Speed Sensorless DC Motor Using Kalman Filter

  • Whamook, Naramit (Faculty of Engineering and Research Center for Communication and Information Technology King Mongkut's Institute of Technology Ladkrabang) ;
  • Yimman, Surapan (King Mongkut's Institute of Technology North Bangkok) ;
  • Puangpool, Manoon (King Mongkut's Institute of Technology North Bangkok) ;
  • Chivapreecha, Sorawat (Faculty of Engineering and Research Center for Communication and Information Technology King Mongkut's Institute of Technology Ladkrabang) ;
  • Dejhan, Kobchai (Faculty of Engineering and Research Center for Communication and Information Technology King Mongkut's Institute of Technology Ladkrabang)
  • Published : 2004.08.25

Abstract

This paper proposes a new application of Kalman filter to estimate speed sensorless DC motor. Kalman filter can estimate the system state variables accurately; even the system input is disturbed with noise. In the design, the mathematical model of DC motor in discrete state-space form will be created; the speed of DC motor which is considered as state variable and can be estimated by using Kalman filter. In the experiment; TMS320C31 floating point digital signal processor is used for hardware implementation, the input is disturbed with/and without white noise in the experiment. The experimental results show the speed of DC motor which is estimated by Kalman filter has good accuracy when compared with the results from tacho-meter.

Keywords