Abstract
To deal with the inverse model identification problem in motor variable frequency speed-regulating system, a new control method based on nonlinear kernel ridge regression is proposed. On the basis of reversible analysis of the original system, the-α order reversible model approximated by kernel ridge regression is connected with original system, and the pseudo-linear combined system is constructed. Experimental results show that the combined method can realize the linearization of the induction motor control system successfully, and high performance of speed control can be ensured for systems with inverse model identification errors and changeable load.
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© 2011 Springer-Verlag Berlin Heidelberg
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Wang, F., Ding, J., Hu, Z. (2011). Induction Motor Speed-Regulating Control System Based on Nonlinear Kernel Ridge Regression. In: Huang, DS., Gan, Y., Bevilacqua, V., Figueroa, J.C. (eds) Advanced Intelligent Computing. ICIC 2011. Lecture Notes in Computer Science, vol 6838. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24728-6_88
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DOI: https://doi.org/10.1007/978-3-642-24728-6_88
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-24727-9
Online ISBN: 978-3-642-24728-6
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