Discrete-Time Adaptive Fuzzy Event-Triggered Command Filtered Control for Induction Motors With Input Saturation

Jiawei Zhang, Jinpeng Yu, Xinkai Chen, Jiapeng Liu

Research output: Contribution to journalArticlepeer-review

Abstract

In this brief, a discrete-time adaptive fuzzy event-triggered command filtered control scheme is proposed for induction motors (IMs) with input saturation. Firstly, the event-triggered (ET) mechanism is used to determine whether the adaptive law and controller need to be updated by setting trigger conditions, which decreases the wastage of communication resources. Secondly, the 'causal contradiction' of the conventional backstepping is addressed with the command filtering. In addition, to estimate the rotor angular velocity of IMs, the fuzzy observer is constructed and the fuzzy logic systems are employed to approximate the unknown nonlinear functions. Finally, simulation and experiment results indicate the effectiveness of the designed control scheme.

Original languageEnglish
Pages (from-to)1271-1275
Number of pages5
JournalIEEE Transactions on Circuits and Systems II: Express Briefs
Volume71
Issue number3
DOIs
Publication statusPublished - 2024 Mar 1

Keywords

  • Adaptive fuzzy control
  • command filtered backstepping
  • event-triggered mechanism
  • induction motors

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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