Speed, rotor position and load torque estimation of the PMSM using an extended dynamic model and cascaded sliding mode observers

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

11 Scopus citations

Abstract

The paper presents a method to estimate the rotor position, speed and load torque of the PMSM drive. The estimation is done using cascaded sliding mode observers (SMOs) and uses an extended dynamic model of the PMSM. A first SMO is constructed based on the current equations of the motor and estimates the EMFs; these are used to calculate the rotor position angle. The EMFs are also fed in a second SMO that estimates the speed and the load torque of the PMSM drive. The paper presents the design and analysis of the observers. In order to obtain accurate estimates, both observers are implemented using the second order sliding mode approach. It is shown that the estimates of the speed and torque are accurate both during transient and at steady-state. The method can be used in a sensorless PMSM implementation - if an estimate of the load torque is available, this allows to improve the response of the speed loop. The theoretical findings are supported with simulations.

Original languageEnglish (US)
Title of host publication2016 International Symposium on Power Electronics, Electrical Drives, Automation and Motion, SPEEDAM 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages98-103
Number of pages6
ISBN (Electronic)9781509020676
DOIs
StatePublished - Jul 28 2016
Event2016 International Symposium on Power Electronics, Electrical Drives, Automation and Motion, SPEEDAM 2016 - Capri, Italy
Duration: Jun 22 2016Jun 24 2016

Publication series

Name2016 International Symposium on Power Electronics, Electrical Drives, Automation and Motion, SPEEDAM 2016

Other

Other2016 International Symposium on Power Electronics, Electrical Drives, Automation and Motion, SPEEDAM 2016
Country/TerritoryItaly
CityCapri
Period6/22/166/24/16

All Science Journal Classification (ASJC) codes

  • Automotive Engineering
  • Mechanical Engineering
  • Control and Optimization
  • Electrical and Electronic Engineering

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