Variable cost functions' sequence design for model predictive control of IPMSM without weighting factor

Xuezhu Mei, Ran Zu, Fengxiang Wang, Ralph Kennel

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

4 Scopus citations

Abstract

A model predictive control (MPC) based torque and flux control strategy with cascaded cost functions' optimization for electric drive systems is presented in this work. Based on the knowledge of previous step's cost functions' values, an intuitive decision-making logic for the sequence of cost function execution in an online self-adjustable manner is adopted. This eliminates the necessity of weighting factor tuning and calculation as in the conventional methods with a single aggregate cost function. The effectiveness and comparable overall performance of the proposed system are verified through simulations.

Original languageEnglish
Title of host publication2018 IEEE International Conference on Information and Automation, ICIA 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages500-505
Number of pages6
ISBN (Electronic)9781538680698
DOIs
StatePublished - Aug 2018
Event2018 IEEE International Conference on Information and Automation, ICIA 2018 - Wuyishan, Fujian, China
Duration: 11 Aug 201813 Aug 2018

Publication series

Name2018 IEEE International Conference on Information and Automation, ICIA 2018

Conference

Conference2018 IEEE International Conference on Information and Automation, ICIA 2018
Country/TerritoryChina
CityWuyishan, Fujian
Period11/08/1813/08/18

Keywords

  • Cost function
  • Electric drives
  • Model predictive control

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