Iterative learning control of a distributed heating system described by a non-minimum phase model

This paper considers iterative learning control design for non-minimum phase dynamics using a model derived from an experimental spatially distributed heating system. A novel design based on an $\mathcal{H}_{\infty}$ setting and convex optimization with validation in both simulation and experiment is reported.

[1]  Bo Bernhardsson,et al.  Frequency-domain iterative learning control of a marine vibrator , 2016 .

[2]  Eric Rogers,et al.  Influence of Nonminimum Phase Zeros on the Performance of Optimal Continuous-Time Iterative Learning Control , 2014, IEEE Transactions on Control Systems Technology.

[3]  Andreas Rauh,et al.  An integrodifferential approach to modeling, control, state estimation and optimization for heat transfer systems , 2016, Int. J. Appl. Math. Comput. Sci..

[4]  Tae Tom Oomen,et al.  Inverting nonminimum-phase systems from the perspectives of feedforward and ILC , 2017 .

[5]  A.G. Alleyne,et al.  A survey of iterative learning control , 2006, IEEE Control Systems.

[6]  Harald Aschemann,et al.  Robust guaranteed cost ILC with dynamic feedforward and disturbance compensation for accurate PMSM position control , 2017 .

[7]  H. Kobayashi,et al.  Disturbance estimation and rejection - an equivalent input disturbance estimator approach , 2004, 2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601).

[8]  Suguru Arimoto,et al.  Bettering operation of Robots by learning , 1984, J. Field Robotics.

[9]  Tong Duy Son,et al.  Multi-objective iterative learning control using convex optimization , 2017, Eur. J. Control.

[10]  Kevin L. Moore,et al.  Iterative Learning Control: Brief Survey and Categorization , 2007, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[11]  Masayoshi Tomizuka,et al.  Design of iterative learning controller based on frequency domain linear matrix inequality , 2009, 2009 American Control Conference.