检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:杨博[1] THIDAR Swe 钟林恩 束洪春[1] 余涛[2] 孙立明 YANG Bo;THIDAR Swe;ZHONG Lin-en;SHU Hong-chun;YU Tao;SUN Li-ming(Faculty of Electric Power Engineering,Kunming University of Science and Technology,Kunming Yunnan 650500,China;College of Electric Power,South China University of Technology,Guangzhou Guangdong 510640,China;Guangzhou ShuimuQinghua Technology CO.LTD,Guangzhou Guangdong 510898,China)
机构地区:[1]昆明理工大学电力工程学院,云南昆明650500 [2]华南理工大学电力学院,广东广州510640 [3]广州水沐青华科技有限公司,广东广州510898
出 处:《控制理论与应用》2020年第2期374-386,共13页Control Theory & Applications
基 金:国家自然科学基金项目(51667010,51777078);云南省应用基础研究计划项目——青年项目(2018FD036)资助.
摘 要:本文设计了一款基于扰动观测器的鲁棒分数阶滑模控制(POFO–SMC)来实现光伏逆变器的最大功率跟踪(MPPT).首先,将光伏逆变器的非线性、参数不确定性以及未建模动态聚合成一个扰动,并通过扰动观测器对其进行在线估计.随后,采用分数阶滑模控制(FOSMC)对该扰动估计进行实时完全补偿,从而实现不同工况下全局一致的控制性能.同时,POFO–SMC采用扰动实时估计而非传统滑模控制(SMC)中所使用的扰动上限值进行补偿,因此可有效解决传统SMC过于保守的缺点,使得控制成本更为合理.最后,POFO–SMC无需精确的系统模型,仅需测量光伏逆变器的q轴电流和直流侧电压,因此易于硬件实现.本文进行了两个算例的研究,即光照强度变化和电网电压跌落.仿真结果表明,与传统PI控制、反馈线性化控制(FLC)、SMC和FOSMC相比,POFO–SMC在各类工况下均具有最好的动态特性及最高的鲁棒性.基于dSpace的硬件在环实验(HIL)验证了其硬件可行性.In this paper,a perturbation observer based robust fractional-order sliding mode control(POFO–SMC)is designed to realize the maximum power point tracking(MPPT)of photovoltaic(PV)inverters.Firstly,the nonlinearities,parameter uncertainties and unmodelled dynamics of the PV inverter are aggregated into a perturbation and then estimated online by the perturbation observer.Moreover,the perturbation estimate is fully compensated in the real-time by fractional-order sliding-mode control(FOSMC),such that a global consistent control performance can be achieved under different operation conditions.In addition,POFO–SMC replaces the upper bound of perturbation by its real-time estimation,thus the over-conservativeness of SMC could be avoided.Lastly,POFO–SMC does not require an accurate PV system model while only the measurement of q-axis current and direct current(DC)voltage is needed,which is easy to be implemented in practice.Two case studies are carried out,e.g.,solar irradiation variation and power grid voltage drop.Simulation results verify that the POFO–SMC outperforms the conventional PI control,feedback linearization control(FLC),SMC and FOSMC under different operation conditions.A hardware-in-loop(HIL)test based on dSpace is undertaken to validate the implementation feasibility of the proposed approach.
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.28