ITEM METADATA RECORD
Title: Wave form replication using combined Adaptive and Iterative Learning Control
Authors: Moten, Sikandar
Pipeleers, Goele
Desmet, Wim
Swevers, Jan
Issue Date: Mar-2015
Conference: 34th Benelux Meeting on Systems and Control location:Lommel date:24-26 March 2015
Abstract: In the automotive industry, durability testing is a crucial step in the design and development cycle. The goal of these tests is to replicate or track real operating conditions in lab environment typically on a multi-axis vibration test rig. The wave forms that have to be tracked are repeated sequentially for a certain number of cycles or until failure occurs. Existing techniques to replicate these sequences consist of fixed position controllers for the actuators with feedforward approaches; for instance the current state of the art Time Wave Replication (TWR) process. The TWR process consists of two phases \cite{Cuyper_2006_1}: Identification of non-parametric frequency domain model and its inverse followed by off-line iterative learning control (ILC) phase. Although TWR is a slow off-line process for finding the appropriate drive signals, it allows to control systems with delays and non-minimum phase, which is typical for hydraulic test rigs. This research proposes an online technique that can also handle systems with delays and non-minimum phase by investigating a combined use of adaptive inverse control (AIC) and ILC . As a result, this will help to accelerate the drive signal generation process.
Publication status: accepted
KU Leuven publication type: IMa
Appears in Collections:Production Engineering, Machine Design and Automation (PMA) Section
Mechanical Engineering - miscellaneous

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