【摘要】：無刷直流電機具有結(jié)構(gòu)簡單、維護方便、調(diào)速性能好、運行效率高等優(yōu)點，在工業(yè)和商業(yè)領(lǐng)域得到了廣泛應(yīng)用。無刷直流電機多采用120°方波控制方式，該控制方式下電機輸出轉(zhuǎn)矩存在轉(zhuǎn)矩脈動，，導(dǎo)致電機運行噪音較大。而新型正弦波驅(qū)動無刷直流電機輸出轉(zhuǎn)矩波動小、運行噪音低，近年來應(yīng)用日益廣泛，發(fā)展較快。因此，對無刷直流電機正弦波控制技術(shù)的研究具有重要的理論意義和實用價值。 本文以無刷直流電機正弦波控制技術(shù)為研究內(nèi)容，針對正弦波控制方式的幾個關(guān)鍵問題，即轉(zhuǎn)子轉(zhuǎn)速及轉(zhuǎn)子位置估算、正弦波直接起動和相位超前角補償?shù)人惴ㄟM(jìn)行了仿真和實驗研究，其中著重研究了基于霍爾位置傳感器的轉(zhuǎn)子信息估算算法。 在分析零階估算算法、一階估算算法的基礎(chǔ)上，本文研究了一種利用灰色預(yù)測算法實現(xiàn)轉(zhuǎn)子轉(zhuǎn)速及轉(zhuǎn)子位置估算的新方法，旨在提高加減速運行過程中的轉(zhuǎn)子轉(zhuǎn)速及轉(zhuǎn)子位置估算精度。該方法采用基于GM(1,1)模型的灰色預(yù)測算法獲取霍爾扇區(qū)時間值，然后根據(jù)預(yù)測的霍爾扇區(qū)時間值計算轉(zhuǎn)子轉(zhuǎn)速及轉(zhuǎn)子位置等信息，從而實現(xiàn)無刷直流電機正弦波驅(qū)動。與零階估算算法、一階估算算法相比，在加減速運行階段，灰色預(yù)測算法所獲取的轉(zhuǎn)子位置具有更高的精度。 本文構(gòu)建了以數(shù)字信號控制器MC56F8013為主控芯片的系統(tǒng)實驗平臺，在此平臺上進(jìn)行了無刷直流電機正弦波控制系統(tǒng)性能實驗，并與方波控制方式實驗結(jié)果進(jìn)行了對比。實驗結(jié)果表明，本文所設(shè)計的正弦波控制系統(tǒng)運行穩(wěn)定可靠，性能良好，適用于對成本及噪音有嚴(yán)格要求的應(yīng)用場合。
[Abstract]:Brushless DC motor (BLDCM) has been widely used in industrial and commercial fields because of its simple structure, convenient maintenance, good speed regulation performance and high running efficiency. The brushless DC motor mostly adopts 120 擄square wave control mode. Under this control mode, the torque ripple of the motor output torque exists, resulting in the motor running noise. The new sinusoidal drive brushless DC motor has low torque ripple and low operating noise. It has been widely used and developed rapidly in recent years. Therefore, the research on sine wave control technology of brushless DC motor has important theoretical significance and practical value. In this paper, the sine wave control technology of brushless DC motor is taken as the research content, aiming at several key problems of sine wave control, that is, rotor speed and rotor position estimation. The algorithms of sinusoidal direct starting and phase leading angle compensation are simulated and experimented. The rotor information estimation algorithm based on Hall position sensor is emphatically studied. Based on the analysis of zero-order estimation algorithm and first-order estimation algorithm, a new method of rotor speed and rotor position estimation using grey prediction algorithm is studied in this paper. The purpose of this paper is to improve the accuracy of rotor speed and rotor position estimation during acceleration and deceleration. In this method, the grey prediction algorithm based on GM (1 / 1) model is used to obtain the time value of Hall sector, and then the rotor speed and rotor position are calculated according to the predicted time value of Hall sector, so as to realize the sine wave drive of brushless DC motor. Compared with the zero order estimation algorithm and the first order estimation algorithm, the rotor position obtained by the grey prediction algorithm has a higher accuracy in the acceleration and deceleration stage. In this paper, a digital signal controller MC56F8013 is used as the main control chip. The performance experiment of sine wave control system of brushless DC motor is carried out on this platform, and the experimental results are compared with those of square wave control mode. The experimental results show that the sinusoidal control system designed in this paper is stable and reliable and has good performance. It is suitable for applications with strict requirements for cost and noise.
【學(xué)位授予單位】：南京航空航天大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TM33

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本文編號：2120615