Browse > Article
http://dx.doi.org/10.5391/IJFIS.2004.4.2.223

Improvement of LMCTS Position Accuracy using DR-FNN Controller  

Lee, Jin Woo (Department of Electrical Engineering, Dong-A University)
Suh, Jin Ho (Department of Electrical Engineering, Dong-A University)
Lee, Young Jin (Department of Electrical Instrument of Control, Korea Aviation Polytechnic College)
Lee, Kwon Soon (Division of Electrical, Electronics and Computer, Dong-A University)
Publication Information
International Journal of Fuzzy Logic and Intelligent Systems / v.4, no.2, 2004 , pp. 223-230 More about this Journal
Abstract
In this paper, we will introduce a control strategy based on the permanent magnet linear synchronous motor (PMLSM) container transfer system using soft-computing algorithm. Linear motor-based container transport system (LMCTS) is horizontal transfer system for the yard automation, which has been proposed to take the place of automated guided vehicle in the maritime container terminal. LMCTS is considered as that the system is changed its model suddenly and variously by loading and unloading container. The proposed control system is consisted of two DR-FNNs that act the role of controller and system emulator. Consequently, the system had the predictable structure and an ability to adapt for a huge variation of rolling friction, detent force, and sudden changes of its weight by loading and unloading.
Keywords
Linear Motor-based Container Transfer System; position control; detent force; friction; DR-FNN;
Citations & Related Records
연도 인용수 순위
  • Reference
1 F. J. Lin, R. J. Wai, and C. M. Hong, 'Hybrid Supervisory Control Using Recurrent Fuzzy Neural Network for Tracking Periodic Inputs,' IEEE Trans. on Neural Networks, Vol. 12, No.1, January, 2002
2 T. L. Seng, M. B. Khalid, and R. Y. Yusof, 'Tuning of a Neuro-Fuzzy Controller by Genetic Algorithm,' IEEE Trans. on Systems, Man, and Cybernetics, Part B:Cybernetics, Vol. 29, No.2, pp. 226-236, 1999   DOI   ScienceOn
3 Brian Armstrong-Helouvry, Pierre Dupont, and Carlos Canudas De Wits, 'A Survey of Models, Analysis Tools and Compensation Methods for the Control of Machines with Friction,' Automatica, Vol. 30, No.7. pp. 1083-1138, 1994   DOI   ScienceOn
4 Young H. Kim and Frank L. Lewis, 'Neural Network Output Feedback Control of Robot Manipulators,' IEEE Trans. on Robotics and Automation, Vol. 15, No. 2, pp. 301-309, 1999   DOI   ScienceOn
5 B. Widrow and E. Walach, Adaptive Inverse Control, Upper Saddle River, Prentice Hall, 1996
6 Rong-Jong Wai, Faa-Jeng Lin, 'Adaptive RecurrentNeural- Network Control for Linear Induction Motor,' IEEE Trans. on Aerospace and Electronic Systems, Vol.37, No.4, pp. 1176-1192, 2001   DOI   ScienceOn
7 Klaus-Peter Franke, 'Boosting Efficiency of Split Marine Container Terminals by Innovative Technology,' IEEE Intelligent Transportation Systems Conference Proc., Oakland, USA, August, pp. 774-779, 2001
8 Y. Frayman and L. Wang, 'A Dynamically-constructed Fuzzy Neural Controller for Direct Model Reference Adaptive Control of Multi-input-mu1ti-output Nonlinear,' Soft Computing, Vol. 6, pp. 244-253, 2002   DOI
9 K. K. Tan, S. N. Huang, and T. H. Lee, 'Robust Adaptive Numerical Compensation for Friction and Force Ripple in Permanent-Magnet Linear Motors,' IEEE Trans. on Magnetics, Vol. 38, No.1, pp. 221-228, 2002   DOI   ScienceOn
10 K. Yoshida, H. Takami, X. Kong, and A. Sonoda, 'Mass Reduction and Propulsion Control for a PermanentMagnet Linear Synchronous Motor Vehicle,' IEEE Trans. on Industry Applications, Vol. 37, No. 1, pp. 67-72, 2001   DOI   ScienceOn
11 V. Kecman, L. Vlacic, and R. Salman, 'Learning in and performance of the new neural network based adaptive backthrough control structure,' Proceedings of the 14-th IFAC Triennial World Congress, Beijing, PR Chaina, Vol. K, pp. 133-140, 1999
12 Young Ho Kim and Frank L. Lewis, 'Reinforcement Adaptive Leaming Neural-Net-Based Friction Compensation control for High Speed and Precision,' IEEE Trans. on Control Systems Technology, Vol. 8, No.1, pp. 118-126, 2000   DOI   ScienceOn
13 K. Yoshida, X. Kong, and H. Takami, 'Network Transport Automation Study of PM LSM Vehicle on Orthogonally-Switching-Guideway,' Industry Applications Conference, Vol. 2, pp. 1109-1114, 2000