title: Implementation of a new iterative learning control algorithm on real data.
abstract: In this paper, a newly presented approach is proposed for closed-loop automatic tuning of a proportional integral derivative (PID) controller based on iterative learning control (ILC) algorithm. A modified ILC scheme iteratively changes the control signal by adjusting it. Once a satisfactory performance is achieved, a linear compensator is identified in the ILC behavior using casual relationship between the closed loop signals. This compensator is approximated by a PD controller which is used to tune the original PID controller. Results of implementing this approach presented on the experimental data of Damavand tokamak and are consistent with simulation outcome.
authors.affiliation: Advanced Process Automation and Control (APAC) Research Group, Industrial Control Centre of Excellence, Faculty of Electrical and Computer Engineering, K.N. Toosi University of Technology, P.O. Box 16315-1355, Tehran, Iran.
authors.forename: Hamed
authors.initials: H
authors.lastname: Zamanian
authors.affiliation: Plasma Physics and Nuclear Fusion Research School, Nuclear Science and Technology Research Institute, P.O. Box 14399-51113, Tehran, Iran.
authors.forename: Ardavan
authors.initials: A
authors.lastname: Koohi