Abstract
A nonlinear adaptive state-feedback input-output linearizing control is designed for a fifth order model of an induction motor which includes both electrical and mechanical dynamics under the assumptions of linear magnetic circuits. The control algorithm contains a nonlinear identification scheme which asymptotically tracks the true values of the load torque and rotor resistance, which are assumed to be constant but unknown. Once those parameters are identified, the two control goals of regulating rotor speed and rotor flux amplitude are decoupled. Full state measurements are required.
We would like to thank Prof. A. Bellini for providing us the data of the motor and for useful discussions. This work was supported in part by Ministero della Università e della Ricerca Scientifica e Tecnologica (fondi 40%).
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© 1991 Springer-Verlag
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Marino, R., Peresada, S., Valigi, P. (1991). Adaptive nonlinear control of induction motors via extended matching. In: Kokotović, P.V. (eds) Foundations of Adaptive Control. Lecture Notes in Control and Information Sciences, vol 160. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0044781
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DOI: https://doi.org/10.1007/BFb0044781
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