發(fā)布時(shí)間：2018-10-26 15:08

【摘要】：異步電機(jī)因結(jié)構(gòu)簡單、性能高等優(yōu)點(diǎn)在調(diào)速領(lǐng)域中得到廣泛應(yīng)用。在其轉(zhuǎn)速閉環(huán)控制中，為獲得轉(zhuǎn)速信息而安裝的機(jī)械式速度傳感器不僅增加了系統(tǒng)的成本，而且限制了應(yīng)用范圍并降低了系統(tǒng)的可靠性。因此，進(jìn)行轉(zhuǎn)速辨識研究，實(shí)現(xiàn)無速度傳感器矢量控制系統(tǒng)具有重要的理論價(jià)值和實(shí)際意義。 論文以實(shí)驗(yàn)室國家重大科技專項(xiàng)為背景，對轉(zhuǎn)速辨識技術(shù)及無速度傳感器矢量控制系統(tǒng)展開了研究工作。概述了交流調(diào)速系統(tǒng)及無速度傳感器矢量控制的發(fā)展現(xiàn)狀；研究了矢量控制理論，推導(dǎo)了坐標(biāo)變換公式，給出了異步電機(jī)在不同坐標(biāo)系中的數(shù)學(xué)模型，分析了電壓空間矢量脈寬調(diào)制（SVPWM）技術(shù)的原理及算法實(shí)現(xiàn)；通過建立轉(zhuǎn)子磁鏈觀測器模型，分析了電壓模型中純積分環(huán)節(jié)存在的積分初值和直流漂移對磁鏈觀測精度的影響，提出了采用帶飽和反饋環(huán)節(jié)的可變截止頻率低通濾波器替代純積分環(huán)節(jié)的改進(jìn)方法；詳細(xì)闡述了模型參考自適應(yīng)系統(tǒng)（MRAS）進(jìn)行參數(shù)辨識的原理及理論依據(jù)，在此基礎(chǔ)上設(shè)計(jì)出基于轉(zhuǎn)子磁鏈觀測模型的MRAS轉(zhuǎn)速辨識算法，并證明了系統(tǒng)的穩(wěn)定性；在Matlab/Simulink平臺中分別對各個(gè)模塊進(jìn)行了建模并實(shí)現(xiàn)了完整的控制系統(tǒng)模型，通過仿真驗(yàn)證了改進(jìn)的轉(zhuǎn)速辨識算法的有效性；采用TI公司的電機(jī)專用控制芯片TMS320F28335作為硬件平臺，以高精數(shù)控實(shí)驗(yàn)室自主研發(fā)的運(yùn)動控制平臺為軟件基礎(chǔ)，根據(jù)組件設(shè)計(jì)思想實(shí)現(xiàn)了完整的無速度傳感器矢量控制系統(tǒng)，實(shí)驗(yàn)結(jié)果表明該系統(tǒng)具有良好的動態(tài)性能。 最后，，對論文中所做工作進(jìn)行了總結(jié)，文章在改進(jìn)轉(zhuǎn)子磁鏈電壓模型提高轉(zhuǎn)子磁鏈觀測精度方面做出了貢獻(xiàn)，為提高轉(zhuǎn)速辨識精度從而實(shí)現(xiàn)異步電機(jī)無速度傳感器矢量控制系統(tǒng)等后續(xù)研究工作提供了方向。
[Abstract]:Asynchronous motor is widely used in speed regulation field because of its simple structure and high performance. In the closed-loop control of its rotational speed, the mechanical speed sensor installed to obtain the rotational speed information not only increases the cost of the system, but also limits the scope of application and reduces the reliability of the system. Therefore, speed identification and speed sensorless vector control system have important theoretical and practical significance. In this paper, the speed identification technology and the speed sensorless vector control system are studied under the background of the major science and technology project of the laboratory. The development status of AC speed regulation system and speed sensorless vector control is summarized. The vector control theory is studied, the coordinate transformation formula is derived, the mathematical model of asynchronous motor in different coordinate systems is given, and the principle and algorithm realization of voltage space vector pulse width modulation (SVPWM) technology are analyzed. The rotor flux observer model is established to analyze the effect of the integral initial value and DC drift on the flux observation accuracy in the pure integral part of the voltage model. An improved method of replacing pure integral link with variable cutoff frequency low pass filter with saturation feedback link is proposed. The principle and theoretical basis of parameter identification of model reference adaptive system (MRAS) are described in detail. On this basis, an identification algorithm of MRAS speed based on rotor flux observation model is designed, and the stability of the system is proved. Each module is modeled in Matlab/Simulink platform and a complete control system model is implemented. The effectiveness of the improved speed identification algorithm is verified by simulation. Based on the motion control platform independently developed by high precision NC laboratory, a complete speed sensorless vector control system is realized based on the component design idea, using TMS320F28335, a special motor control chip of TI Company, as the hardware platform, and based on the motion control platform independently developed by the high precision NC laboratory, a complete speed sensorless vector control system is realized. The experimental results show that the system has good dynamic performance. Finally, the paper summarizes the work done in the paper, and makes a contribution to improving the rotor flux voltage model to improve the rotor flux observation accuracy. It provides a direction for further research on speed identification accuracy and speed sensorless vector control system of asynchronous motor.
【學(xué)位授予單位】：中國科學(xué)院研究生院（沈陽計(jì)算技術(shù)研究所）
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TM343

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本文編號：2296117