Integral Sliding Mode Observer-Based Ultra-Local Model for Finite-Set Model Predictive Current Control of Induction Motor

Mahdi S. Mousavi, S. Alireza Davari, Vahab Nekoukar, Cristian Garcia, Jose Rodriguez

Research output: Contribution to journalArticlepeer-review

34 Citations (Scopus)


The ultra-local model of a plant expresses the behavior of the output variable in relation to the input without requiring any specific information about the plant. Replacing the conventional model of the system with an ultra-local model can effectively improve the robustness of the model predictive control (MPC) because all types of uncertainties that correlate with the system modeling are removed in the ultra-local model. This paper proposes an integral sliding mode observer (ISMO) based ultra-local model for the finite-set model predictive current control (FS-MPCC) of induction motor (IM). The ISMO is constructed based on the Lyapunov theory to guarantee the stability of the proposed control method. Moreover, an analytical comparison is made between the proposed ISMO and the conventional extended state observer (ESO) in the application of the ultra-local model. This comparison shows that the stability of ESO depends on the unknown term of the ultra-local model. In contrast, the stability of the proposed ISMO doesn’t rely on any terms of the ultra-local model. Experimental tests confirm that the proposed FS-MPCC method is practically applicable to the IM drive system. Also, it improves the robustness of the predictive method against model uncertainty.

Original languageEnglish
JournalIEEE Journal of Emerging and Selected Topics in Power Electronics
Publication statusAccepted/In press - 2021


  • Integral sliding mode observer
  • ISMO
  • Mathematical model
  • Model predictive control
  • Observers
  • Predictive control
  • Predictive models
  • Robust predictive current control
  • Robustness
  • Stators
  • Ultra-local model
  • Uncertainty

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering


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