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2011•Unpublished venueOpen access

Improvement in speed control of a six-phase induction motor using fuzzy control and genetic algorithm

Abbas Kargar, D. Ghanbari, Navid Reza Abjadi, Kh. Rahmati

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Abstract

This paper presents an application of a self tuning fuzzy control technique for speed control of a six-phase induction motor (SPIM). The torque ripple of a SPIM is lower than a three-phase IM. This paper proposes a rotor flux-oriented control technique for a SPIM to decouple torque and flux control. Using the genetic algorithm (GA) with a simple cost function for tuning of the fuzzy controller parameters, a perfect speed control for SPIM is achieved.

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What this paper is about

This paper presents an application of a self tuning fuzzy control technique for speed control of a six-phase induction motor (SPIM). The torque ripple of a SPIM is lower than a three-phase IM. This paper proposes a rotor flux-oriented control technique for a SPIM to decouple torque and flux control. Using the genetic algorithm (GA) with a simple cost function for tuning of the fuzzy controller parameters, a perfect speed control for SPIM is achieved.

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Available abstract

This paper presents an application of a self tuning fuzzy control technique for speed control of a six-phase induction motor (SPIM). The torque ripple of a SPIM is lower than a three-phase IM. This paper proposes a rotor flux-oriented control technique for a SPIM to decouple torque and flux control. Using the genetic algorithm (GA) with a simple cost function for tuning of the fuzzy controller parameters, a perfect speed control for SPIM is achieved.

Key concepts: Control theory (sociology), Induction motor, Direct torque control, Fuzzy control system, Fuzzy logic, Torque, Vector control, Electronic speed control

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