Adaptive fuzzy mimo control of induction motors

Hasan A. Yousef*, Manal A. Wahba

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

31 Citations (Scopus)


This paper presents a new adaptive fuzzy control technique applied to induction motors (IM). The control task of such motors is considered complicated by the fact that these motors have uncertain time-varying parameters and are subjected to unknown load disturbance. A nonlinear multi-input multi-output (MIMO) state feedback linearizing control is designed for the IM modeled in a stationary reference frame. An adaptive fuzzy controller is proposed to estimate the unknown nonlinear functions that appear in the state feedback input-output linearizing control. Simulation results are presented to validate the effectiveness of the proposed controller even in the presence of motor parameter variations and unknown load disturbance.

Original languageEnglish
Pages (from-to)4171-4175
Number of pages5
JournalExpert Systems with Applications
Issue number3 PART 1
Publication statusPublished - Apr 2009


  • Adaptive control
  • Feedback linearization
  • Fuzzy control
  • Induction motors
  • Nonlinear MIMO system

ASJC Scopus subject areas

  • Engineering(all)
  • Computer Science Applications
  • Artificial Intelligence


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