Adaptive Neural Piecewise Implicit Inverse Controller Design for a Class of Nonlinear Systems Considering Butterfly Hysteresis

Xiuyu Zhang, Hongzhi Xu, Zhi Li, Feng Shu, Xinkai Chen

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

In this article, an adaptive neural piecewise implicit inverse control strategy is proposed to effectively compensate for butterfly hysteresis effectively. First, a new butterfly Krasnoselskii-Pokrovskii (BKP) model is developed for the double-loop butterfly hysteresis characteristics. Second, an adaptive neural piecewise implicit inverse control strategy is designed to mitigate the butterfly-like hysteresis without constructing its analytical inverse model. Finally, experimental results on the dielectric elastomer actuator (DEA) motion control platform demonstrate the effectiveness of the adaptive neural piecewise implicit inverse control strategy.

Original languageEnglish
Pages (from-to)3695-3706
Number of pages12
JournalIEEE Transactions on Systems, Man, and Cybernetics: Systems
Volume53
Issue number6
DOIs
Publication statusPublished - 2023 Jun 1

Keywords

  • Adaptive neural control
  • dielectric elastomer actuators (DEAs)
  • hysteresis nonlinearity
  • implicit inverse compensation

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Computer Science Applications

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