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主从式微电网光伏逆变器反步超螺旋滑模控制

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为了提高光伏发电控制系统的鲁棒性能,提出了一种带高阶滑模微分器的自适应反步超螺旋滑模控制器.首先,将滑模微分器作为虚拟控制量的滤波器,避免传统反步法中微分量难以获取和控制器饱和的问题;其次,通过设计滤波误差补偿信号,实现单输入对两状态变量控制;再次,针对逆变侧滤波参数摄动问题,运用改进自适应估计算法获取实时的参数估计值;最后,为了抑制电流内环扰动,引入超螺旋滑模控制,并且利用李雅普诺夫稳定性定理证明了控制系统稳定和估计误差收敛.基于主从式孤岛光储微电网系统的仿真结果表明,与终端滑模控制相比,所提控制器的暂态性能和抖振抑制效果更优.
Backstepping Super-twisting Sliding Mode Control for Photovoltaic Inverter of Master-slave Microgrid
In order to improve the robust performance of photovoltaic power generation control system,an adaptive backstepping super-twisting sliding mode controller with high-order sliding mode differentiator is proposed.Firstly,the sliding mode differentiator is employed as the virtual control variable filter,which avoids the difficulty of obtaining the derivative and the saturation of the controller in the traditional backstepping method.Secondly,by designing the filtering error compensation signal,the control of two state variables with a single input is realized.Thirdly,for the parameter perturbation of inverter-side filter,an improved adaptive estimation algorithm is used to obtain real-time estimated values of parameters.Finally,in order to suppress the disturbance of the inner loop of the current,super-twisting sliding mode control is introduced,and the Lyapunov theorem of stability is used to prove that the control system is stable and the estimation error converges.The simulation results based on the master-slave island photovoltaic and energy-storage microgrid system show that the proposed controller has better transient performance and chattering suppression effect than the terminal sliding mode control.

Super-twisting algorithmparameter estimationhigh-order sliding mode differentiatorphotovoltaic and energy-storage microgrid

沈加政、董学育、朱建忠、周磊

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南京工程学院 能源与动力工程学院,江苏 南京 211167

江苏省电力有限公司盐城供电分公司,江苏 盐城 224000

超螺旋算法 参数估计 高阶滑模微分器 光储微电网

2025

控制工程
东北大学

控制工程

北大核心
影响因子:0.749
ISSN:1671-7848
年,卷(期):2025.32(1)