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.
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Gauthier, G., Beauchemin-Turcotte, M., Boulet, B. (2010). Robust Design of 2nd Order Terminal ILC Using μ-Analysis and a Genetic Algorithm Approach. In: Angeles, J., Boulet, B., Clark, J.J., Kövecses, J., Siddiqi, K. (eds) Brain, Body and Machine. Advances in Intelligent and Soft Computing, vol 83. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16259-6_13
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DOI: https://doi.org/10.1007/978-3-642-16259-6_13
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