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- W270756064 abstract "Abstract : This report results from a contract tasking Lebanese University-Faculty of Engineering, Section I as follows: The purpose of the work is a simulating investigation of the use of artificial neural networks (ANN) in conjunction of proportional-integral-derivative (PID) controllers in control of non-contacting active magnetic bearings (AMB). The objective of this technique is to reduce the effect of the unbalance on the rotor displacement without the estimating perturbation. The work consists of the following: 1) application of artificial neural networks (multi-layer perceptrons) for nonlinear model of the active magnetic bearing by using the dynamic back-propagation methods for the adjustment of parameters; and 2) application of artificial neural networks in controlling closed-loop active magnetic bearing and comparison with the use of PID controllers. The obtained results should create a basis for a further research program connecting the fundamental knowledge with practical applications." @default.
- W270756064 created "2016-06-24" @default.
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- W270756064 date "2001-04-17" @default.
- W270756064 modified "2023-09-24" @default.
- W270756064 title "Neural Networks Control of a Magnetic Levitation System" @default.
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- W270756064 doi "https://doi.org/10.21236/ada388065" @default.
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