Minimum time speed control of the induction motor drive using discrete time sliding mode

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

Abstract

The Induction Motor (IM) and Permanent Magnet Synchronous Motor (PMSM) are widely used in the electric and hybrid-electric vehicle. To obtain fast dynamics during acceleration/braking, they are controlled using field-orientation. Typically, inner controllers are used for dq current control; additionally, the PMSM needs an outer speed controller while the IM needs both a speed and a flux controller. PI controllers are easy to use because they can be tuned without exact knowledge of the plant. Tuning by trial and error yields reasonable transient performance and zero steady-state error. However, if the objective is to accelerate or decelerate as fast as possible, this is not the best approach. This paper presents a design for the speed controller that moves the speed of the drive from one value to another in minimum time. Observers for the load torque are also presented; it is shown that using them does not really improve the speed dynamics. The paper presents a speed controller design based on optimal control concepts and discrete time sliding mode control.

Original languageEnglish (US)
Title of host publication2020 International Symposium on Power Electronics, Electrical Drives, Automation and Motion, SPEEDAM 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages213-218
Number of pages6
ISBN (Electronic)9781728170190
DOIs
StatePublished - Jun 2020
Event2020 International Symposium on Power Electronics, Electrical Drives, Automation and Motion, SPEEDAM 2020 - Sorrento, Italy
Duration: Jun 24 2020Jun 26 2020

Publication series

Name2020 International Symposium on Power Electronics, Electrical Drives, Automation and Motion, SPEEDAM 2020

Conference

Conference2020 International Symposium on Power Electronics, Electrical Drives, Automation and Motion, SPEEDAM 2020
CountryItaly
CitySorrento
Period6/24/206/26/20

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Mechanical Engineering
  • Control and Optimization

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