Linear frequency estimator for motor application with quadratic constrained condition

Ga Hyung Choi, Tae Sung Yoon, Jin Bae Park

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

Abstract

Conventional linear prediction algorithm with sinusoidal signal for the estimation of motor's speed has a limitation in the range of low speed. If an estimator can get additional information then its performance is able to be improved. A sinusoidal signal has the natural property which is quadratic equation so called Pythagorean identity. However, since the equation was nonlinear form, it needs change to a linear constrained condition. Adding it to the measurement equation, it is possible to derive a linear state space equation which has more information without additional sensor. The experimental results and the computer simulations show that the performance of the proposed algorithm in this study is better than that of the conventional algorithm. It supports that the additional constrained condition can improve the estimator's performance.

Original languageEnglish
Title of host publicationProceedings of the 14th International Symposium on Artificial Life and Robotics, AROB 14th'09
Pages140-143
Number of pages4
Publication statusPublished - 2009 Dec 1
Event14th International Symposium on Artificial Life and Robotics, AROB 14th'09 - Oita, Japan
Duration: 2008 Feb 52009 Feb 7

Publication series

NameProceedings of the 14th International Symposium on Artificial Life and Robotics, AROB 14th'09

Other

Other14th International Symposium on Artificial Life and Robotics, AROB 14th'09
CountryJapan
CityOita
Period08/2/509/2/7

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction

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  • Cite this

    Choi, G. H., Yoon, T. S., & Park, J. B. (2009). Linear frequency estimator for motor application with quadratic constrained condition. In Proceedings of the 14th International Symposium on Artificial Life and Robotics, AROB 14th'09 (pp. 140-143). (Proceedings of the 14th International Symposium on Artificial Life and Robotics, AROB 14th'09).