GA Based Adaptive Velocity Control of Linear Switched Reluctance Motor under Different Load and Velocity Profiles for Industrial Application

DURSUN M., Ozden S.

2nd International Conference on Control, Automation and Robotics (ICCAR), Hong Kong, PEOPLES R CHINA, 28 - 30 Nisan 2016, ss.124-127 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası:
  • Doi Numarası: 10.1109/iccar.2016.7486711
  • Basıldığı Şehir: Hong Kong
  • Basıldığı Ülke: PEOPLES R CHINA
  • Sayfa Sayıları: ss.124-127
  • Anahtar Kelimeler: genetic algorithm, PID, linear switched reluctance motor, velocity control
  • Gazi Üniversitesi Adresli: Evet

Özet

In this study, Genetic Aigorithm (GA) was used for determining best PID parameter for speed and position controller of linear switched reluctance motor (LSRM) under different load and distance profiles. On the linear movement, the control parameters for precision control are needed to update, depending on distance and load. The LSRM has nonlinear model that it is hard to define PID parameter with calculation. GA is best way to find PID parameter to control velocity. The GUI was developed and applied the LSRM's parameters are changeable.