Optimization of nonlinear controller with an enhanced biogeography approach

Authors

  • Mohammed Salem University of Oran
  • Mohamed Fayçal Khelfi RIIR Lab University of Oran

DOI:

https://doi.org/10.11121/ijocta.01.2014.00199

Keywords:

Biogeography based optimization, predator and prey, PID control, nonlinear system, genetic algorithms.

Abstract

This paper is dedicated to the optimization of nonlinear controllers basing of an enhanced Biogeography Based Optimization (BBO) approach. Indeed, The BBO is combined to a predator and prey model where several predators are used with introduction of a modified migration operator to increase the diversification along the optimization process so as to avoid local optima and reach the optimal solution quickly. The proposed approach is used in tuning the gains of PID controller for nonlinear systems. Simulations are carried out over a Mass spring damper and an inverted pendulum and has given remarkable results when compared to genetic algorithm and BBO.

 

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Published

2014-06-07

How to Cite

Salem, M., & Khelfi, M. F. (2014). Optimization of nonlinear controller with an enhanced biogeography approach. An International Journal of Optimization and Control: Theories &Amp; Applications (IJOCTA), 4(2), 77–87. https://doi.org/10.11121/ijocta.01.2014.00199

Issue

Section

Optimization & Applications