Fei Juntao, Zhu Yunkai
College of IoT Engineering, Hohai University, Changzhou, China.
PLoS One. 2017 Aug 10;12(8):e0182916. doi: 10.1371/journal.pone.0182916. eCollection 2017.
In this paper, an adaptive fuzzy sliding mode controller is proposed to control a two-stage single-phase photovoltaic (PV) grid-connected inverter. Two key technologies are discussed in the presented PV system. An incremental conductance method with adaptive step is adopted to track the maximum power point (MPP) by controlling the duty cycle of the controllable power switch of the boost DC-DC converter. An adaptive fuzzy sliding mode controller with an integral sliding surface is developed for the grid-connected inverter where a fuzzy system is used to approach the upper bound of the system nonlinearities. The proposed strategy has strong robustness for the sliding mode control can be designed independently and disturbances can be adaptively compensated. Simulation results of a PV grid-connected system verify the effectiveness of the proposed method, demonstrating the satisfactory robustness and performance.
本文提出了一种自适应模糊滑模控制器,用于控制两级单相光伏(PV)并网逆变器。在所提出的光伏系统中讨论了两项关键技术。采用具有自适应步长的增量电导法,通过控制升压型DC-DC变换器可控功率开关的占空比来跟踪最大功率点(MPP)。针对并网逆变器,开发了一种带有积分滑模面的自适应模糊滑模控制器,其中利用模糊系统来逼近系统非线性的上界。所提出的策略具有很强的鲁棒性,因为滑模控制可以独立设计,并且干扰可以得到自适应补偿。光伏并网系统的仿真结果验证了所提方法的有效性,表明了其具有令人满意的鲁棒性和性能。