2016
DOI: 10.21307/ijssis-2017-875
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New Adaptive Sliding-Mode Observer Design For Sensorless Control Of Pmsm In Electric Vehicle Drive System

Abstract: Abstract-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 hyperbolic tange… Show more

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Cited by 8 publications
(4 citation statements)
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“…Differentiators are used extensively in modern real‐time applications such as proportional–integral–derivative controllers and navigation, guidance, and controls [120]. For example, calculating real‐time velocity and acceleration from global positioning system position data for navigation is commonly done on missiles, aeroplanes, and cell phones.…”
Section: Introductionmentioning
confidence: 99%
“…Differentiators are used extensively in modern real‐time applications such as proportional–integral–derivative controllers and navigation, guidance, and controls [120]. For example, calculating real‐time velocity and acceleration from global positioning system position data for navigation is commonly done on missiles, aeroplanes, and cell phones.…”
Section: Introductionmentioning
confidence: 99%
“…Most of this work has been done on their power sources and structures, and on its electric drive system. Work on the electric drive system was of great interest to car manufacturers and researchers [7].…”
Section: Introductionmentioning
confidence: 99%
“…The sliding mode control of a stochastic system is explained in [25]. In [26, 27], the sliding mode methods in electric vehicles are addressed. An observer‐based adaptive neural network control is addressed in [28].…”
Section: Introductionmentioning
confidence: 99%