度,添加補(bǔ)償因子建立了第1次優(yōu)化霧滴粒徑補(bǔ)償模型;利用機(jī)器學(xué)習(xí)構(gòu)建了第2次殘差預(yù)測(cè)模型,將第2次殘差預(yù)測(cè)模型與第1次優(yōu)化霧滴粒徑補(bǔ)償模型線性疊加,得到了二次殘差補(bǔ)償霧滴粒徑模型。為驗(yàn)證二次殘差補(bǔ)償霧滴粒徑模型的有效性,進(jìn)行了模型驗(yàn)證試驗(yàn)與對(duì)比試驗(yàn),試驗(yàn)結(jié)果表明,二次殘差補(bǔ)償霧滴粒徑模型預(yù)測(cè)偏差絕對(duì)值最大為10.78%,其預(yù)測(cè)值與測(cè)量值的決定系數(shù)R2為0.95,比無(wú)補(bǔ)償霧滴粒徑模型提高了0.06,比第1次優(yōu)化霧滴粒徑補(bǔ)償模型提高了0.05。將二次殘差補(bǔ)償霧滴粒徑模型進(jìn)行了等效變形,得到了電動(dòng)轉(zhuǎn)籠二次殘差補(bǔ)償霧化模型,基于該模型設(shè)計(jì)了電動(dòng)轉(zhuǎn)籠霧化系統(tǒng),并進(jìn)行了系統(tǒng)應(yīng)用試驗(yàn),結(jié)果表明,該系統(tǒng)霧滴粒徑設(shè)定值與測(cè)量值的決定系數(shù)R2為0.94,霧滴相對(duì)分布跨度均小于1.6,實(shí)現(xiàn)了在恒定風(fēng)速、施藥流速條件下霧滴粒徑的控制。本研究結(jié)果可實(shí)現(xiàn)航空施藥作業(yè)時(shí)霧滴粒徑變量精細(xì)控制。

    Abstract:

    In order to solve the problem of precise control of droplet diameter variables during aviation spray, the quadratic regression orthogonal experiment and machine learning was used to establish the quadratic residual compensation droplet diameter model. With Aerial-E electricity atomizer as the control object, the quadratic regression orthogonal experiment was carried out on the atomization experiment platform to analyze the correlation between the droplet diameter and the wind speed, flow rate, atomizer speed, and droplet diameter model was established. In order to improve the prediction accuracy, a compensation factor was added to establish the first optimized droplet diameter compensation model. To further improve the prediction accuracy, the second residual prediction model was established by machine learning, the second residual prediction model and the first optimized droplet diameter compensation model were superimposed linearly to obtain the quadratic residual compensation droplet diameter model. In order to verify the validity of the quadratic residual compensation droplet diameter model, the model validation experiment and the comparative experiment were carried out, the results showed that the maximum deviation predicted by the quadratic residual compensation droplet diameter model was 10.78%, the R2 between the predicted and measured values of the quadratic residual compensation droplet diameter model was 0.95, which was 0.06 higher than that of the droplet diameter model and 0.05 higher than that of the first optimized droplet diameter compensation model. The quadratic residual compensation atomization model of electricity atomizer was obtained by equivalent deformation of the quadratic residual compensation droplet diameter model, and an electricity atomization system was designed based on the model. A system application experiment was carried out to verify the practicality of the system, the results showed that the R2 between the expected and the measured value of the droplet diameter was 0.94, and the relative span of droplet was less than 1.6, which could realize the control of the droplet diameter under the condition of stable wind speed and flow rate. The results can realize precise control of droplet diameter variables during aviation spray. 

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趙春江,柴舒帆,陳立平,張瑞瑞,李龍龍,唐青.電動(dòng)轉(zhuǎn)籠二次殘差補(bǔ)償霧化模型建立與試驗(yàn)[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2020,51(4):19-27,37. ZHAO Chunjiang, CHAI Shufan, CHEN Liping, ZHANG Ruirui, LI Longlong, TANG Qing. Establishment and Experiment of Quadratic Residual Compensation Atomization Model of Electricity Atomizer[J]. Transactions of the Chinese Society for Agricultural Machinery,2020,51(4):19-27,37.

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  • 收稿日期:2019-12-05
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  • 在線發(fā)布日期: 2020-04-10
  • 出版日期: 2020-04-10
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