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- W2022841281 abstract "This paper presents a robust nonlinear controller for speed and flux control of a linear induction motor (LIM) drive with taking the primary end effect into account. An ideal nonlinear controller is first designed based on adaptive backstepping control approach for LIM low and high speed operation. Then the backstepping control and artificial neural networks (ANN ) are combined in order to design a robust nonlinear controller that is capable of preserving the drive system robustness subject to all parameter variations and uncertainties. The overall system stability is proved by Lyapunov theory. Finally, The effectiveness and validity of the proposed controller is supported by computer simulation results." @default.
- W2022841281 created "2016-06-24" @default.
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- W2022841281 date "2006-01-01" @default.
- W2022841281 modified "2023-10-14" @default.
- W2022841281 title "Robust Backstepping Control of Linear Induction Motor with Primary End Effect using Artificial Neural Networks" @default.
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- W2022841281 doi "https://doi.org/10.1109/icit.2006.372302" @default.
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