Abstract
This paper presents the real-time application of a discrete-time inverse optimal control to a three-phase linear induction motor (LIM) in order to achieve trajectory tracking of a position reference. A recurrent high-order neural network (RHONN) is employed on-line to determine the model of the motor. The equipment and software employed are described as well as real-time trajectory tracking results.
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Lopez, V.G., Sanchez, E.N., Alanis, A.Y. (2014). Real-Time Implementation of a Neural Inverse Optimal Control for a Linear Induction Motor. In: Jamshidi, M., Kreinovich, V., Kacprzyk, J. (eds) Advance Trends in Soft Computing. Studies in Fuzziness and Soft Computing, vol 312. Springer, Cham. https://doi.org/10.1007/978-3-319-03674-8_16
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DOI: https://doi.org/10.1007/978-3-319-03674-8_16
Publisher Name: Springer, Cham
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