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author:

Huang, Yanwei (Huang, Yanwei.) [1] | Liu, Zhenyi (Liu, Zhenyi.) [2] | Xie, Yuqing (Xie, Yuqing.) [3] | Liu, Zheyi (Liu, Zheyi.) [4]

Indexed by:

EI

Abstract:

To suppress uncertainties caused by parametric variations or disturbances, an adaptive switching gain (ASG) is proposed for integral sliding mode control (ISMC) to regulate speed in permanent magnet synchronous motors (PMSMs). According to system uncertainties, the ASG is designed to adjust the switching gain to suppress the chattering. The adaptive law is a positive value resulting in an increment of the switching gain when the tracking trajectory is outside the boundary layer. Conversely, it is negative with a decrement of the gain. Further, it improves a convergent rate by the function of the reciprocal of the tracking error when the trajectory enters the sliding phase. ISMC with the ASG is applied to a PMSM experiment with the result that this method can effectively suppress high frequency chattering and shows excellent steady state performance of the current loop and speed in a servo system. © TÜBTAK

Keyword:

Boundary layers Electric machine control Permanent magnets Sliding mode control Speed regulators Switching Synchronous motors

Community:

  • [ 1 ] [Huang, Yanwei]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, China
  • [ 2 ] [Liu, Zhenyi]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, China
  • [ 3 ] [Xie, Yuqing]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, China
  • [ 4 ] [Liu, Zheyi]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, China

Reprint 's Address:

  • [huang, yanwei]college of electrical engineering and automation, fuzhou university, fuzhou, china

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Source :

Turkish Journal of Electrical Engineering and Computer Sciences

ISSN: 1300-0632

Year: 2019

Issue: 4

Volume: 27

Page: 3208-3218

0 . 6 8 2

JCR@2019

1 . 2 0 0

JCR@2023

ESI HC Threshold:150

JCR Journal Grade:4

CAS Journal Grade:4

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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