Measurement-based control approach for tuning PID controllers: application to induction machines

S. Khadraoui, M. A. Fnaiech, Hazem Nounou, Mohamed Nounou, J. Guzinski, Haitham Abu-Rub, A. Datta, S. P. Bhattacharyya

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

This paper presents an approach to design proportional - integral–derivative controllers for induction machines using measurements. Most control methods developed for induction machines are generally based on mathematical models. Due to complex dynamics of induction machines, identified models are often unable to perfectly describe their behaviour. Thus, the system performance will be limited by the quality of the identified model. Hence, developing control methods that do not require the availability of system model is advantageous. Here, we propose an approach that uses the frequency response data to directly design controllers. The main idea here is to find controller parameters so that the closed-loop frequency response fits a desired frequency response. Its main advantage is that errors associated with the modelling process are avoided. Moreover, the control design process does not depend on the order and complexity of the plant. A practical application to induction machines illustrates the efficacy of the proposed approach.

Original languageEnglish
Pages (from-to)179-196
Number of pages18
JournalJournal of Control and Decision
Volume3
Issue number3
DOIs
Publication statusPublished - 2 Jul 2016

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Keywords

  • frequency domain data
  • global optimisation
  • induction machines
  • measurement-based control
  • PID controllers

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Networks and Communications
  • Signal Processing
  • Information Systems
  • Artificial Intelligence
  • Human-Computer Interaction
  • Control and Optimization

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