Adaptive dynamic surface control for dual-motor driving system with H performance

Minlin Wang, Xuemei Ren*

*Corresponding author for this work

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

1 Citation (Scopus)

Abstract

In this paper, a novel adaptive tracking control method is proposed for the dual-motor driving system (DDS) with parameter uncertainties and external disturbances. The DDS is a multi-variable, nonlinear and strong-coupling system which increases the difficulty of the controller design. To handle this problem, a set of alternative state variables is introduced to transform the DDS into a strict feedback form. Based on the transformed system, an adaptive controller is constructed by integrating the H ∞ technique into the dynamic surface control to guarantee that the output tracking error satisfies the H ∞ performance. More importantly, the designed controller cannot only attenuate the influences of external disturbances on the system output, but also have a strong robustness for system parameter variations. Simulation results are conducted to validate the effectiveness of the proposed method.

Original languageEnglish
Title of host publicationProceedings of 2016 Chinese Intelligent Systems Conference
EditorsYingmin Jia, Junping Du, Weicun Zhang, Hongbo Li
PublisherSpringer Verlag
Pages335-344
Number of pages10
ISBN (Print)9789811023378
DOIs
Publication statusPublished - 2016
EventInternational Conference on Chinese Intelligent Systems Conference, CISC 2016 - Xiamen, China
Duration: 1 Jan 2016 → …

Publication series

NameLecture Notes in Electrical Engineering
Volume404
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

ConferenceInternational Conference on Chinese Intelligent Systems Conference, CISC 2016
Country/TerritoryChina
CityXiamen
Period1/01/16 → …

Keywords

  • Adaptive control
  • Dual-motor driving system
  • Dynamic surface control
  • H ∞ performance

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