A switching strategy with a sliding mode control based on sub-optimal energy consumption for dual-motor servo systems with backlash

Minlin Wang*, Xuemei Ren, Dongwu Li

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

Aiming at a waste of energy resulted from using bias torque method for dual-motor servo systems with backlash, this paper presents a switching strategy with a sliding mode control based on sub-optimal energy consumption. A switching strategy is proposed to guarantee that one motor can contact with the load, and the other motor can go through the backlash quickly when the systems stay in the reversing direction stage. According to the maximum principle of optimal control, the optimal energy control law with an inequality constraint is derived by solving the Hamilton canonical equation. A sliding mode controller is designed based on optimal control and the energy consumption for the systems can be greatly reduced by this design. Meanwhile, the nonlinear influence of the backlash can be effectively eliminated through this switching strategy. Simulation results are conducted to validate the tracking performance and less energy consumption of the proposed method.

Original languageEnglish
Title of host publicationProceedings of the 33rd Chinese Control Conference, CCC 2014
EditorsShengyuan Xu, Qianchuan Zhao
PublisherIEEE Computer Society
Pages8956-8961
Number of pages6
ISBN (Electronic)9789881563842
DOIs
Publication statusPublished - 11 Sept 2014
EventProceedings of the 33rd Chinese Control Conference, CCC 2014 - Nanjing, China
Duration: 28 Jul 201430 Jul 2014

Publication series

NameProceedings of the 33rd Chinese Control Conference, CCC 2014
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Conference

ConferenceProceedings of the 33rd Chinese Control Conference, CCC 2014
Country/TerritoryChina
CityNanjing
Period28/07/1430/07/14

Keywords

  • Dual-motor servo systems with backlash
  • energy sub-optimal control
  • sliding mode control
  • switching strategy

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