International Journal of Intelligent Systems and Applications (IJISA)
IJISA Vol. 6, No. 11, 8 Oct. 2014
Cover page and Table of Contents: PDF (size: 735KB)
Predator and Prey Modified Biogeography Based Optimization Approach (PMBBO) in Tuning a PID Controller for Nonlinear Systems
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Author(s)
Index Terms
Biogeography Based Optimization, Predator And Prey, Modified Migration, PID Control, Nonlinear System, Genetic Algorithms, Inverted Pendulum
Abstract
In this paper an enhanced approach based on a modified biogeography optimization with predator and prey behavior (PMBBO) is presented. The approach uses several predators with new proposed prey’s movement formula. The potential of using a modified predator and prey model is to increase the diversification along the optimization process so 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 (Mass spring damper and an inverted pendulum) and has given remarkable results when compared to genetic algorithm and classical BBO.
Cite This Paper
Mohammed Salem, Mohamed. F. Khelfi, "Predator and Prey Modified Biogeography Based Optimization Approach (PMBBO) in Tuning a PID Controller for Nonlinear Systems", International Journal of Intelligent Systems and Applications(IJISA), vol.6, no.11, pp.12-20, 2014. DOI:10.5815/ijisa.2014.11.02
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