基于神經(jīng)網(wǎng)絡(luò)控制的有源電力濾波器研究
發(fā)布時(shí)間:2018-07-27 17:44
【摘要】:隨著電力電子技術(shù)的快速發(fā)展,其應(yīng)用也越來(lái)越廣泛,由此導(dǎo)致電網(wǎng)污染愈發(fā)嚴(yán)重。有源電力濾波器(APF)是治理電網(wǎng)諧波的一種行之有效的方法,是電能質(zhì)量控制領(lǐng)域中的研究熱點(diǎn)。近些年來(lái),將現(xiàn)代控制理論應(yīng)用于APF研究受到了人們的重視,其中神經(jīng)網(wǎng)絡(luò)以其較強(qiáng)的非線性映射能力為APF研究開(kāi)辟了新徑。在前人研究基礎(chǔ)上,將神經(jīng)網(wǎng)絡(luò)與PI控制理論結(jié)合設(shè)計(jì)APF控制器,對(duì)硬件電路進(jìn)行合理設(shè)計(jì)。本文主要研究任務(wù)與結(jié)果: 1.分析APF研究現(xiàn)狀與特點(diǎn)及研究中存在的問(wèn)題,總結(jié)比較諧波檢測(cè)和電流控制方法的優(yōu)缺點(diǎn),在APF設(shè)計(jì)中采用神經(jīng)網(wǎng)絡(luò)進(jìn)行諧波檢測(cè)。 2.深入分析有源電力濾波器原理,建立三相并聯(lián)型APF數(shù)學(xué)模型,在采用多元自適應(yīng)神經(jīng)網(wǎng)絡(luò)進(jìn)行諧波電流檢測(cè)的同時(shí)結(jié)合PI調(diào)節(jié)對(duì)直流側(cè)電壓進(jìn)行有效控制,采用三角載波實(shí)現(xiàn)電流跟蹤控制。 3.設(shè)計(jì)并聯(lián)型三相四線制APF系統(tǒng),建立其電路模型,進(jìn)行硬件和軟件設(shè)計(jì)。為提高裝置實(shí)時(shí)性設(shè)計(jì)AD同步采集電路,將硬件互鎖設(shè)計(jì)與軟件死區(qū)設(shè)計(jì)結(jié)合提高裝置安全可靠性;設(shè)計(jì)硬件鎖相環(huán)提高補(bǔ)償效果;為使濾波系統(tǒng)取得更好補(bǔ)償性能,設(shè)計(jì)輸出濾波器以對(duì)系統(tǒng)裝置的輸出電流中的高次諧波予以有效抑制。 4.采用Matlab7.1仿真軟件對(duì)系統(tǒng)進(jìn)行仿真,在仿真的基礎(chǔ)上以DSP為核心控制器對(duì)系統(tǒng)實(shí)驗(yàn)研究,搭建APF試驗(yàn)裝置。仿真和實(shí)驗(yàn)結(jié)果表明采用所改進(jìn)的控制策略使APF對(duì)諧波和無(wú)功功率進(jìn)行有效補(bǔ)償,APF系統(tǒng)具有較好的補(bǔ)償實(shí)時(shí)性和有效性。
[Abstract]:With the rapid development of power electronics technology, its application is becoming more and more extensive, resulting in more and more serious power grid pollution. Active power filter (APF) is an effective method for harmonic control of power network, and it is a hotspot in the field of power quality control. In recent years, people pay more attention to the application of modern control theory to the study of APF, in which the neural network has opened up a new path for the study of APF with its strong nonlinear mapping ability. On the basis of previous research, the APF controller is designed by combining neural network and Pi control theory, and the hardware circuit is designed reasonably. The main research tasks and results are as follows: 1. This paper analyzes the research status and characteristics of APF and the problems existing in the research, summarizes and compares the advantages and disadvantages of harmonic detection and current control methods, and adopts neural network to detect harmonics in the design of APF. 2. The principle of active power filter (APF) is deeply analyzed, and the mathematical model of three-phase parallel APF is established. The DC side voltage is effectively controlled by using multivariate adaptive neural network to detect harmonic current and Pi regulation. Use triangular carrier to realize current tracking control. 3. The parallel three-phase four-wire APF system is designed, its circuit model is established, and the hardware and software are designed. In order to improve the real-time design of AD synchronous acquisition circuit, combining hardware interlock design with software dead-zone design to improve the safety and reliability of the device, to design hardware phase-locked loop to improve the compensation effect, to make the filter system obtain better compensation performance, The output filter is designed to effectively suppress the high order harmonics in the output current of the system device. 4. Matlab7.1 simulation software is used to simulate the system. On the basis of the simulation, the system is studied with DSP as the core controller, and the APF test device is built. The simulation and experimental results show that the improved control strategy can compensate the harmonic and reactive power effectively.
【學(xué)位授予單位】:江南大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2011
【分類號(hào)】:TN713.8
本文編號(hào):2148654
[Abstract]:With the rapid development of power electronics technology, its application is becoming more and more extensive, resulting in more and more serious power grid pollution. Active power filter (APF) is an effective method for harmonic control of power network, and it is a hotspot in the field of power quality control. In recent years, people pay more attention to the application of modern control theory to the study of APF, in which the neural network has opened up a new path for the study of APF with its strong nonlinear mapping ability. On the basis of previous research, the APF controller is designed by combining neural network and Pi control theory, and the hardware circuit is designed reasonably. The main research tasks and results are as follows: 1. This paper analyzes the research status and characteristics of APF and the problems existing in the research, summarizes and compares the advantages and disadvantages of harmonic detection and current control methods, and adopts neural network to detect harmonics in the design of APF. 2. The principle of active power filter (APF) is deeply analyzed, and the mathematical model of three-phase parallel APF is established. The DC side voltage is effectively controlled by using multivariate adaptive neural network to detect harmonic current and Pi regulation. Use triangular carrier to realize current tracking control. 3. The parallel three-phase four-wire APF system is designed, its circuit model is established, and the hardware and software are designed. In order to improve the real-time design of AD synchronous acquisition circuit, combining hardware interlock design with software dead-zone design to improve the safety and reliability of the device, to design hardware phase-locked loop to improve the compensation effect, to make the filter system obtain better compensation performance, The output filter is designed to effectively suppress the high order harmonics in the output current of the system device. 4. Matlab7.1 simulation software is used to simulate the system. On the basis of the simulation, the system is studied with DSP as the core controller, and the APF test device is built. The simulation and experimental results show that the improved control strategy can compensate the harmonic and reactive power effectively.
【學(xué)位授予單位】:江南大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2011
【分類號(hào)】:TN713.8
【引證文獻(xiàn)】
相關(guān)碩士學(xué)位論文 前1條
1 唐鑫鑫;基于預(yù)測(cè)控制策略的有源濾波器的研究[D];江南大學(xué);2012年
,本文編號(hào):2148654
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