基于李雅普诺夫直接法的自适应预测电流控制算法

    Self-adaptive predictive current control algorithm based on Lyapunov’s direct method

    • 摘要: 针对预测电流控制算法忽略线阻且未考虑干扰信号的缺点,提出了一种适用于光伏并网逆变器的自适应控制算法。该算法基于李雅普诺夫稳定性定理进行设计,在达到控制目标和保证系统稳定的前提下,实现了根据实时采样数据对电路未知参数进行自适应调节,避免因对电压或电流的假设和忽略负载电阻的影响而造成误差,使系统对干扰信号具有更强的抗干扰性,提高控制器对噪声的抑制能力。最后,通过仿真和试验验证了该算法的有效性。

       

      Abstract: In order to avoid the defect of neglecting resistance and disturbance signals for predictive current control algorithm, a self-adaptive control algorithm suitable for photovoltaic grid-connected inverter was proposed. The algorithm was designed based on Lyapunov’s direct method, which could adaptively adjust the unknown parameters according to realtime data, on the premise of reaching control objective and stability. The errors caused by hypothesizing voltage or current and neglecting load resistance could be avoided, and robustness of controller could be improved to make it more robust to disturbances. The proposed algorithm was verified through simulation and experiments.

       

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