Adaptive command-filtered backstepping control for linear induction motor via projection algorithm
type: Item
instance of: scholarly article
title: Adaptive command-filtered backstepping control for linear induction motor via projection algorithm
zbMATH Open document ID: 1400.93241
DOI: 10.1155/2016/4720126
author: Yanyan Li
published in: Mathematical Problems in Engineering
publication date: 2018-10-12T00:00:00Z
review text: Summary: A theoretical framework of the position control for linear induction motors (LIM) has been proposed. First, indirect field-oriented control of LIM is described. Then, the backstepping approach is used to ensure the convergence and robustness of the proposed control scheme against the external time-varying disturbances via Lyapunov stability theory. At the same time, in order to solve the differential expansion and the control saturation problems in the traditional backstepping, command filter is designed in the control and compensating signals are presented to eliminate the influence of the errors caused by command filters. Next, unknown total mass of the mover, viscous friction, and load disturbances are estimated by the projection-based adaptive law which bounds the estimated function and simultaneously guarantees the robustness of the proposed controller against the parameter uncertainties. Finally, simulation results are given to illustrate the validity and potential of the designed control scheme.
Mathematics Subject Classification ID: 93C95
Mathematics Subject Classification ID: 93C40
zbMATH DE Number: 6953220
Wikidata QID: Q59131369
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2016/4720126
OpenAlex ID: W2519101283
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description: scientific article; zbMATH DE number 6953220