【摘要】：隨著分布式發(fā)電系統(tǒng)的廣泛應(yīng)用，與并網(wǎng)變換器電能質(zhì)量相關(guān)的問(wèn)題受到了越來(lái)越多的關(guān)注。逆變器并網(wǎng)時(shí)會(huì)受到眾多因素的干擾，而其中以周期性擾動(dòng)居多。為了抑制周期性擾動(dòng)，通常采用基于內(nèi)模原理的重復(fù)控制技術(shù)，在控制環(huán)節(jié)中通過(guò)前饋一個(gè)延時(shí)時(shí)間為電網(wǎng)基波周期的延時(shí)環(huán)節(jié)，構(gòu)成重復(fù)控制內(nèi)模，從而實(shí)現(xiàn)對(duì)并網(wǎng)電流中基波信號(hào)的無(wú)靜差跟蹤。然而在實(shí)際應(yīng)用場(chǎng)合，數(shù)字控制中的延時(shí)時(shí)間只能為系統(tǒng)采樣周期的整數(shù)倍，一旦實(shí)際電網(wǎng)頻率發(fā)生變化，系統(tǒng)采樣頻率和電網(wǎng)頻率的比值就不能保持為整數(shù)。此時(shí)若仍然采用重復(fù)控制技術(shù)，系統(tǒng)的穩(wěn)態(tài)跟蹤性能和諧波抑制能力將會(huì)明顯降低。 針對(duì)傳統(tǒng)重復(fù)控制的缺點(diǎn)，本文研究了一種以FIR濾波器為內(nèi)模參數(shù)的改進(jìn)型重復(fù)控制系統(tǒng)，并研究一種新型的FIR濾波器參數(shù)設(shè)計(jì)方法。以該方法設(shè)計(jì)的FIR濾波器在中低頻段具有線性相頻特性和低通濾波特性，能夠模擬非整數(shù)延時(shí)環(huán)節(jié)，，從而使重復(fù)控制系統(tǒng)內(nèi)模的諧振頻率始終能夠跟隨電網(wǎng)的基波和諧波頻率，使得改進(jìn)重復(fù)控制系統(tǒng)能夠在中低頻段逼近理想重復(fù)控制的控制效果。在上述理論分析的基礎(chǔ)上，利用MATLAB仿真軟件進(jìn)行仿真，驗(yàn)證本文提出的改進(jìn)型重復(fù)控制方法的有效性。 最后，搭建了一臺(tái)由DSP控制的LCL型三相并網(wǎng)逆變器實(shí)驗(yàn)平臺(tái)，在此平臺(tái)上對(duì)改進(jìn)型重復(fù)控制方法進(jìn)行了實(shí)驗(yàn)驗(yàn)證。實(shí)驗(yàn)結(jié)果表明，該方法不僅能夠在三相平衡系統(tǒng)及帶非線性負(fù)載的三相平衡系統(tǒng)下有效的降低系統(tǒng)的穩(wěn)態(tài)跟蹤誤差和消除入網(wǎng)電流中的諧波，還能夠在頻率變比不固定的情況下使控制系統(tǒng)依然具有比較理想的控制效果，彌補(bǔ)了傳統(tǒng)控制方法頻率適應(yīng)能力不足的缺點(diǎn)。
[Abstract]:With the wide application of distributed generation system, more and more attention has been paid to the problems related to the power quality of grid-connected converters. Inverter grid-connected will be disturbed by many factors, among which the periodic disturbance is the most. In order to suppress the periodic disturbance, the repetitive control technique based on the internal model principle is usually used. In the control link, the repetitive control internal model is formed by feedforward a delay link in which the delay time is the fundamental wave period of the power network. Thus, the tracking of fundamental signal in grid-connected current without static error is realized. However, in practical applications, the delay time in digital control can only be an integer multiple of the sampling period of the system. Once the actual power network frequency changes, the ratio of the system sampling frequency to the power network frequency cannot be maintained as an integer. In this case, the steady-state tracking performance and harmonic suppression ability of the system will be significantly reduced if the repetitive control technique is still adopted. Aiming at the shortcoming of traditional repetitive control, an improved repetitive control system with FIR filter as internal mode parameter is studied in this paper, and a new design method of FIR filter parameter is studied. The FIR filter designed by this method has the characteristics of linear phase frequency and low pass filter in the low and medium frequency band, which can simulate the non-integer delay link, so that the resonant frequency of the internal model of the repetitive control system can always follow the fundamental and harmonic frequencies of the power network. The improved repetitive control system can approach the control effect of ideal repetitive control in low and medium frequency band. Based on the above theoretical analysis, the MATLAB simulation software is used to verify the effectiveness of the improved repetitive control method proposed in this paper. Finally, an experimental platform of LCL type three-phase grid-connected inverter controlled by DSP is built, and the improved repetitive control method is verified by experiments on this platform. The experimental results show that the proposed method can effectively reduce the steady-state tracking error and eliminate the harmonics in the three-phase balance system and the three-phase balanced system with nonlinear load. It can also make the control system have ideal control effect under the condition that the frequency changing ratio is not fixed, which makes up for the shortcoming of the traditional control method which has insufficient frequency adaptability.
【學(xué)位授予單位】：燕山大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TM464

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