Identification of Disk Drive Systems using the Multifeedback-Layer Neural Network and the Particle Swarm Optimization Algorithm

Aksu I. O. , ÇOBAN R.

International Conference on Technological Advances in Electrical, Electronics and Computer Engineering (TAEECE), Konya, Türkiye, 9 - 11 Mayıs 2013, ss.230-234 identifier identifier

  • Cilt numarası:
  • Doi Numarası: 10.1109/taeece.2013.6557276
  • Basıldığı Şehir: Konya
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.230-234


In this study, the closed loop identification of the reader head position of a disk drive system is proposed by using the Multifeedback-Layer Neural Network. To identify the system, the connection weights of the Multifeedback-Layer Neural Network (MFLNN) are trained by the Particle Swarm Optimization (PSO) algorithm. Simulation results show the effectiveness of the proposed method.