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電動(dòng)機(jī)拖動(dòng)的啟閉機(jī)荷重開(kāi)度檢測(cè)系統(tǒng)研究
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國(guó)家自然科學(xué)基金項(xiàng)目(51175267、51575281)和安徽省高等學(xué)校省級(jí)自然科學(xué)重點(diǎn)基金項(xiàng)目(KJ20160A452,、KJ2013Z193)


Load and Opening Detection System for Hoist Driven by Motor
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    摘要:

    荷重開(kāi)度一體式傳感器安裝在電動(dòng)機(jī)輸出軸與啟閉機(jī)的動(dòng)力輸入軸之間,,可以輸出包括啟閉機(jī)實(shí)際負(fù)載引起的總力矩及用于開(kāi)度檢測(cè)的計(jì)數(shù)脈沖等電信號(hào),,同時(shí)起到聯(lián)軸器的作用,。通過(guò)次級(jí)旋轉(zhuǎn)的變壓器耦合及光電耦合方法分別實(shí)現(xiàn)了傳感器內(nèi)部旋轉(zhuǎn)電路的供電及總力矩與開(kāi)度脈沖等電信號(hào)的非接觸傳輸,。為了從一體式傳感器輸出的總力矩信號(hào)中獲取啟閉機(jī)的實(shí)際負(fù)載,,荷重檢測(cè)分為2個(gè)階段,,首先利用灰色關(guān)聯(lián)校正環(huán)節(jié)對(duì)傳感器內(nèi)部彈性軸所受總力矩對(duì)應(yīng)的模數(shù)轉(zhuǎn)換(ADC)輸出值進(jìn)行校正,將獲得的趨于穩(wěn)定的ADC校正值作為第1階段實(shí)際輸出值,,并將該輸出值作為輸入變量,,在第2階段,分別利用最小二乘支持向量回歸(LS—SVR)和偏最小二乘回歸(PLSR)方法實(shí)現(xiàn)對(duì)啟閉機(jī)負(fù)載的回歸預(yù)測(cè),,再通過(guò)灰色關(guān)聯(lián)校正環(huán)節(jié)對(duì)該負(fù)載預(yù)測(cè)值進(jìn)行校正得到最終的啟閉機(jī)實(shí)際負(fù)載,。試驗(yàn)結(jié)果表明,結(jié)合灰色關(guān)聯(lián)校正方法,,采用LS—SVR的啟閉機(jī)實(shí)際負(fù)載回歸誤差在±0.6%范圍內(nèi),利用PLSR的啟閉機(jī)負(fù)載回歸誤差在±1%范圍內(nèi),。同時(shí),,由于荷重開(kāi)度一體式傳感器與電動(dòng)機(jī)輸出軸直接連接,在啟閉機(jī)升降過(guò)程中,,輸出的開(kāi)度計(jì)數(shù)脈沖數(shù)增加,,提高了開(kāi)度檢測(cè)分辨率,實(shí)際開(kāi)度分辨率遠(yuǎn)小于1mm,。

    Abstract:

    Installed between the motor’s shaft and the hoist power input one, an integrate sensor could output not only the total torque signal related to the change for hoist’s load but also 60 pulses per revolution for motor’s shaft. The hoist’s opening could be calculated by associating the number of those pulses with some parameters of the hoist. In the integrate sensor, those rotary circuits could be powered from the rotary secondary of transformer whose primary was fixed with the sensor’s metal shell, which was used as a part of magnetic core of the transformer. By using the photoelectric coupling method, non-contact transmission for the sensor’s signals about the total torque and the opening was realized. Besides the torque caused by constant load, the total one also included some other torques shown as fluctuation and unsteadiness because of those factors, such as friction existing in the hoist’s mechanical structure. In order to get the actual load from the total torque signal, two phases were selected for hoist’s load detection. Firstly, the analog-to-digital converter (ADC) output value corresponding to the total torque was corrected though gray correlation analysis, and the corrected ADC value whose fluctuation and unsteadiness had been greatly reduced was selected to be as the result of the first phase. In the second phase, by using the result of the first phase as input variable, the hoist’s load predicted model was founded according to the least square support vector regression (LS—SVR) or partial least square regression (PLSR). Taking the first predicted value as the expected data sequence and implementing the correction based on the gray correlation analysis again, the hoist actual load was finally attained. Experiment result showed that the error of the result of load detection was less than ±0.6% for LS—SVR and below ±1% for PLSR model cooperated with the correction based on the gray correlation analysis. Meanwhile, since the integrate sensor was directly installed between the motor shaft and the hoist one, the number of pulses would be greatly increased during the hoist’s moving up and down which could well improve the opening detection resolution. The resolution of the hoist opening detection was far below 1mm.

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喬愛(ài)民,何博俠,羅少軒,黃迎輝,王艷春.電動(dòng)機(jī)拖動(dòng)的啟閉機(jī)荷重開(kāi)度檢測(cè)系統(tǒng)研究[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2017,48(1):386-396. QIAO Aimin, HE Boxia, LUO Shaoxuan, HUANG Yinghui, WANG Yanchun. Load and Opening Detection System for Hoist Driven by Motor[J]. Transactions of the Chinese Society for Agricultural Machinery,2017,48(1):386-396.

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  • 收稿日期:2016-11-08
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  • 在線發(fā)布日期: 2017-01-10
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