Sliding-Mode Disturbance Observer based Parallel Predictive Torque Controller for Induction Machine Drives

Haotian Xie, Fengxiang Wang, Yingjie He, Ying Tang, Jose Rodriguez, Ralph Kennel

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This article proposes an assessment of constrained parallel structure predictive torque control (PPTC) with parameter robustness improvement for induction machine (IM) drive fed by voltage source inverter (VSI). Due to the inherent weakness of weighting factor determination in conventional PTC scheme, the proposed PPTC employs the objective terms to be constrained in the boundaries, and then voltage vectors (VVs) are carried out in an adaptive selection mechanism. Therefore, the exploratory process of parameter tuning is not required. However, the parallel structure in its optimization stage is penalized by the parameter variation in the control plant. To solve this problem, a sliding-mode disturbance observer (SMDO) is used for the robustness enhancement of the proposed scheme to parameter mismatch. Experimental validations are conducted to confirm the effectiveness of the proposed disturbance observer and reduced parameter sensitivity of the robust PPTC methodology.

Original languageEnglish
Title of host publicationProceedings of the Energy Conversion Congress and Exposition - Asia, ECCE Asia 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1511-1514
Number of pages4
ISBN (Electronic)9781728163444
DOIs
StatePublished - 24 May 2021
Event12th IEEE Energy Conversion Congress and Exposition - Asia, ECCE Asia 2021 - Virtual, Singapore, Singapore
Duration: 24 May 202127 May 2021

Publication series

NameProceedings of the Energy Conversion Congress and Exposition - Asia, ECCE Asia 2021

Conference

Conference12th IEEE Energy Conversion Congress and Exposition - Asia, ECCE Asia 2021
Country/TerritorySingapore
CityVirtual, Singapore
Period24/05/2127/05/21

Keywords

  • constrained parallel PTC
  • induction machine
  • parameter mismatches
  • sliding model disturbance observer

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