Model predictive torque control with an extended prediction horizon for electrical drive systems

Fengxiang Wang, Zhenbin Zhang, Ralph Kennel, José Rodríguez

Research output: Contribution to journalArticlepeer-review

27 Scopus citations

Abstract

This paper presents a model predictive torque control method for electrical drive systems. A two-step prediction horizon is achieved by considering the reduction of the torque ripples. The electromagnetic torque and the stator flux error between predicted values and the references, and an over-current protection are considered in the cost function design. The best voltage vector is selected by minimising the value of the cost function, which aims to achieve a low torque ripple in two intervals. The study is carried out experimentally. The results show that the proposed method achieves good performance in both steady and transient states.

Original languageEnglish
Pages (from-to)1379-1388
Number of pages10
JournalInternational Journal of Control
Volume88
Issue number7
DOIs
StatePublished - 3 Jul 2015

Keywords

  • electrical drives
  • prediction horizon
  • predictive torque control

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