A novel periodic-signal-based iterative learning control method and its application to inverter system
MENG Qi
HOU Zhong-sheng
Abstract：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.
Keywords：iterative learning controlinverterperiodic signaldata-driven control
Publication Date：2016-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 289-294 )