Adaptive PID control system with assigned robust stability

Takao Sato, Hiroshi Tajika, Ramon Vilanova, Yasuo Konishi

Research output: Contribution to journalArticleResearchpeer-review

6 Citations (Scopus)

Abstract

© 2018 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc. This paper presents a proportional-integral-derivative (PID) control system design method for discrete-time first-order plus dead-time plants. Because the relation between the tracking performance and the robust stability is the trade-off, the PID parameters of the PID control system are decided such that the tracking performance is optimized subject to the assigned robust stability, where the reference or disturbance response is selected as the tracking performance. In the proposed method, the PID parameters decision method is designed using a neural network with an extreme learning machine. Hence, the optimal PID parameters are obtained based on the trade-off between the tracking performance and the robust stability. Furthermore, the proposed design method is extended as the adaptive control, and hence an unknown or time-varying plant, is well controlled using the proposed method. © 2018 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.
Original languageEnglish
Pages (from-to)1169-1181
JournalIEEJ Transactions on Electrical and Electronic Engineering
Volume13
Issue number8
DOIs
Publication statusPublished - 1 Aug 2018

Keywords

  • PID control
  • adaptive control
  • discrete time
  • robust stability
  • sensitivity function

Fingerprint

Dive into the research topics of 'Adaptive PID control system with assigned robust stability'. Together they form a unique fingerprint.

Cite this