PANTOGRAPH DRIVEN WITH A LINEAR INDUCTION MOTOR WITH ADAPTIVE FUZZY CONTROL
Abstract
This article presents an adaptive fuzzy control for a linear induction motor, which is used to control the vertical movement of a pantograph, which supplies an electric locomotive from a contact line. The system has the goal of eliminating all the discontinuity on the route, the resonance phenomenon, the separation of the pantograph head from the contact wire, and electric arches. The simulations demonstrate functional control of the pantograph driven with a linear induction motor system using fuzzy control techniques.
Downloads
References
S. Walters, A. Rachid, A. Mpanda: On Modelling and Control of Pantograph Catenary Systems, In: PACIFIC 2011, Amiens, France, 2011
C. Nituca, A. Rachid, L. Cantemir, G. Chirac, Alina Gheorghiu: Constructive and experimental aspects regarding the electric power collecting for very high speed traction, In The 6th International Conference on Electromechanical and power systems, Chişinău, October 2007
A. Collina, A. Facchinetti, F. Fossati: An application of active control to the collector of an high‐speed pantograph: simulation and laboratory tests, Proc.of the 44th IEEE Conf. on Decision and Control, and European Control Conference 2005 Seville, Spain, pp. 4602‐4609, 2005
R. Garg, P. Mahajan, P. Kumar: Effect of Controller Parameters on Pantograph‐ Catenary System, American Int. J. of Research in Science, Technology, Engineering & Mathematics, 2(2), March‐May, 2013, pp. 233‐239
M. Carnevale: Innovative Solutions for Improving Pantograph Dynamics and Current Collection, Ph. D. Thesis, Politecnico di Milano, Milan, Italy, 2011
A. Pisano, E. Usai: Contact force regulation in wire‐actuated pantographs via variable structure control and frequency‐domain techniques, Int. J. of Control, vol. 81 (11), pp. 1747‐1762, 2008
A. Rachid: Pantograph catenary control and observation using the LMI approach, 50th IEEE Conf. on Decision and Control and European Control Conf. Orlando, USA, pp. 2287‐2292, 2011
J.W. Kim, H.C. Chae, B.S. Park, S.Y. Lee, et. al., State sensitivity analysis of the pantograph system for a high‐speed rail vehicle considering span length and static uplift force. J. of Sound and Vibration vol. 303, pp. 405–427, 2007
Y.H. Cho: Numerical simulation of the dynamic responses of railway overhead contact lines to a moving pantograph considering a nonlinear dropper. J. Sound and Vibration vol. 315, pp. 433–454, 2008
A. Collina, S. Bruni: Numerical Simulation of Pantograph‐Overhead Equipment Interaction, Vehicle System Dynamics, Vol. 38, No. 4, pp. 261‐291, 2002
N. Zhou, W. Zhang: Investigation on dynamic performance and parameter optimization design of pantograph and catenary system, Finite Elements in Analysis and Design vol. 47, pp. 288–295, 2011
P. Nåvik, A. Rønnquist, S. Stichel: Identification of system damping in railway catenary wire systems from full‐scale measurements, Engineering Structures, vol. (113), pp. 71– 78, 2016.
S. Liu, L. Wu, X. Zhu: Researchof Pantograph–Catenary Active Vibration Control System Based on NARMA‐L2 Model, Proc. of 2015 Int. Conf. on Electrical and Information Technologies for Rail Transportation, Vol. 377, pp. 803‐810, 12 March 2016
M.A. Abdullah, A. Ibrahim, Y. Michitsuji, M. Nagai: Active control of high‐speed railway vehicle pantograph considering vertical body vibration, Int. J. of Mechanical Engineering and Technology (IJMET), Vol. 4, Issue 6, pp. 263‐274, November ‐December 2013
D. Guida, C. M. Pappalardo: Development of a Closed‐Chain Multibody Model of a High‐Speed Railway Pantograph for Hybrid Motion/Force Control of the Pantograph/Catenary Interaction, Int. J. of Mechanical Engineering and Industrial Design, vol. 3(5), pp. 45‐85, 2013
L. Cantemir, A. Rachid, C. Nituca, C.I. Barbanta, G. Chiriac, A.P. Alexandrescu: Patent No. 128199/28.02.2018, OSIM, Romania, Echipament de actionare electromagnetic a unui culegator de curent de tip pantograph, 2018
Y.J. Huang: Discrete fuzzy variable structure control for pantograph position control, Electrical Engineering, vol. 86.3, pp. 171‐177, 2004
E. Karaköse, M.T. Gençoğlu: Adaptive fuzzy control approach for dynamic pantograph‐ catenary interaction, In: MECHATRONIKA, 15th International Symposium, IEEE, pp. 1‐5, 2012
F.J. Lin, R.J. Wai: Hybrid Control Using Recurrent Fuzzy Neural Network for Linear‐ Induction Motor Servo Drive, IEEE Transactions on Fuzzy Systems, Vol. 9, No. 1, pp. 102‐115, 2001
Gh. Livinţ, M. Petrescu, P. Livinţi: Modeling and control for linear induction motor electrical drive; Buletinul Institutului Politehnic Iaşi, Tomul XLVIII, (LII), Fasc. 5, 2002 C.I Huang, K.C. Hsu, H.H. Chiang, K.Y. Kou, T.T. Lee: Adaptive Fuzzy Sliding Mode Control of Linear Induction Motors with Unknown End Effect Consideration, Proceedings of the 2012 International Conference on Advanced Mechatronic Systems, Tokyo, Japan, September 18‐21, pp. 626‐631, 2012
M.A. Nasr Khoidja, M.A. Ouaz, B. Ben Salah, P. Brochet: Control of Velocity for a Linear Induction Motor, International Conference on Machine Intelligence, Tozeur – Tunisia, pp. 91‐95, November 5‐7, 2015
F.L. Lin, P.K. Huang, W.D. Chou: Genetic Algorithm Based Recurrent Fuzzy Neural Network For Linear Induction Motor Servo Drive, Journal of the Chinese Institute of Engineers, Vol. 30, No. 5, pp. 801‐817, 2007
I. Boldea, S.A. Nasar: Linear Motion Electromagnetic Devices, Taylor & Francis November 5, 2001
R.J. Wai: Development of Intelligent Position Control System Using Optimal Design Technique, IEEE Transactions on Industrial Electronics, vol. 50, no. 1, pp. 218‐231, Feb. 2003
C. Nituca: Probleme de captare a curentului electric de la linia de contact pentru vehicule acţionate electric, Universitatea Tehnică ”Gheorghe Asachi” din Iaşi, 2003
L.X. Wang: Adaptive fuzzy systems and control: design and stability analysis, Englewood Cliffs, N.J.: PTR Prentice Hall, 1994
L.X. Wang: A Course in Fuzzy Systems and Control, Prentice Hall International Ed., 1996
L.X. Wang: Stable Adaptive Fuzzy Controllers with Application to Inverted Pendulum Tracking, IEEE Transactions on Systems, Man, and Cybernetics‐Part b: Cybernetics, vol. 26, no. 5, pp. 667‐691, October 1996
F. Wan, L.X. Wang, Y. Sun: One‐stepahead Adaptive Control for a General Class of Nonlinear Dynamic Systems based on Fuzzy Models, Proceedings of the American Control Conference Arlington, VA, pp. 4782‐4787, June 25‐27, 2001
C.M. Lin, C.F. Hsu: Recurrent‐Neural‐Network‐Based Adaptive‐Backstepping Control for Induction Servomotors, IEEE Transactions on Industrial Electronics, vol. 52, no. 6, pp. 1677‐ 1684, December 2005
