By Topic

Performance comparisons of model-free control strategies for hybrid magnetic levitation system

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $33
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
R. -J. Wai ; Dept. of Electr. Eng., Yuan Ze Univ., Chung Li, Taiwan ; J. -D. Lee

The study mainly focuses on the development of three model-free control strategies including a simple proportional-integral-differential (PID) scheme, a fuzzy-neural-network (FNN) control and an adaptive control for the positioning of a hybrid magnetic levitation (maglev) system. In general, the lumped-parameters dynamic model of a hybrid maglev system can be derived from the energy balance. In practice, the mathematical model can not be established precisely because this hybrid maglev system is inherently unstable in the levitated direction, and the relationships between current and electromagnetic force are highly nonlinear. To cope with the unavailable dynamics, model-free control design is used to handle the system behaviour. In this study the experimental results of PID, FNN and adaptive control schemes for the hybrid maglev system are reported. As can be seen from performance comparisons, the adaptive control system yields favorable control performance superior to that of PID and FNN control systems. Moreover, it not only has a learning ability similar to that of FNN control but also the simple control structure of PID control.

Published in:

IEE Proceedings - Electric Power Applications  (Volume:152 ,  Issue: 6 )