Ulu, N. G.Ulu E.Cakmakci, M.2018-04-122018-04-1220161598-6446http://hdl.handle.net/11693/36887Increasing demand for micro/nano-technology related equipment resulted in growing interest for precision positioning systems. In this paper a modular controller combining cross-coupled control and iterative learning control approaches to improve contour and tracking accuracy at the same time is presented. Instead of using the standard error estimation technique, a computationally efficient and modular contour error estimation technique is used. The new controller is more suitable for tracking arbitrary nonlinear contours and easier to implement to multi-axis systems. Stability and convergence analysis for the proposed controller is presented with the necessary conditions. Effectiveness of the control design is verified with simulations and experiments on a two-axis positioning system. The resulting positioning system achieves nanometer level contouring and tracking performance. © 2016, Institute of Control, Robotics and Systems and The Korean Institute of Electrical Engineers and Springer-Verlag Berlin Heidelberg.EnglishCross-coupled controlIterative learningMechatronic modularityNano-positioningAlgorithmsIterative methodsMotion controlComputationally efficientDesign and analysis of a modular learning based cross-coupled control algorithm for multi-axis precision positioning systemsArticle10.1007/s12555-014-0125-1