Instantaneous torque control using flux-based commutation and phase-torque distribution technique for SR motor EV

Hiroki Goto, Ayumu Nishimiya, Hai Jiao Guo, Osamu Ichinokura

Research output: Contribution to journalArticlepeer-review

15 Citations (Scopus)


Purpose – The purpose of this paper is to propose a new instantaneous torque control method for switched reluctance motor (SR motor) and presents experimental data in electric vehicle (EV) application. Design/methodology/approach – The proposed control method uses two kind of techniques: a fluxbased commutation technique prevents the negative phase torque always. On the other hand, a direct phasetorque distribution technique gives suitable each phasetorque command under limited DC voltage. These techniques can track motor torque to the command. These control schemes are implemented on a small processor and a field programmable gate array. Findings – The experimental results of the EV show small torque ripple at low speed on both acceleration and regenerative braking. Changing the parameter of the current stop angle can improve torque ripple at high speed. The proposed method can effectively control motor torque. Practical implications – The proposed method can reduce torque ripple but the implementation is very simple. The proposed control method can be used for any applications. So, that contributes to expand the application of SR motors. Originality/value – The proposed control scheme requires just static torque curve obtain by finite element analysis or simple experiments. Complex parameters, such as nonlinear inductance, current to torque profiles, and other heuristics parameters, are not necessary. The proposed control is simple but practical.

Original languageEnglish
Pages (from-to)173-186
Number of pages14
JournalCOMPEL - The international journal for computation and mathematics in electrical and electronic engineering
Issue number1
Publication statusPublished - 2010 Jan 5


  • Control systems
  • Electric motors
  • Flux
  • Torque

ASJC Scopus subject areas

  • Computer Science Applications
  • Computational Theory and Mathematics
  • Electrical and Electronic Engineering
  • Applied Mathematics


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