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背靠背三電平PWM變換器矢量控制系統(tǒng)研究

發(fā)布時(shí)間:2018-09-11 16:02
【摘要】:本文針對(duì)交流異步電機(jī)驅(qū)動(dòng),對(duì)背靠背三電平脈沖寬度調(diào)制(Pulse Width Modulation, PWM)變換器矢量控制系統(tǒng)進(jìn)行研究。 對(duì)三種常用的快速SVPWM算法進(jìn)行分析與比較,在此基礎(chǔ)上提出了一種計(jì)算量小、易于數(shù)字實(shí)現(xiàn)的任意多電平SVPWM通用算法。并將所提的通用SVPWM算法在現(xiàn)場(chǎng)可編程門陣列(Field Programmable Gate Array,FPGA)上設(shè)計(jì)實(shí)現(xiàn)。 針對(duì)單側(cè)二極管中點(diǎn)箝位型三電平PWM變換器,提出一種新的混合SVPWM的電容中點(diǎn)電位平衡控制算法。根據(jù)每個(gè)扇區(qū)不同的小矢量作用,并結(jié)合電容電壓偏差量及三相電流的極性來設(shè)置不同的小矢量作用時(shí)間調(diào)節(jié)因子,然后根據(jù)三相電流的變化情況使調(diào)制在常規(guī)的SVPWM和基于虛擬矢量的SVPWM之間進(jìn)行切換,以實(shí)現(xiàn)對(duì)中點(diǎn)電位進(jìn)行分扇區(qū)的精細(xì)控制。 針對(duì)背靠背的二極管中點(diǎn)箝位型三電平PWM變換器電容中點(diǎn)電壓平衡控制問題,提出一種基于雙側(cè)信號(hào)的中點(diǎn)電位平衡綜合預(yù)測(cè)控制算法。該算法對(duì)雙側(cè)的三相電流和直流側(cè)電容電壓進(jìn)行采樣和預(yù)測(cè),進(jìn)而給出一個(gè)能夠表征電容中點(diǎn)電壓預(yù)期控制指標(biāo)的品質(zhì)函數(shù)。通過遞推運(yùn)算使品質(zhì)函數(shù)取最小值,從而獲得下一個(gè)調(diào)制周期最佳中點(diǎn)電壓控制的冗余矢量時(shí)間分配因子。 在已有的三電平PWM整流器DPC的基礎(chǔ)上,提出了在一個(gè)開關(guān)周期內(nèi)具有雙非零電壓矢量輸出的三電平PWM整流器DPC算法。該算法通過對(duì)下一時(shí)刻的有功和無功進(jìn)行預(yù)測(cè),每次選擇對(duì)有功和無功調(diào)節(jié)作用相反的兩個(gè)電壓矢量進(jìn)行輸出,并通過一個(gè)分配因子對(duì)兩個(gè)電壓矢量的作用時(shí)間進(jìn)行分配,從而實(shí)現(xiàn)了對(duì)功率的精細(xì)調(diào)整。 基于遞推最小二乘法,對(duì)三電平變頻器的電機(jī)參數(shù)靜態(tài)辨識(shí)進(jìn)行建模和仿真,給出了中點(diǎn)電位不平衡與平衡的情況下,電機(jī)參數(shù)靜態(tài)辨識(shí)的仿真結(jié)果。提出一種交流異步電機(jī)電機(jī)參數(shù)動(dòng)態(tài)在線辨識(shí)方法,通過在負(fù)載恒定時(shí)控制電機(jī)速度使其保持恒定來消除轉(zhuǎn)子磁鏈耦合項(xiàng)對(duì)參數(shù)動(dòng)態(tài)在線辨識(shí)的影響,從而能夠利用遞推最小二乘法對(duì)電機(jī)參數(shù)進(jìn)行在線計(jì)算,以達(dá)到電機(jī)參數(shù)動(dòng)態(tài)在線辨識(shí)的實(shí)時(shí)性和高精確度要求。其中電機(jī)恒定速度的保持又是基于對(duì)轉(zhuǎn)子磁鏈和轉(zhuǎn)矩電流的恒定控制來實(shí)現(xiàn)。 提出了一種能夠使系統(tǒng)保持固定的開關(guān)頻率和采樣頻率且隨機(jī)效果不依賴于零矢量的三電平隨機(jī)SVPWM方法。通過隨機(jī)調(diào)整矢量在每個(gè)三角載波的上升段和下降段的時(shí)間分配來實(shí)現(xiàn)隨機(jī)SVPWM,并設(shè)計(jì)一種三重隨機(jī)化M序列來增強(qiáng)其隨機(jī)效果。該方法可使輸出的線電壓和相電流頻譜在較寬的頻帶范圍內(nèi)均勻分布,在整數(shù)倍開關(guān)頻率處的諧波幅值也大大降低。
[Abstract]:In this paper, the vector control system of back-to-back three-level pulse width modulation (PWM) converter driven by AC asynchronous motor is studied.
Based on the analysis and comparison of three commonly used fast SVPWM algorithms, a general algorithm for arbitrary multilevel SVPWM is proposed, which is easy to realize digitally with less computation. The proposed algorithm is designed and implemented on Field Programmable Gate Array (FPGA).
A novel neutral-point potential balance control algorithm for single-side diode neutral-point-clamped three-level PWM converter based on hybrid SVPWM is proposed. According to the different small vector action in each sector, different small vector action time adjustment factors are set according to the capacitor voltage deviation and the polarity of three-phase current. The variation of the current makes the modulation switch between the conventional SVPWM and the SVPWM based on the virtual vector to realize the fine sector control of the midpoint potential.
Aiming at the problem of neutral-point voltage balance control of capacitor in back-to-back diode neutral-point clamped three-level PWM converter, an integrated predictive control algorithm for neutral-point potential balance based on bilateral signals is proposed. The quality function of the voltage expectation control index is minimized by recursive operation, and the redundant vector time allocation factor of the best midpoint voltage control in the next modulation period is obtained.
Based on the existing DPC of three-level PWM rectifier, a DPC algorithm of three-level PWM rectifier with dual non-zero voltage vector output in one switching cycle is proposed. By predicting the active and reactive power at the next moment, the DPC algorithm selects two voltage vectors with opposite active and reactive power regulation at each time and passes through. A distribution factor is used to distribute the action time of the two voltage vectors, thus realizing fine power adjustment.
Based on the recursive least squares method, the static identification of motor parameters of three-level inverter is modeled and simulated. The simulation results of static identification of motor parameters under unbalanced and balanced neutral-point potentials are given. A dynamic on-line identification method of motor parameters of AC asynchronous motor is proposed. The motor speed is controlled by constant load. By keeping the rotor flux coupling constant, the influence of rotor flux coupling term on on-line parameter identification can be eliminated, and the motor parameters can be calculated on-line using the recursive least squares method to meet the real-time and high accuracy requirements of on-line parameter identification. The constant control of the torque current is achieved.
A three-level stochastic SVPWM method is proposed, in which the switching frequency and sampling frequency can be kept constant and the random effect does not depend on zero vectors. The stochastic SVPWM is realized by randomly adjusting the time allocation between the rising and falling phases of each triangular carrier. A triple randomized M sequence is designed to enhance the randomness of the system. This method can make the output line voltage and phase current spectrum distribute uniformly in a wide frequency band and greatly reduce the harmonic amplitude at integer multiple switching frequency.
【學(xué)位授予單位】:中南大學(xué)
【學(xué)位級(jí)別】:博士
【學(xué)位授予年份】:2014
【分類號(hào)】:TM46

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