本文關(guān)鍵詞：三相異步電動機無速度傳感器矢量控制系統(tǒng)的研究　出處：《華南理工大學(xué)》2014年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 異步電動機 矢量控制 磁鏈辨識 轉(zhuǎn)速辨識 參數(shù)辨識

【摘要】：隨著交流電機變頻調(diào)速技術(shù)的不斷發(fā)展與完善，交流傳動已廣泛應(yīng)用于工業(yè)控制中，而矢量控制技術(shù)在交流調(diào)速中發(fā)揮著重大的作用。因此，研制出一款高性能的無速度傳感器矢量控制系統(tǒng)具有重要的現(xiàn)實意義與廣泛的市場需求。 首先，，本文在感應(yīng)電機矢量控制理論的基礎(chǔ)上分析了磁鏈觀測模型中電壓模型的優(yōu)缺點。為了克服電壓模型的缺點，本文提出了正交反饋補償磁鏈觀測模型與電壓電流混合磁鏈觀測模型。正交反饋補償磁鏈觀測模型用低通濾波器代替電壓模型中的純積分環(huán)節(jié)，并對低通濾波器引起的幅值和相位誤差進行補償。電壓電流混合磁鏈觀測模型通過設(shè)置合適PI參數(shù)使得電壓模型與電流模型分別在高速和低速時起主導(dǎo)作用，充分發(fā)揮兩者的優(yōu)點。其次，本文分析了直接計算法估算轉(zhuǎn)子轉(zhuǎn)速的基本原理，該方法簡單但嚴重依賴于電機參數(shù)。本文又分析了基于轉(zhuǎn)子磁鏈、反電動勢和無功功率的MRAS模型，其中基于反電動勢的MRAS模型對參數(shù)的變化具有較強的魯棒性并且穩(wěn)定性好。本文利用小信號模型對基于反電動勢的MRAS模型的PI調(diào)節(jié)器參數(shù)進行了最優(yōu)化設(shè)計。再次，本文提出了一種全自動化離線辨識電機參數(shù)的方法，該方法無須功率表和變壓器等工具，操作簡便，辨識精度較高。最后，在Matlab/Simulink上對本文提到的各種辨識模型進行了仿真分析。并基于TMS320F28335DSP芯片設(shè)計了矢量控制系統(tǒng)的軟硬件，在一臺15kW鼠籠式三相異步電機上進行了實驗，驗證了矢量控制系統(tǒng)的各項性能。
[Abstract]:With the continuous development and improvement of AC motor variable frequency speed regulation technology, AC drive has been widely used in industrial control, and vector control technology plays a significant role in AC speed regulation. The development of a high performance speed sensorless vector control system has important practical significance and extensive market demand. Firstly, based on the vector control theory of induction motor, the advantages and disadvantages of voltage model in flux flux observation model are analyzed in order to overcome the shortcomings of voltage model. In this paper, the orthogonal feedback compensation flux observation model and the voltage and current mixed flux observation model are proposed. The low pass filter is used in the orthogonal feedback compensation flux observation model instead of the pure integral link in the voltage model. And the amplitude and phase error caused by the low-pass filter is compensated. By setting appropriate Pi parameters, the voltage model and the current model play the leading role at high speed and low speed respectively. Secondly, this paper analyzes the basic principle of estimating rotor speed by direct calculation method, which is simple but heavily dependent on motor parameters. This paper also analyzes the rotor flux based on the rotor flux. MRAS model of backEMF and reactive power. The MRAS model based on backEMF is robust and stable to the change of parameters. In this paper, the Pi regulator parameters of MRAS model based on backEMF are studied by using small signal model. Optimal design. Again. In this paper, a fully automatic off-line identification method for motor parameters is proposed. The method does not require power meter and transformer, and is easy to operate and has high identification accuracy. The identification models mentioned in this paper are simulated and analyzed on Matlab/Simulink, and the software and hardware of vector control system are designed based on TMS320F28335DSP chip. . Experiments were carried out on a 15kW squirrel-cage three-phase asynchronous motor, and the performance of the vector control system was verified.
【學(xué)位授予單位】：華南理工大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TM343.2;TP273

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