Comparisons of FCS-MPC schemes and conventional PI-based methods for electrical drive systems

Haotian Xie*, Ralph Kennel, Fengxiang Wang, Marcelo Lobo Heldwein, Jose Rodriguez

*Corresponding author for this work

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

2 Scopus citations

Abstract

Model predictive control (MPC) has gained increasingly popularities in the field of power electronics and electrical drive systems. In MPC, the control objectives are evaluated in the cost function within a certain number of prediction horizon. Compared with conventional PI-based methods, MPC shows the merits of simple concept, straightforward implementation, fast dynamic response, flexible inclusion of constraints and ability to handle multi-objective nonlinear system. Finite control set MPC (FCS-MPC) is one of the common-used MPC schemes. In this work, the comparisons of FCS-MPC schemes and the conventional PI-based method, e.g., direct torque control (DTC) and fiel-doriented control (FOC) are carried out. It is validated that FCS-MPC methods achieves a better control performance at both the steady state and transient state.

Original languageEnglish
Title of host publication2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350396867
ISBN (Print)9798350396867
DOIs
StatePublished - 2023
Event2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2023 - Wuhan, China
Duration: 20232023

Publication series

Name2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2023

Conference

Conference2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2023
Country/TerritoryChina
CityWuhan
Period16/06/2319/06/23

Bibliographical note

Funding Information:
ACKNOWLEDGEMENT J. Rodriguez acknowledges the support of ANID through projects FB0008, 1210208 and 1221293.

Publisher Copyright:
© 2023 IEEE.

ASJC Scopus subject areas

  • Control and Optimization
  • Modeling and Simulation
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Mechanical Engineering
  • Safety, Risk, Reliability and Quality

Fingerprint

Dive into the research topics of 'Comparisons of FCS-MPC schemes and conventional PI-based methods for electrical drive systems'. Together they form a unique fingerprint.

Cite this