TY - GEN
T1 - PREVIEW CONTROL OF A SUPERCONDUCTING MAGLEV VEHICLE
AU - Nagurka, Mark L.
AU - Wang, Ssu Kuei
N1 - Publisher Copyright:
© 1996 American Society of Mechanical Engineers (ASME). All rights reserved.
PY - 1996/1/1
Y1 - 1996/1/1
N2 - A dynamic model of a magnetically-levitated (maglev) vehicle negotiating an elevated guideway is presented. The vehicle employs an electromagnetic suspension (EMS) system with canted magnets that provide simultaneous levitation and guidance. The modehng effort is focused on deriving a reaUstic dynamic model that includes a five degree-of-freedom nonlinear vehicle model, a superconducting magnet model, and a simply supported, multi-spanned guideway model. The maglev vehicle/guideway model is the basis for testing a proposed control strategy consisting of linear quadratic (LQ) optimal control with a preview (feedforward) feature. The LQ optimal control is augmented with integral action to avoid steady-state gap errors which might otherwise arise from guideway offsets. Simulation studies explore the effectiveness of the controller. The results reveal that the magnet module input voltages and gap errors decrease as the preview distance increases. However, the vehicle performance is limited due to a tradeoff between the carbody acceleration and the gap error.
AB - A dynamic model of a magnetically-levitated (maglev) vehicle negotiating an elevated guideway is presented. The vehicle employs an electromagnetic suspension (EMS) system with canted magnets that provide simultaneous levitation and guidance. The modehng effort is focused on deriving a reaUstic dynamic model that includes a five degree-of-freedom nonlinear vehicle model, a superconducting magnet model, and a simply supported, multi-spanned guideway model. The maglev vehicle/guideway model is the basis for testing a proposed control strategy consisting of linear quadratic (LQ) optimal control with a preview (feedforward) feature. The LQ optimal control is augmented with integral action to avoid steady-state gap errors which might otherwise arise from guideway offsets. Simulation studies explore the effectiveness of the controller. The results reveal that the magnet module input voltages and gap errors decrease as the preview distance increases. However, the vehicle performance is limited due to a tradeoff between the carbody acceleration and the gap error.
UR - https://www.scopus.com/pages/publications/85169472789
U2 - 10.1115/IMECE1996-0328
DO - 10.1115/IMECE1996-0328
M3 - Conference contribution
AN - SCOPUS:85169472789
T3 - ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE)
SP - 125
EP - 132
BT - Dynamic Systems and Control
PB - American Society of Mechanical Engineers (ASME)
T2 - ASME 1996 International Mechanical Engineering Congress and Exposition, IMECE 1996
Y2 - 17 November 1996 through 22 November 1996
ER -