The Research of Magnetic Levitation System Based on Fuzzy Sliding-Mode Control

Abstract:

This paper develops a sliding-mode controller with fuzzy rules for the single magnetic levitation system with delay, different signals and interference. The control algorithm comprises a sliding-mode controller which is designed for enhancing robustness when plant uncertainties, and a fuzzy controller which is designed for smoothing the control input when switching at these boundary manifolds. An algorithm is presented for selecting the coefficients of the swithing plane such that the overall closed-loop system has stable eigenvalues. A control input is shown to be smoothing and overcome the chatter. The performance of the single magnetic levitation system is obtained by simulation and experimental results which show that the proposed fuzzy sliding-mode controller algorithm is effective for tracking different signals with interference.

• Periodical: Applied Mechanics and Materials (Volumes 380-384)
• Pages: 550-555
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.380-384.550
• Online since: August 2013
• Authors: Rong Rong Song, Zi Li Chen
• Keywords: Chatter, Different Signals, Fuzzy Sliding-Mode Control, Robustness, Single Magnetic Levitation System

References

[1] Alscher, H. Iguchi, M. et al.: Non-Contact Suspension and Propulsion Technology. Vehicle System Dynamics. vol. 12(1983), pp.259-289.

DOI: 10.1080/00423118308968756

[2] Trumper D L, Olson S M , Subrahmanyan P K: Linearizing Control of Magnetic Suspension. Systems, control systems technology., vol. 5, No. 4(1997), pp.427-438.

DOI: 10.1109/87.595924

[3] Matsuda, R, Nakagawa M, Yamada I. Multi Input-Output Control of Magnetically Suspended Linear Guide. Magnetics. vol. 20, No. 5(1984), pp.1690-1692.

DOI: 10.1109/tmag.1984.1063399

[4] Hac, A: Optimal Linear Preview Control of Active Vehicle Suspension. Decision and Control, 1990, Proceedings of the 29th IEEE Conference on. vol. 5(1990), pp.2779-2784.

DOI: 10.1109/cdc.1990.203284

[5] Haiping Du, Nong Zhang. Fuzzy Control for Nonlinear Uncertain Electro Hydraulic Active Suspensions with Input Constraint. Fuzzy systems. vol. 17(2009), pp.343-356.

DOI: 10.1109/tfuzz.2008.2011814

[6] Al-Holou N, Lahadhiri T, Dae Sung Joo, Weaver J, Al-Abbas F. Sliding Mode Neural Network Inference Fuzzy Logic Control for Active Suspension Systems. Fuzzy system. vol. 10(2002), pp.234-246.

DOI: 10.1109/91.995124

[7] Utkin V. I.: Variable Structure Systems with Sliding Modes. IEEE Transactions on Automatic Control. vol. 22, No. 2(1977), pp.212-222.

DOI: 10.1109/tac.1977.1101446

[8] LI Tao, FENG Yong, AN Chengquan: Design Method of Variable Weight Factor for Decreasing Chattering of Variable Structure Control System. Control and Decision. vol. 15, No. 6(2000), pp.645-648.

[9] Yang W Q， Zhang Y S: Electrostatic Suspension System with Sliding Mode Control . IEEE Transactions on Aerospace and Electronic Systems. vol. 28(1992), pp.605-609.

DOI: 10.1109/7.144586

[10] Nizar Al-Holou, Jonathan Weaver, Tarek Lahdhiri, Dae Sung Joo: Sliding Mode-Based Fuzzy Logic Controller for a Vehicle Suspension System. Proceedings of the American Control Conference, San Diego, California, June 1999, (1999) pp.4181-4192.

DOI: 10.1109/91.995124

[11] Yunde Xie, Wensen Chang: Electromagnetic (EMS) Modeling and Simulation of Maglev Train System in Vertical Direction . Journal of the China Railway Society. Vol. 4(1996), pp.47-54(in Chinese).