Design of adaptive I-PD control systems using delta operator based on partial model matching

T. Shiota, H. Ohmori

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Proportional-Integral-Derivative (PID) controllers are undoubtedly the most employed controllers in industry, and various methods of the parameter tuning in PID control are proposed until now. As a way to tune the PID parameter systematically, the partial model matching method from the lowest order term to as higher the term as possible is adopted by Kitamori. However, since this partial model matching method uses a fixed PID parameter, when the information on the controlled object obtained by beforehand has uncertainty, the control performance may Performance deteriorates. In this paper, we propose an adaptive IPD controller for Single-Input/Single-Output(SISO) systems using delta operator based on the partial model matching method. In addition, we show the effectiveness of the proposed method by the simulation result.

Original languageEnglish
Title of host publication11th IFAC International Workshop on Adaptation and Learning in Control and Signal Processing, ALCOSP 2013 - Proceedings
PublisherIFAC Secretariat
Pages518-522
Number of pages5
Edition11 PART
ISBN (Print)9783902823373
DOIs
Publication statusPublished - 2013 Jan 1
Event11th IFAC International Workshop on Adaptation and Learning in Control and Signal Processing, ALCOSP 2013 - Caen, France
Duration: 2013 Jul 32013 Jul 5

Publication series

NameIFAC Proceedings Volumes (IFAC-PapersOnline)
Number11 PART
Volume46
ISSN (Print)1474-6670

Other

Other11th IFAC International Workshop on Adaptation and Learning in Control and Signal Processing, ALCOSP 2013
CountryFrance
CityCaen
Period13/7/313/7/5

Keywords

  • Discrete time
  • Model reference adaptive control
  • PID control
  • SISO
  • Transfer functions

ASJC Scopus subject areas

  • Control and Systems Engineering

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