Adaptive Implicit Inverse Control for a Class of Butterfly-Like Hysteretic Nonlinear Systems and Its Application to Dielectric Elastomer Actuators

Yue Wang, Xiuyu Zhang, Zhi Li, Xinkai Chen, Chun Yi Su

Research output: Contribution to journalArticlepeer-review

Abstract

In this article, a butterfly-like Prandtl-Ishlinskii (PI) hysteresis model and a novel neural network based adaptive implicit inverse control scheme to describe and control the butterfly-like hysteresis are proposed. The main contributions are: 1) a butterfly-like PI model is developed for the purpose of predicting the hysteresis effects and the model is feasible for controller design; 2) an implicit inverse control scheme especially for mitigating the butterfly-like hysteresis is implemented, which avoids the construction of the direct inverse of the butterfly-like PI model; 3) an adaptive implicit inverse control approach, which integrates the neural network and the implicit inverse technique into the output-feedback control is developed for eliminating the butterfly-like hysteresis and an arbitrarily small L∞ norm of tracking error is achieved. The proposed modeling and control methods are validated experimentally via the dielectric elastomer actuator based motion control platform.

Original languageEnglish
Pages (from-to)731-740
Number of pages10
JournalIEEE Transactions on Industrial Electronics
Volume70
Issue number1
DOIs
Publication statusAccepted/In press - 2022

Keywords

  • Butterfly-like hysteresis
  • dielectric elastomer actuator (DEA)
  • implicit inverse
  • robust adaptive control

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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