Design Techniques for Multivariable ILC: Application to an Industrial Flatbed Printer
Author(s) -
Lennart Blanken,
Jeroen Willems,
Sjirk Koekebakker,
Tom Oomen
Publication year - 2016
Publication title -
ifac-papersonline
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.308
H-Index - 72
eISSN - 2405-8971
pISSN - 2405-8963
DOI - 10.1016/j.ifacol.2016.10.552
Subject(s) - multivariable calculus , iterative learning control , control theory (sociology) , control engineering , computer science , frequency domain , loop (graph theory) , domain (mathematical analysis) , engineering , control (management) , artificial intelligence , mathematics , mathematical analysis , combinatorics , computer vision
Iterative Learning Control (ILC) can significantly improve performance of systems that perform repeating tasks. Although in practice many systems are multivariable, frequency-domain ILC design procedures often involve multi-loop single-input single-output (SISO) filters which do not explicitly address interaction in dynamics. The aim of this paper is to i) analyze multi-loop SISO ILC designs, ii) point out the importance of multivariable ILC design, and iii) develop the required multivariable design algorithms. Benefits of the proposed approaches over multi-loop SISO ILC are demonstrated on an industrial printer model example.
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