Motor frequency estimation by using instrumental variable method

Yong Hwi Kim, Ka Hyung Choi, Tae Sung Yoon, Jin Bae Park

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

Abstract

Motion control is an important task in industrial automation systems. And the exact motor speed estimation is needed for precise motion control. To obtain the motor speed, linear hall sensor is used in this paper for implementation as a low cost and a simple calculation. Since the linear hall sensor output is sinusoid wave, the measurement equation can be modeled with a sinusoid signal easily. Based on the model, the instrumental variable (IV) method is proposed to estimate the motor frequency in this paper. To prove its performance, the estimation from IV is compared with those from the nominal least squares (NoLS), weighted robust least squares (WRLS), and true value. Experimental results show that the IV method is superior to the NoLS algorithm, and similar with the WRLS algorithm. Moreover, the proposed IV method is useful because it can be applied even if the stochastic properties are unknown or not exact.

Original languageEnglish
Title of host publicationICCAS 2013 - 2013 13th International Conference on Control, Automation and Systems
Pages1274-1276
Number of pages3
DOIs
Publication statusPublished - 2013
Event2013 13th International Conference on Control, Automation and Systems, ICCAS 2013 - Gwangju, Korea, Republic of
Duration: 2013 Oct 202013 Oct 23

Publication series

NameInternational Conference on Control, Automation and Systems
ISSN (Print)1598-7833

Other

Other2013 13th International Conference on Control, Automation and Systems, ICCAS 2013
Country/TerritoryKorea, Republic of
CityGwangju
Period13/10/2013/10/23

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Science Applications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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