文章基本信息

标题：Neural Sliding Mode Control for Induction Motors Using Rapid Control Prototyping
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作者：Eduardo Quintero-Manriquez ; Edgar N. Sanchez ; Ronal G. Harley 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2017
卷号：50
期号：1
页码：9625-9630
DOI：10.1016/j.ifacol.2017.08.1711
语种：English
出版社：Elsevier
摘要：AbstractThis paper presents a discrete-time sliding mode control synthesis based on a neural network model for a 5 HP induction motor. A recurrent high order neural network (RHONN), trained with an extended Kalman filter (EKF) is used to identify the motor model, which is robust to disturbances and parameter variations. Sliding mode controller is used to force the system to track a speed reference and a flux magnitude. A super-twisting observer is implemented to estimate the magnetic fluxes. The neural control is implemented on a rapid control prototyping (RCP) system, which is composed of a TMS320F28069M MCU and provides an easy transition from the model-based control system synthesis in MATLAB/Simulink to embedded code-based target implementation. Experimental results illustrate the performance of the neural control scheme.
关键词：KeywordsReal-timenonlinear systemsinduction motorsneural-network modelsextended Kalman filterssliding mode controlrapid control prototypingmicrocontroller