Optimization of PID Controllers Using Ant Colony and Genetic Algorithms

Author(s):  
Muhammet Ünal ◽  
Ayça Ak ◽  
Vedat Topuz ◽  
Hasan Erdal
2012 ◽  
Vol 2012 ◽  
pp. 1-7 ◽  
Author(s):  
Ibtissem Chiha ◽  
Noureddine Liouane ◽  
Pierre Borne

This paper treats a tuning of PID controllers method using multiobjective ant colony optimization. The design objective was to apply the ant colony algorithm in the aim of tuning the optimum solution of the PID controllers (Kp,Ki, andKd) by minimizing the multiobjective function. The potential of using multiobjective ant algorithms is to identify the Pareto optimal solution. The other methods are applied to make comparisons between a classic approach based on the “Ziegler-Nichols” method and a metaheuristic approach based on the genetic algorithms. Simulation results demonstrate that the new tuning method using multiobjective ant colony optimization has a better control system performance compared with the classic approach and the genetic algorithms.


2011 ◽  
Vol 44 (1) ◽  
pp. 12644-12649 ◽  
Author(s):  
Monica Patrascu ◽  
Adrian Bogdan Hanchevici ◽  
Ioan Dumitrache

2014 ◽  
Author(s):  
João Batista Zuliani ◽  
Miri Cohen ◽  
Lucas de Souza Batista ◽  
Frederico Gadelha Guimarães

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