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author:

Yu, Wentao (Yu, Wentao.) [1] | Cheng, Guoyang (Cheng, Guoyang.) [2]

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EI

Abstract:

Large-stroke rapid motion is required in many industrial servo systems (e.g. pick-and-place applications), on which constraints of control input and motion speed are usually imposed. This paper presents a hybrid control scheme for large-stroke rapid motion in such systems. The controller resorts to the time-optimal control (TOC) for maximum acceleration initially and then switches into a linear control law to achieve smooth settling. A speed regulation stage is inserted in the tracking process to prevent violating the speed constraint. To tackle the unmeasured speed and unknown disturbance, an extended state observer (ESO) can be included in the controller. The controller is applied to a permanent magnet synchronous motor (PMSM) servo system for large-stroke position regulation. Digital simulation via MATLAB is conducted first, followed by an experimental verification using a TMS320F28335 board. The results confirm that the proposed controller can track a wide range of target references with desirable performance under speed constraint and load disturbance and has a competitive advantage over the popular active disturbance-rejection control (ADRC) scheme. © The Author(s) 2021.

Keyword:

Competition Controllers Disturbance rejection Linear control systems MATLAB Motion control Permanent magnets Servomechanisms Speed Speed control Speed regulators

Community:

  • [ 1 ] [Yu, Wentao]College of Electrical Engineering and Automation, Fuzhou University, China
  • [ 2 ] [Cheng, Guoyang]College of Electrical Engineering and Automation, Fuzhou University, China

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Source :

Transactions of the Institute of Measurement and Control

ISSN: 0142-3312

Year: 2022

Issue: 7

Volume: 44

Page: 1424-1439

1 . 8

JCR@2022

1 . 7 0 0

JCR@2023

ESI HC Threshold:66

JCR Journal Grade:3

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: 1

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