文章基本信息

标题：Tuning PID Controller Using Multiobjective Ant Colony Optimization
本地全文：下载
作者：Ibtissem Chiha ; Noureddine Liouane ; Pierre Borne 等
期刊名称：Applied Computational Intelligence and Soft Computing
印刷版ISSN：1687-9724
电子版ISSN：1687-9732
出版年度：2012
卷号：2012
DOI：10.1155/2012/536326
出版社：Hindawi Publishing Corporation
摘要：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, and 𝐾𝑑) 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.