Real time optimization for nonlinear systems using algorithmic controller

Tomoaki Kobayashi, Michiyuki Magomo, Joe Imae, Kazutaka Yoshimizu, Guisheng Zhai

Research output: Contribution to journalArticlepeer-review

Abstract

In this paper, a new on-line controller for nonlinear dynamical systems is proposed to realize controller realizes dynamic optimization in real time with closed loop control. The proposed method is algorithmic controller, which is based on the algorithms of numerical solutions of optimal control problems. The usefulness of the algorithmic controller is clarified by numerical simulations. Moreover, it is applied to a mechanical system whose fast-sampling is required, and the experimental results show the proposed controller works well in real time.

Original languageEnglish
Pages (from-to)1544-1550
Number of pages7
JournalNihon Kikai Gakkai Ronbunshu, C Hen/Transactions of the Japan Society of Mechanical Engineers, Part C
Volume71
Issue number5
DOIs
Publication statusPublished - 2005 May
Externally publishedYes

Keywords

  • Algorithmic Controller
  • Computer Control
  • Nonlinear Control
  • Optimal Control

ASJC Scopus subject areas

  • Mechanics of Materials
  • Mechanical Engineering
  • Industrial and Manufacturing Engineering

Fingerprint

Dive into the research topics of 'Real time optimization for nonlinear systems using algorithmic controller'. Together they form a unique fingerprint.

Cite this