Model-free controller tuning based on DFT processing: Application to induction motor drives

Mohamed Amine Fnaiech, Sofiane Khadraoui, Hazem Nounou, Mohamed Nounou, Jaroslaw Guzinski, Haitham Abu-Rub, Aniruddha Datta, Shankar P. Bhattacharyya

Research output: Contribution to journalArticle

2 Citations (Scopus)


In this paper, we present a new approach based on discrete Fourier transform (DFT) analysis for controller tuning of the closed-loop system with unknown plant. The DFT analysis is used to process the closed-loop measurements collected online to derive the frequency response of an initial closed-loop system that does not provide a good performance. Based on the closed-loop frequency response data, we propose two methods for tuning PID controller parameters according to some desired closed-loop performance specifications. The proposed approach can be applied online because the closed-loop system does not need to be stopped for data collection. The tuning problem of rotor speed controllers of electric drives, is chosen as an example to experimentally validate our proposed method. Specifically, we are interested here in the control of an induction motor. The availability of high-performance computational and storage facilities greatly simplifies the collection of measured data used for controller tuning. The experimental results presented in this paper demonstrate the efficacy and usefulness of the proposed control design method in many industrial applications.

Original languageEnglish
Article number6866106
Pages (from-to)1013-1023
Number of pages11
JournalIEEE Journal of Emerging and Selected Topics in Power Electronics
Issue number4
Publication statusPublished - 1 Dec 2014



  • Discrete Fourier transform (DFT)
  • field-oriented control (FOC)
  • induction machine
  • measurement-based control
  • unknown mechanical model

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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