A Differential Particle Scheme with Successful Parent Selection and its Application to PID Control Tuning

Victor Parque*

*この研究の対応する著者

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

Proportional-integral-derivative (PID) control is ubiquitous in industrial automation tasks, and the parameter tuning of the gains is challenging due to nonlinearity and stagnation in local optima. In this paper we present a differential particle scheme based on stagnation-based selection mechanism, and evaluate its effectiveness in the stabilization of a nonlinear inverted pendulum and a magnetic levitation system. Our computational experiments show the feasibility to avoid stagnation, the lower variability of convergence over independent runs, and the feasibility to converge to significantly better fitness values compared to relevant heuristics in the literature. We believe our approach offers the building blocks to build stagnation-free nature inspired optimization algorithms useful for adaptive control and tuning.

本文言語English
ホスト出版物のタイトル2021 IEEE Congress on Evolutionary Computation, CEC 2021 - Proceedings
出版社Institute of Electrical and Electronics Engineers Inc.
ページ522-529
ページ数8
ISBN(電子版)9781728183923
DOI
出版ステータスPublished - 2021
イベント2021 IEEE Congress on Evolutionary Computation, CEC 2021 - Virtual, Krakow, Poland
継続期間: 2021 6月 282021 7月 1

出版物シリーズ

名前2021 IEEE Congress on Evolutionary Computation, CEC 2021 - Proceedings

Conference

Conference2021 IEEE Congress on Evolutionary Computation, CEC 2021
国/地域Poland
CityVirtual, Krakow
Period21/6/2821/7/1

ASJC Scopus subject areas

  • モデリングとシミュレーション
  • 計算数学

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