کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
826955 907965 2006 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Novel Approach to Nonlinear PID Parameter Optimization Using Ant Colony Optimization Algorithm
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی پزشکی
پیش نمایش صفحه اول مقاله
Novel Approach to Nonlinear PID Parameter Optimization Using Ant Colony Optimization Algorithm
چکیده انگلیسی

This paper presents an application of an Ant Colony Optimization (ACO) algorithm to optimize the parameters in the design of a type of nonlinear PID controller. The ACO algorithm is a novel heuristic bionic algorithm, which is based on the behaviour of real ants in nature searching for food. In order to optimize the parameters of the nonlinear PID controller using ACO algorithm, an objective function based on position tracing error was constructed, and elitist strategy was adopted in the improved ACO algorithm. Detailed simulation steps are presented. This nonlinear PID controller using the ACO algorithm has high precision of control and quick response.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Bionic Engineering - Volume 3, Issue 2, June 2006, Pages 73-78