本文選題：間接矩陣變換器　切入點：輸入電流諧波　出處：《北方工業(yè)大學(xué)》2017年碩士論文　論文類型：學(xué)位論文

【摘要】：間接矩陣變換器(Indirect Matrix Converter,IMC)具有正弦輸入輸出、網(wǎng)側(cè)單位功率因數(shù)、能量雙向流動、高功率密度等一系列優(yōu)良性能,具有極大的優(yōu)勢應(yīng)用于航空航天、軍事裝備等系統(tǒng)中。但其輸入輸出相互影響,控制結(jié)構(gòu)復(fù)雜。本文深入分析其工作機理,研究優(yōu)化控制策略,以實現(xiàn)系統(tǒng)的整體性能優(yōu)化。本文首先采用異步電機矢量控制和IMC間接空間矢量調(diào)制組合的傳統(tǒng)控制策略,針對IMC輸入諧波成分復(fù)雜進而惡化網(wǎng)側(cè)電能質(zhì)量的問題,基于兩種調(diào)制方法,通過引入脈沖重心思想,綜合考慮不同脈寬調(diào)制策略下脈沖幅值、寬度以及分布位置等特征,分析明確了輸入電流諧波的主要成分及含量。并提出降低諧波頻率成分的脈寬分布規(guī)律,即逆變電路電壓矢量脈寬比例對稱分布,為構(gòu)建出優(yōu)化PWM脈沖序列提供理論依據(jù)。本文進一步引入簡單直觀、動態(tài)性能較好的模型預(yù)測思想,針對IMC模型預(yù)測控制策略下雙向開關(guān)換流過程復(fù)雜冗長的問題,提出一種簡化的零電流換流方法。通過在逆變側(cè)單個控制周期的始端固定時間的零矢量脈沖,及整流側(cè)最優(yōu)開關(guān)狀態(tài)固定時間延遲作用,實現(xiàn)了雙向開關(guān)兩步零電流換流,縮短了換流時間且無需精確電流方向檢測,換流簡單可靠。本文針對IMC模型預(yù)測控制策略下因檢測量眾多導(dǎo)致采樣調(diào)理成本高和時延長等問題,基于輸入濾波器數(shù)學(xué)模型設(shè)計輸入電壓觀測器和新型網(wǎng)側(cè)電流預(yù)測模型,實現(xiàn)網(wǎng)側(cè)無功功率預(yù)測與輸入電壓的解耦,降低預(yù)測模型對觀測值的依賴。在實現(xiàn)系統(tǒng)良好輸入輸出特性的同時簡化了 AD采樣、數(shù)字濾波和處理延時。最后,搭建了 IMC-IM調(diào)速系統(tǒng)實驗平臺,并實現(xiàn)了矢量控制和模型預(yù)測控制策略的測試實驗。仿真和實驗結(jié)果驗證了本文提出的降低諧波成分的脈寬分布規(guī)律及基于輸入電壓觀測的ZCC-MPC方法的正確性和有效性。
[Abstract]:The indirect Matrix converter has a series of excellent performances, such as sinusoidal input and output, unit power factor on the network side, bidirectional energy flow, high power density and so on. In military equipment and other systems, however, the input and output influence each other, and the control structure is complex. This paper deeply analyzes its working mechanism, studies the optimized control strategy, In order to realize the overall performance optimization of the system, this paper firstly adopts the traditional control strategy of the combination of asynchronous motor vector control and IMC indirect space vector modulation, aiming at the problem that the IMC input harmonic components are complex and then worsen the power quality of the network side. Based on two modulation methods, by introducing the idea of pulse center of gravity, the characteristics of pulse amplitude, width and distribution under different pulse width modulation strategies are considered synthetically. The main components and contents of the input current harmonics are analyzed, and the distribution law of pulse width of the harmonic frequency component is proposed, that is, the proportional symmetrical distribution of the voltage vector pulse width of the inverter circuit. In order to provide the theoretical basis for optimizing the PWM pulse sequence, this paper further introduces a simple and intuitive model prediction idea with better dynamic performance, aiming at the complicated and lengthy two-way switch commutation process under the IMC model predictive control strategy. A simplified zero-current commutation method is proposed. The two-step zero-current commutation is realized by the zero-vector pulse at the beginning end of a single control cycle on the inverter side and the optimal switching state fixed time delay at the rectifier side. The commutation time is shortened without the need for accurate current direction detection, and the commutation is simple and reliable. This paper aims at the problems of high sampling and conditioning cost and time prolongation due to the large number of detection measurements under predictive control strategy of IMC model. Based on the mathematical model of the input filter, the input voltage observer and the new current prediction model are designed to decouple the reactive power prediction from the input voltage. It can simplify AD sampling, digital filtering and processing delay while realizing the good input and output characteristics of the system. Finally, the experimental platform of IMC-IM speed regulating system is built. The experiments of vector control and model predictive control are carried out. The simulation and experimental results verify the correctness and effectiveness of the proposed ZCC-MPC method based on input voltage observation to reduce the pulse width distribution of harmonic components.
【學(xué)位授予單位】：北方工業(yè)大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TM46

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