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無軸承異步電機(jī)及其無傳感器控制研究

發(fā)布時(shí)間:2018-10-23 16:15
【摘要】:近年來,工業(yè)發(fā)展迅速,傳統(tǒng)的普通電機(jī)已很難滿足特種電氣傳動(dòng)/驅(qū)動(dòng)系統(tǒng)的性能要求。通過兩套繞組相互作用改變氣隙磁場(chǎng)分布,使轉(zhuǎn)子同時(shí)實(shí)現(xiàn)懸浮和旋轉(zhuǎn)的無軸承電機(jī),改變了普通電機(jī)轉(zhuǎn)子的支撐方式,從而避免了機(jī)械摩擦、磨損、軸承壽命短等缺點(diǎn),目前已成為特種電氣傳動(dòng)和磁懸浮領(lǐng)域重點(diǎn)研究方向之一。無軸承異步電機(jī)(Bearingless Induction Motor,BIM)具有機(jī)械強(qiáng)度高、噪聲小、控制精度高以及齒槽脈動(dòng)轉(zhuǎn)矩低等優(yōu)點(diǎn),使其在醫(yī)療器械領(lǐng)域,無菌、無污染的食品加工領(lǐng)域,高速高精的航空航天領(lǐng)域等都有潛在的應(yīng)用價(jià)值。本文在國(guó)家自然科學(xué)基金項(xiàng)目(51475214)和江蘇省自然科學(xué)基金項(xiàng)目(BK20141301)的資助下,在分析BIM運(yùn)行機(jī)理和建立其數(shù)學(xué)模型的基礎(chǔ)上,重點(diǎn)對(duì)基于低頻信號(hào)注入法的BIM無速度傳感器控制和基于改進(jìn)電壓模型法的BIM無位置傳感器控制開展研究,具體研究?jī)?nèi)容如下:首先,對(duì)無軸承電機(jī)的國(guó)內(nèi)外研究現(xiàn)狀和應(yīng)用領(lǐng)域進(jìn)行了介紹,在此基礎(chǔ)上探討了BIM的發(fā)展方向。然后推導(dǎo)了BIM的數(shù)學(xué)模型,并構(gòu)建了基于氣隙磁場(chǎng)定向控制的BIM控制系統(tǒng)。其次,針對(duì)機(jī)械式傳感器在BIM運(yùn)行中的不足,提出了基于低頻信號(hào)注入法的BIM轉(zhuǎn)速辨識(shí)方法和基于改進(jìn)電壓模型法的BIM轉(zhuǎn)子位移辨識(shí)方法。前者利用通入的低頻電流信號(hào)來獲取轉(zhuǎn)子位置偏差角,然后由PI控制器對(duì)該角進(jìn)行調(diào)節(jié),可得到氣隙磁場(chǎng)旋轉(zhuǎn)速度,據(jù)此設(shè)計(jì)出轉(zhuǎn)速估計(jì)器。后者利用低通濾波器替換傳統(tǒng)電壓模型中的純積分環(huán)節(jié),進(jìn)而利用電感矩陣和轉(zhuǎn)子徑向位移之間的關(guān)系,設(shè)計(jì)出轉(zhuǎn)子位移估計(jì)器,從而達(dá)到準(zhǔn)確辨識(shí)轉(zhuǎn)子位移的目的。以上述兩種無傳感器方法為基礎(chǔ),搭建BIM無傳感器矢量控制系統(tǒng)并開展仿真研究。結(jié)果表明,兩種方法不僅能夠分別準(zhǔn)確檢測(cè)出轉(zhuǎn)子轉(zhuǎn)速和位移,并且都具有較好的動(dòng)、靜態(tài)性能。最后,對(duì)BIM矢量控制系統(tǒng)的硬件電路和軟件程序進(jìn)行設(shè)計(jì)。其中,硬件電路主要包括無速度傳感器接口電路、無位置傳感器接口電路和電源電路等,軟件程序主要包括主程序和中斷服務(wù)子程序等。然后以TMS320F2812 DSP芯片為核心搭建了BIM控制系統(tǒng)實(shí)驗(yàn)平臺(tái),并做了實(shí)驗(yàn)研究。結(jié)果表明,所提方法能夠快速、準(zhǔn)確的檢測(cè)出轉(zhuǎn)子轉(zhuǎn)速和轉(zhuǎn)子位移,達(dá)到了預(yù)期的效果。
[Abstract]:In recent years, with the rapid development of industry, it is difficult to meet the performance requirements of special electrical drive / drive system. Through the interaction of two sets of windings, the air gap magnetic field distribution is changed, so that the rotor can be suspended and rotated simultaneously, and the supporting mode of the ordinary motor rotor is changed, thus avoiding the shortcomings of mechanical friction, wear, short bearing life and so on. At present, it has become one of the key research directions in the field of special electrical transmission and magnetic levitation. The bearingless asynchronous motor (Bearingless Induction Motor,BIM) has the advantages of high mechanical strength, low noise, high control precision and low torque ripple torque, which makes it in the field of medical devices, sterile and pollution-free food processing. The high-speed and high-precision aeronautics and astronautics field all have the potential application value. Supported by the National Natural Science Foundation of China (51475214) and the Natural Science Foundation of Jiangsu Province (BK20141301), this paper analyzes the operation mechanism of BIM and establishes its mathematical model. The research focuses on BIM sensorless control based on low frequency signal injection method and BIM sensorless control based on improved voltage model method. The specific research contents are as follows: first of all, The research status and application field of bearingless motor at home and abroad are introduced, and the development direction of BIM is discussed. Then the mathematical model of BIM is derived and the BIM control system based on air-gap field oriented control is constructed. Secondly, aiming at the shortage of mechanical sensor in BIM operation, the identification method of BIM speed based on low frequency signal injection method and the method of BIM rotor displacement identification based on improved voltage model method are proposed. In the former, the rotor position deviation angle is obtained by the input low frequency current signal, and then adjusted by the PI controller, the rotation speed of the air-gap magnetic field can be obtained, and the speed estimator is designed accordingly. The latter uses the low-pass filter to replace the pure integral link in the traditional voltage model and then designs a rotor displacement estimator using the relationship between the inductance matrix and the rotor radial displacement so as to accurately identify the rotor displacement. Based on the above two sensorless methods, the BIM sensorless vector control system is built and simulated. The results show that the two methods can not only accurately detect rotor speed and displacement, but also have better dynamic and static performance. Finally, the hardware circuit and software program of BIM vector control system are designed. The hardware circuit includes speed sensorless interface circuit, position sensorless interface circuit and power supply circuit, etc. The software program mainly includes main program and interrupt service subroutine. Then the experimental platform of BIM control system is built with TMS320F2812 DSP chip as the core, and the experimental research is done. The results show that the proposed method can detect rotor speed and displacement quickly and accurately, and achieve the desired results.
【學(xué)位授予單位】:江蘇大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2017
【分類號(hào)】:TM343

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