PID2018 Benchmark Challenge: Multi-Objective Stochastic Optimization Algorithm

ATEŞ A., Yuan J., DEHGHAN S., ZHAO Y., YEROĞLU C., Chen Y.

3rd IFAC Conference on Advances in Proportional-Integral-Derivative Control (PID), Ghent, Belçika, 9 - 11 Mayıs 2018, cilt.51, ss.877-881 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası: 51
  • Doi Numarası: 10.1016/j.ifacol.2018.06.113
  • Basıldığı Şehir: Ghent
  • Basıldığı Ülke: Belçika
  • Sayfa Sayıları: ss.877-881
  • İnönü Üniversitesi Adresli: Evet

Özet

This paper presents a multi-objective stochastic optimization method for tuning of the controller parameters of Refrigeration Systems based on Vapour Compression. Stochastic Multi Parameter Divergence Optimization (SMDO) algorithm is modified for minimization of the Multi Objective function for optimization process. System control performance is improved by tuning of the PI controller parameters according to discrete time model of the refrigeration system with multi objective function by adding conditional integral structure that is preferred to reduce the steady state error of the system. Simulations are compared with existing results via many graphical and numerical solutions. (C) 2018, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.