论文信息 - Adaptive robust nonlinear control of a magnetic levitation system via DSC technique

Adaptive robust nonlinear control of a magnetic levitation system via DSC technique

This paper considers the position tracking problem of a popular magnetic levitation system in the presence of modeling errors due to uncertainties of physical parameters. The recently developed dynamic surface control (DSC) technique is modified and applied to the system under study, to overcome the problem of “explosion of terms” associated with the backstepping design procedure. The input‐to‐state stability (ISS) property is ensured by the robust nonlinear damping terms, and the ultimate control error bounds are made sufficiently small by the adaptive laws. Experimental results are included to show the excellent position tracking performance of the designed control system. © 2004 Wiley Periodicals, Inc. Electr Eng Jpn, 149(4): 42–51, 2004; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/eej.20092

[1] Miroslav Krstic,et al. Nonlinear and adaptive control de-sign , 1995 .

[2] P. P. Yip,et al. Multiple Sliding Surface Control: Theory and Application , 2000 .

[3] Dan Wang,et al. Neural network based adaptive dynamic surface control for nonlinear systems in strict-feedback form , 2001, Proceedings of the 40th IEEE Conference on Decision and Control (Cat. No.01CH37228).

[4] Zi‐Jiang Yang,et al. Adaptive Robust Nonlinear Control of a Voltage-Controlled Magnetic Levitation System , 2002 .