M. Aliasghary
12 Num-3rd Shaban Street, Khorramshahr Avenue, Zanjan, Iran
M. Teshnehlab
KN Toosi University, Seyyed Khandan, Shariati Street, Tehran, Iran
A. Jalilvand
Zanjan University, Zanjan, Iran
M. Aliyari Shoorehdeli
KN Toosi University, Seyyed Khandan, Shariati Street, Tehran, Iran
M.A. Nekoui
KN Toosi University, Seyyed Khandan, Shariati Street, Tehran, Iran
This study has developed classical and hybrid controllers for control of magnetic levitation system. Sliding mode and PID controllers are proposed as a classical controllers and neural network based controller is used for controlling a magnetic levitation system. Adaptive neural networks controller needs plant`s Jacobain, but here this problem solved by sliding surface and generalized learning rule in case to eliminate Jacobain problem. The simulation results show that these methods are feasible and more effective for magnetic levitation system control.
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How to cite this article
M. Aliasghary, M. Teshnehlab, A. Jalilvand, M. Aliyari Shoorehdeli and M.A. Nekoui, 2008. Hybrid Control of Magnetic Levitation System Based-on New Intelligent Sliding Mode Control. Journal of Applied Sciences, 8: 2561-2568.
DOI: 10.3923/jas.2008.2561.2568
URL: https://scialert.net/abstract/?doi=jas.2008.2561.2568
DOI: 10.3923/jas.2008.2561.2568
URL: https://scialert.net/abstract/?doi=jas.2008.2561.2568