Recently, model predictive control has been widely used to control grid-connected inverters due to its advantages. However, the conventional model predictive control methods usually require two AC voltage and current sensors to sample the grid voltages and currents. Particularly, the DC voltage sensor is also required to calculate the values of the voltage vectors. The inverter will lose its stability once these sensors fail. Thus, in this study, to improve the operational reliability of the grid-connected inverters, a sliding mode observer-based AC voltage sensorless model predictive control is proposed. First, a sliding mode observer is designed to estimate the grid voltage. Next, a new adaptive compensation strategy is proposed to remove the phase and amplitude errors caused by the low-pass filter. The main novelty of this compensation strategy is that it is immune to the actual grid frequency. Therefore, the grid voltage can be identified accurately, even under frequency deviation conditions. Besides, the stability and parameter designing method of the sliding mode observer is also analysed to provide a theoretical basis for its implementation. Finally, based on the observed grid voltage, the AC voltage sensorless model predictive control is achieved. Detailed comparative experimental results show the validity of the proposed method.

中文翻译：

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并网逆变器基于滑模观测器的交流电压无传感器模型预测控制

最近，由于模型预测控制的优点，模型预测控制已被广泛用于控制并网逆变器。但是，传统的模型预测控制方法通常需要两个AC电压和电流传感器来采样电网电压和电流。特别地，还需要DC电压传感器来计算电压矢量的值。一旦这些传感器发生故障，逆变器将失去稳定性。因此，在本研究中，为了提高并网逆变器的运行可靠性，提出了一种基于滑模观测器的交流电压无传感器模型预测控制。首先，设计滑模观测器以估算电网电压。接下来，提出了一种新的自适应补偿策略，以消除由低通滤波器引起的相位和幅度误差。这种补偿策略的主要新颖之处在于它不受实际电网频率的影响。因此，即使在频率偏差条件下，也可以准确识别电网电压。此外，还分析了滑模观测器的稳定性和参数设计方法，为其实现提供了理论依据。最后，基于观察到的电网电压，实现了交流电压无传感器模型的预测控制。详细的对比实验结果证明了该方法的有效性。最后，基于观察到的电网电压，实现了交流电压无传感器模型的预测控制。详细的对比实验结果证明了该方法的有效性。最后，基于观察到的电网电压，实现了交流电压无传感器模型的预测控制。详细的对比实验结果证明了该方法的有效性。