Model Predictive Torque Control of Induction Motor Drives with Computed Torque for Servo Press

Qi Li, Jianbo Gao, Qiwu Wang, Ralph Kennel

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

6 Scopus citations

Abstract

The use of induction motor (IM) is a promising way to replace conventional mechanical actuation such as PMSM in small-size servo press. However, in order to achieve a better dynamical and steady performance than traditional control method, new control strategies have to be investigated. In this paper, model predictive control (MPC) of IM with Computed torque is implemented for the first time which can satisfy the strict positioning requirements in servo press. Additionally, PD control based on velocity and acceleration is employed. Simulation for algorithm is established on a servo press model and shows an improved performance with respect to the existing control strategies.

Original languageEnglish
Title of host publication2020 IEEE 9th International Power Electronics and Motion Control Conference, IPEMC 2020 ECCE Asia
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3063-3067
Number of pages5
ISBN (Electronic)9781728153018
DOIs
StatePublished - 29 Nov 2020
Event9th IEEE International Power Electronics and Motion Control Conference, IPEMC 2020 ECCE Asia - Nanjing, China
Duration: 29 Nov 20202 Dec 2020

Publication series

Name2020 IEEE 9th International Power Electronics and Motion Control Conference, IPEMC 2020 ECCE Asia

Conference

Conference9th IEEE International Power Electronics and Motion Control Conference, IPEMC 2020 ECCE Asia
Country/TerritoryChina
CityNanjing
Period29/11/202/12/20

Keywords

  • computed torque
  • induction motor
  • model predictive control
  • servo press

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