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  • In Jour Smart Sensing And Intelligent Systems

 

Research Article | 27-December-2017

Hybrid Intelligent Method of Identifying Stator Resistance of Motorized Spindle

Aiming at the problem that changes of nonlinear dynamic resistance of stator affect the performance of speed sensorless vector control system, a hybrid computing intelligence approach is used in the identification of stator resistance of motorized spindle. The partial least squares (PLS) regression is combined with neural network to solve the problem of few samples and multi-correlation of variables in complicated data modeling. The PLS method is used to extract variable components from sample

Lixiu Zhang, Yuhou Wu, Ke Zhang

International Journal on Smart Sensing and Intelligent Systems, Volume 7 , ISSUE 2, 781–797

Article | 01-March-2016

NEW ADAPTIVE SLIDING-MODE OBSERVER DESIGN FOR SENSORLESS CONTROL OF PMSM IN ELECTRIC VEHICLE DRIVE SYSTEM

In this study, a new adaptive sliding-mode observer is proposed to estimate the rotor position and speed for sensorless control of permanent-magnet synchronous motor (PMSM) in an electric vehicle drive system. This observer can effectively reduce the estimation errors caused by the inherent chattering phenomenon for a conventional sliding-mode observer and the stator resistance uncertainty due to the variation of motor temperature. This new sliding-mode observer is designed by using a

Xiong Xiao, Yongjun Zhang, Jing Wang, Haiping Du

International Journal on Smart Sensing and Intelligent Systems, Volume 9 , ISSUE 1, 377–396

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