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Robust Adaptive Backstepping Control of Induction Motors Using Nonlinear Disturbance Observer  

Lee, Eun-Wook (충청대학 전기전자학부)
Publication Information
The Transactions of the Korean Institute of Electrical Engineers P / v.57, no.2, 2008 , pp. 127-134 More about this Journal
Abstract
In this paper, we propose a robust adaptive backstepping control of induction motors with uncertainties using nonlinear disturbance observer(NDO). The proposed NDO is applied to estimate the time-varying lumped uncertainty which are derived from unknown motor parameters and load torque, but NDO error does not converge to zero since the derivate of lumped uncertainty is not zero. Then the fuzzy neural network(FNN) is presented to estimate the NDO error such that the rotor speed to converge to a small neighborhood of the desired trajectory. Rotor flux and inverse time constant are estimated by the sliding mode adaptive flux observer. Simulation results are provided to verify the effectiveness of the proposed approach.
Keywords
Induction Motor; Nonlinear Disturbance Observer; Adaptive Backstepping Control; Sliding Mode Observer;
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Times Cited By KSCI : 1  (Citation Analysis)
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