Enhanced L1 adaptive control for a benchmark piezoelectric-actuated system via fuzzy approximation

Hassan A. Yousef, Mohamed Hamdy*, Ashraf Saleem, Kyrillos Nashed, Mostefa Mesbah, Muhammad Shafiq

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)

Abstract

This paper investigates the problem of the high precision tracking control of piezoelectric actuators (PEAs) without using the inverse of the uncertain hysteresis. Based on fuzzy system approximator and particle swarm optimization (PSO) algorithm, a proposed enhanced L1 adaptive controller is developed. The proposed controller provides fast and robust adaptation simultaneously with guaranteed desired transient performance. Moreover, it has a simple form and requires fewer adaptation parameters. The adaptation gain is determined via PSO algorithm. The proposed controller is tested on a lab-scale PEA system. Experimental results with comparative studies with different techniques have been developed. The simulation results reveal that the proposed controller outperforms the other controllers in terms of normalized root-mean-square and maximum tracking errors for different frequencies.

Original languageEnglish
Pages (from-to)1329-1343
Number of pages15
JournalInternational Journal of Adaptive Control and Signal Processing
Volume33
Issue number9
DOIs
Publication statusPublished - 2019

Keywords

  • adaptive fuzzy
  • hysteresis
  • micropositioning
  • piezoelectric actuators

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Signal Processing
  • Electrical and Electronic Engineering

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