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基于RLESO与终端滑模的光伏并网逆变器控制策略 被引量:1

Control strategy of photovoltaic grid connected inverter based on RLESO and Terminal sliding mode
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摘要 针对光伏并网逆变器直流侧母线电压易受光照、温度以及网侧电压和负载波动的影响,提出一种基于降阶线性扩张状态观测器(Reduced Linear Extended State Observer,RLESO)和终端滑模理论(Terminal Sliding Mode Theory)的新型自抗扰控制策略,并将其应用于光伏并网逆变器的电压外环.建立光伏并网逆变器在坐标系下的物理模型,在此基础上设计RLESO,通过构造李雅普诺夫函数证明RLESO的收敛性.频域特性表明RLESO相比于线性扩张状态观测器(Linear Extended State Observer,LESO)具有更快的响应速度以及更小的相位滞后.为保证系统鲁棒性,采用Terminal设计自抗扰控制器的误差反馈律.通过Matlab/Simulink仿真平台进行了多工况的仿真测试,结果均表明降阶自抗扰控制策略具有良好的快速性和抗扰能力,工程实用性更强. A novel active disturbance rejection control(ADRC) strategy based on reduced linear extended state observer(RLESO) and terminal sliding mode theory is proposed,which is applied to the voltage outer loop of photovoltaic grid connected inverter to solve the bus voltage easy undulation problem caused by the fluctuation of light,temperature,grid side voltage and load.RLESO is designed based on the established physical model of photovoltaic grid connected inverter in coordinate system,whose convergence is proved by constructing Lyapunov function.The frequency domain characteristics show that RLESO has faster response speed and smaller phase lag than linear extended state observer(LESO).In order to ensure the robustness of the system,terminal sliding mode is used to design the error feedback law of ADRC.The multi condition simulation results from MATLAB/Simulink show that the reduced order ADRC strategy has sensitive rapidity,good anti-interference ability and stronger engineering practicability.
作者 谭兴国 陈明 杜少通 张高明 TAN Xing-guo;CHEN Ming;DU Shao-tong;ZHANG Gao-ming(School of Electrical Engineering and Automation,Henan University of Technology,Jiaozuo 454003,China)
出处 《陕西科技大学学报》 北大核心 2022年第5期170-176,共7页 Journal of Shaanxi University of Science & Technology
基金 国家自然科学基金项目(U1804143) 新疆维吾尔自治区重点研发计划项目(2020B02004) 河南省自然科学基金项目(182300410214)。
关键词 光伏并网逆变器 RLESO TERMINAL 李雅普诺夫函数 频域特性 快速性 鲁棒性 photovoltaic grid connected inverter RLESO Terminal Lyapunov function frequency domain characteristics rapidity robustness
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