基于周期信号的迭代学习控制在逆变器中的应用
A novel periodic-signal-based iterative learning control method and its application to inverter system

提出一种基于周期信号的迭代学习控制方法, 并将其应用于电力逆变器, 分析了跟踪误差沿迭代方向的收 敛条件, 给出了控制律的时域表达形式以及参数的确定方法. 由于该方法理论上可实现跟踪误差收敛到零, 因而使 逆变器输出电压跟踪精度大幅提高. 通过MATLAB/Simulink仿真, 该方法的有效性得到验证; 此外, 与传统PID控制 相比, 仿真结果显示出该方法具有较好的负载适应能力以及优越的跟踪性能.
A method of periodic-signal-based iterative learning control with application to inverter system is presented; the convergence condition for tracking error along the iteration axis is analyzed. The control law in time-domain and the parameter tuning method are developed. Since the tracking error can converge to zero when using this method, the accuracy of the inverter output voltage will be theoretically improved greatly. The effectiveness of this method is validated via the simulation implemented on MATLAB platform. In comparison with the PID control, simulation results show that the proposed method provides higher performance on load adaptability and output voltage tracking.