Robust design of 2nd order terminal ILC using μ-analysis and a genetic algorithm approach

Abstract

In the thermoforming industry, the heater temperature setpoints can be automatically tuned with Terminal Iterative Learning Control (TILC). This cycle-to-cycle control is used to adjust the heater temperature setpoints so that the temperature profile at the surface of the plastic sheet converges to the desired temperature. The robustness of a closed-loop system with this TILC algorithm is measured using the μ-analysis approach. A Genetic Algorithm (GA) is used to find the 2nd order TILC controller parameters giving the most robust closed-loop system. © 2010 Springer-Verlag Berlin Heidelberg.