Application of adaptive fuzzy control to ac machines

Hazem Nounou, Habib ur Rehman

Research output: Contribution to journalArticle

32 Citations (Scopus)

Abstract

The decoupled control of torque and flux has made field oriented control an attractive choice for high performance induction motor drives. However, changes in the speed tracking trajectory and external disturbances make it difficult to achieve an acceptable closed-loop tracking performance, especially when traditional linear controllers are used. This paper addresses this issue by applying direct and indirect adaptive fuzzy controllers for performance enhancement of variable speed control of induction machines. Theoretical background of these schemes is outlined, and then a simulation test bench has been established for performance evaluation under a variety of operating conditions. Such conditions include changes in the speed reference trajectory and presence of external disturbances, such as load changes. A comparison has been made among direct adaptive, indirect adaptive, and direct fuzzy controllers to show the potential of applying adaptive fuzzy control techniques to induction machines.

Original languageEnglish
Pages (from-to)899-907
Number of pages9
JournalApplied Soft Computing Journal
Volume7
Issue number3
DOIs
Publication statusPublished - Jun 2007
Externally publishedYes

Fingerprint

Fuzzy control
Controllers
Trajectories
Speed control
Induction motors
Torque
Fluxes

Keywords

  • Adaptive fuzzy control
  • Fuzzy control
  • Induction machine

ASJC Scopus subject areas

  • Software
  • Computer Science Applications
  • Artificial Intelligence

Cite this

Application of adaptive fuzzy control to ac machines. / Nounou, Hazem; Rehman, Habib ur.

In: Applied Soft Computing Journal, Vol. 7, No. 3, 06.2007, p. 899-907.

Research output: Contribution to journalArticle

Nounou, Hazem ; Rehman, Habib ur. / Application of adaptive fuzzy control to ac machines. In: Applied Soft Computing Journal. 2007 ; Vol. 7, No. 3. pp. 899-907.
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