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電動機拖動的啟閉機荷重開度檢測系統(tǒng)研究
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國家自然科學基金項目(51175267,、51575281)和安徽省高等學校省級自然科學重點基金項目(KJ20160A452,、KJ2013Z193)


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

    荷重開度一體式傳感器安裝在電動機輸出軸與啟閉機的動力輸入軸之間,,可以輸出包括啟閉機實際負載引起的總力矩及用于開度檢測的計數(shù)脈沖等電信號,同時起到聯(lián)軸器的作用,。通過次級旋轉的變壓器耦合及光電耦合方法分別實現(xiàn)了傳感器內部旋轉電路的供電及總力矩與開度脈沖等電信號的非接觸傳輸。為了從一體式傳感器輸出的總力矩信號中獲取啟閉機的實際負載,,荷重檢測分為2個階段,,首先利用灰色關聯(lián)校正環(huán)節(jié)對傳感器內部彈性軸所受總力矩對應的模數(shù)轉換(ADC)輸出值進行校正,將獲得的趨于穩(wěn)定的ADC校正值作為第1階段實際輸出值,,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)方法實現(xiàn)對啟閉機負載的回歸預測,,再通過灰色關聯(lián)校正環(huán)節(jié)對該負載預測值進行校正得到最終的啟閉機實際負載,。試驗結果表明,結合灰色關聯(lián)校正方法,,采用LS—SVR的啟閉機實際負載回歸誤差在±0.6%范圍內,,利用PLSR的啟閉機負載回歸誤差在±1%范圍內。同時,,由于荷重開度一體式傳感器與電動機輸出軸直接連接,,在啟閉機升降過程中,輸出的開度計數(shù)脈沖數(shù)增加,,提高了開度檢測分辨率,,實際開度分辨率遠小于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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喬愛民,何博俠,羅少軒,黃迎輝,王艷春.電動機拖動的啟閉機荷重開度檢測系統(tǒng)研究[J].農業(yè)機械學報,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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