Convex Constrained Iterative Learning Control Using Projection: Application to a Smart Power Switch

摘要

This brief presents the application of convex constrained iterative learning control (ILC) using projection to the systematic slew rate control of smart power switches. Criteria for the monotonic and global convergence of the input and output iteration are presented for general first-order ILC laws with projection. Convergence of the ILC-based slew rate control for a smart power switch is analyzed and experimental results are shown.