Learning based cross-coupled control for multi-axis high precision positioning systems
ASME 2012, 5th Annual Dynamic Systems and Control Conference joint with the JSME 2012, 11th Motion and Vibration Conference
535 - 541
Item Usage Stats
In this paper, a controller featuring cross-coupled control and iterative learning control schemes is designed and implemented on a modular two-axis positioning system in order to improve both contour and tracking accuracy. Instead of using the standard contour estimation technique proposed with the variable gain cross-coupled control, a computationally efficient contour estimation technique is incorporated with the presented control design. Moreover, implemented contour estimation technique makes the presented control scheme more suitable for arbitrary nonlinear contours. Effectiveness of the control design is verified with simulations and experiments on a two-axis positioning system. Also, simulations demonstrating the performance of the control method on a three-axis positioning system are provided. The resulting controller is shown to achieve nanometer level contouring and tracking performance. Simulation results also show its applicability to three-axis nano-positioning systems. Copyright © 2012 by ASME.
Cross coupled control
High precision positioning
Iterative learning control
Internal combustion engines
Model predictive control
Predictive control systems
Published Version (Please cite this version)http://dx.doi.org/10.1115/DSCC2012-MOVIC2012-8660
Showing items related by title, author, creator and subject.
Gündeş, A. N.; Özbay, Hitay (Taylor & Francis, 2010-03)Reliable decentralised proportional-integral-derivative controller synthesis methods are presented for closed-loop stabilisation of linear time-invariant plants with two multi-input, multi-output (MIMO) channels subject ...
Serel, D. A. (Elsevier, 2009)For monitoring the stability of a process, various control charts based on exponentially weighted moving average (EWMA) statistics have been proposed in the literature. We study the economic design of EWMA-based mean and ...
Concurrent design of energy management and vehicle traction supervisory control algorithms for parallel hybrid electric vehicles Dokuyucu, H. I.; Cakmakci, M. (Institute of Electrical and Electronics Engineers Inc., 2016)In this paper, concurrent design of energy management (EM) and traction control algorithms for a vehicle equipped with a parallel hybrid powertrain is studied. This paper focuses on designing the two control algorithms ...