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A novel algorithm for model predictive control of AC electric drives

  • Technical University of Munich

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

10 Scopus citations

Abstract

The paper introduces a numerical solution of the cost function in model predictive control of a voltage source inverter, considering a continuous control set. In each switching instance, it calculates a feasible voltage vector that minimizes a predefined cost function. The developed algorithm is tested on a case study represented by the flux and torque control of an induction motor drive. The investigated technique allows including all nonlinearities, cross coupling as well as constraints, existing in the drive system. The effectiveness of the proposed approach is studied for 5 kHz sampling frequency. Practical implementation of the developed technique is also a key point being discussed in this paper.

Original languageEnglish
Title of host publication2012 2nd International Electric Drives Production Conference, EDPC 2012 - Proceedings
DOIs
StatePublished - 2012
Event2012 2nd International Electric Drives Production Conference, EDPC 2012 - Nuremberg, Germany
Duration: 15 Oct 2012 → 18 Oct 2012

Publication series

Name2012 2nd International Electric Drives Production Conference, EDPC 2012 - Proceedings

Conference

Conference2012 2nd International Electric Drives Production Conference, EDPC 2012
Country/TerritoryGermany
CityNuremberg
Period15/10/12 → 18/10/12

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Electric Drives
  • Induction Motor
  • Model Predictive Control
  • Voltage source inverter

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