Research on Adaptive Direct Torque Control Based on Online Parameter Estimation Applied to Surface Permanent Magnet Motor

Lon Jay Cheng, I. Hsuan Wu, Mi Ching Tsai

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper proposed an online motor parameter estimation method to improve performance of direct torque control based on model prediction approach. The proposed parameter estimation adopts Popov's Hyper Stability Theorem to estimate accurate motor parameters, such as stator resistance, stator inductance and rotor flux linkage, which are critical for torque and flux estimation. The parameter estimation method is verified by a hardware in the loop emulation platform and thus proves the feasibility of the proposed method.

Original languageEnglish
Title of host publication2019 IEEE 4th International Future Energy Electronics Conference, IFEEC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728131535
DOIs
Publication statusPublished - 2019 Nov
Event4th IEEE International Future Energy Electronics Conference, IFEEC 2019 - Singapore, Singapore
Duration: 2019 Nov 252019 Nov 28

Publication series

Name2019 IEEE 4th International Future Energy Electronics Conference, IFEEC 2019

Conference

Conference4th IEEE International Future Energy Electronics Conference, IFEEC 2019
CountrySingapore
CitySingapore
Period19-11-2519-11-28

All Science Journal Classification (ASJC) codes

  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering
  • Energy Engineering and Power Technology

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