Title: An new approach for intelligent control system design using the modified genetic algorithm

Authors: Kyung-Hyun Choi, Tran Trung Thanh, Yang Bong Su, Dong-Soo Kim

Addresses: School of Mechanical Engineering, Cheju National University, 66 Jejudaehakno, Jeju-si, Jeju-do, Republic of Korea. ' AMM Lab, 4-221, School of Engineering, Jeju National University, 66 Jejudaehakro, Jeju-Si, Jeju-do 690-756, Republic of Korea. ' AMM Lab, 4-221, School of Engineering, Jeju National University, 66 Jejudaehakro, Jeju-Si, Jeju-do 690-756, Republic of Korea. ' Nano-Mechanical System Research Division, Korea Institute of Machinery and Materials, 171 Jang-Dong, Yeseung-Gu, Daejeon, Republic of Korea

Abstract: There are many applications which employed roll-to-roll web technology for mass production to make cheaper production in shorter time. Especially, RFID and printed electronics using the principle of roll-to-roll manufacturing to build equipment at high speeds will have a big impact on the printed electronics. To increase the precision and flexible ability to detect effectively the external and internal disturbance, several controller designs for roll-to-roll web control system are proposed in recent years. However, almost all proposals are employed for the time-invariant linear SISO systems. In reality, some terms in several control systems such as roll-to-roll web system change in time and are non-linear. Therefore, classical gain tuning approaches are not suitable. In this paper, an algorithm proposed for non-linear roll-to-roll web control system is based on using the modified genetic algorithm to determine the optimal parameters of controller, detect the errors and automatically recover the errors at every time interval. The simulation results in Matlab/Simulink employed firstly with the simple plants and after that with back-stepping controllers of roll-to-roll system prove the stability and reliability of the proposed approach.

Keywords: GAs; genetic algorithms; roll-to-roll web; back-stepping; nonlinear control; tension control; intelligent control; controller design; simulation.

DOI: 10.1504/IJISTA.2010.036584

International Journal of Intelligent Systems Technologies and Applications, 2010 Vol.9 No.3/4, pp.300 - 315

Published online: 04 Nov 2010 *

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