A comparison of discrete-time models for model predictive control of induction motor drives

Christian A. Rojas, Juan I. Yuz, Matias Aguirre, Jose Rodriguez

Research output: Contribution to conferencePaperpeer-review

12 Citations (Scopus)

Abstract

System modeling and variables estimation are two important task in direct control strategies. In those schemes, the system performance is strongly related with the accuracy of the discrete-time model, especially for time-varying systems, e.g., high-performance motor drive applications. This investigation presents a numerical comparison between several discrete-time models of the induction machine (IM) used in model predictive control (MPC) schemes. The accuracy of each model is evaluated numerically for different speed operation points. The results serve as a preliminary validation to select an accurate discretization method for MPC drive applications.

Original languageEnglish
Pages568-573
Number of pages6
DOIs
Publication statusPublished - 16 Jun 2015
Event2015 IEEE International Conference on Industrial Technology, ICIT 2015 - Seville, Spain
Duration: 17 Mar 201519 Mar 2015

Other

Other2015 IEEE International Conference on Industrial Technology, ICIT 2015
Country/TerritorySpain
CitySeville
Period17/03/1519/03/15

Keywords

  • Discrete-time systems
  • Induction motor drives
  • Predictive control
  • Taylor series
  • Time-varying systems

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering

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