TY - JOUR
T1 - Inferential Iterative Learning Control
T2 - A 2D-system approach
AU - Bolder, J.J.
AU - Oomen, T.A.E.
PY - 2016/9/1
Y1 - 2016/9/1
N2 - Certain control applications require that performance variables are explicitly distinguished from measured variables. The performance variables are not available for real-time feedback. Instead, they are often available after a task. This enables the application of batch-to-batch control strategies such as Iterative Learning Control (ILC) to the performance variables. The aim of this paper is first to show that the pre-existing ILC controllers may not be directly implementable in this setting, and second to develop a new approach that enables the use of different variables for feedback and batch-to-batch control. The analysis reveals that by using pre-existing ILC methods, the ILC and feedback controllers may not be stable in an inferential setting. Therefore, the complete closed-loop system is cast in a 2D framework to analyze stability. Several solution strategies are outlined. The analysis is illustrated through an application example in a printing system. Finally, the developed theory also leads to new results for traditional ILC algorithms in the common situation where the feedback controller contains a pure integrator.
AB - Certain control applications require that performance variables are explicitly distinguished from measured variables. The performance variables are not available for real-time feedback. Instead, they are often available after a task. This enables the application of batch-to-batch control strategies such as Iterative Learning Control (ILC) to the performance variables. The aim of this paper is first to show that the pre-existing ILC controllers may not be directly implementable in this setting, and second to develop a new approach that enables the use of different variables for feedback and batch-to-batch control. The analysis reveals that by using pre-existing ILC methods, the ILC and feedback controllers may not be stable in an inferential setting. Therefore, the complete closed-loop system is cast in a 2D framework to analyze stability. Several solution strategies are outlined. The analysis is illustrated through an application example in a printing system. Finally, the developed theory also leads to new results for traditional ILC algorithms in the common situation where the feedback controller contains a pure integrator.
KW - 2D system
KW - Inferential control
KW - Iterative Learning Control
KW - Limit profile
KW - Stability along the pass
UR - http://www.scopus.com/inward/record.url?scp=84974604101&partnerID=8YFLogxK
U2 - 10.1016/j.automatica.2016.04.029
DO - 10.1016/j.automatica.2016.04.029
M3 - Article
AN - SCOPUS:84974604101
VL - 71
SP - 247
EP - 253
JO - Automatica
JF - Automatica
SN - 0005-1098
ER -