Discrete-time reduced order neural observer for Linear Induction Motors
作者： Alma Y. Alanis , Edgar N. Sanchez , Miguel Hernandez-Gonzalez , Luis J. Ricalde
DOI: 10.1109/CIASG.2011.5953330
关键词: Artificial neural network 、 Linear induction motor 、 Control theory 、 Alpha beta filter 、 Observer (quantum physics) 、 Kalman filter 、 Extended Kalman filter 、 Discrete time and continuous time 、 Induction motor 、 Computer science
摘要: This paper focusses on a discrete-time reduced order neural observer applied to Linear Induction Motor (LIM) model, whose model is assumed be unknown. robust in presence of external and internal uncertainties. The proposed scheme based recurrent high network (RHONN) trained with an extended Kalman filter (EKF)-based algorithm, using parallel configuration. Simulation results are included illustrate the applicability scheme.
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