中文摘要：

光伏并网系统成本昂贵是阻碍其市场应用的重要原因，采用无直流传感器的光伏电池最大功率跟踪．在一定程度上降低了控制系统的成本，成为目前研究的热点内容。但目前文献提出的无传感器的光伏电池输出电流、电压的估算方法在估算精度、实时性、以及动态响应能力方面都具有一定的缺陷，使光伏电池的最大跟踪难以达到满意的效果，从而影响到光伏并网系统的输出性能。针对以上问题．提出了基于自适应滑模观测器实现的光伏电池输出电压的估算。该算法对外来干扰，模型参数误差具有良好的抑制能力和对光伏电池输出电压的跟踪具有良好的实时性、精确度。仿真和实验结果均验证了的通过该自适应滑模观测器实现的光伏电池最大功率跟踪和系统的输出具有良好的性能。

英文摘要：

The high cost of grid-connected photovoltaic （PV） system is an important reason that hinders its market application. The control cost can be partly cut down by using sensorless Maximum Power Point Tracking （MPPT）. However, the sensorless MPPT control proposed by previous literatures has drawbacks of poor estimation accuracy, bad real-time performance, and poor dynamic responses, which has great impact on the MPPT and the output performance of the whole system. Aiming at these problems, an Adaptive Sliding Mode Observer （ASMO） for estimation of photovoltaic array voltage is proposed. The external disturbance and modeling errors are suppressed while the real-time performance and the estimation accuracy are improved greatly by the proposed method. The favorable performance of the output performance and MPPT performance of the PV system based on the ASMO are validated by simulation and experimental results.