Robotic Applications with Particle Swarm Optimization (PSO)

被引：0
|
作者：
Das, M. Taylan [1 ]
Dulger, L. Canan [2 ]
Das, G. Sena [3 ]
机构：
[1] Roketsan Co, Ankara, Turkey
[2] Gaziantep Univ, Dept Mech Engn, Gaziantep, Turkey
[3] THK Univ Ankara, Dept Ind & Syst Engn, Ankara, Turkey
来源：
2013 INTERNATIONAL CONFERENCE ON CONTROL, DECISION AND INFORMATION TECHNOLOGIES (CODIT) | 2013年
关键词：
Particle swarm optimization; PID control; Neural Networks; System identification; SCARA Robot; one link arm; electrohydraulic robot; PID CONTROL; SYSTEMS; DESIGN;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Swarm Intelligence (SI) is inspired from the study of colonies of swarms in Nature. This paper introduces a study originated on swarm intelligence, Particle Swarm Optimization (PSO). Three case studies-on one link arm, a SCARA robot and a electrohydraulic robot-are presented on both simulation and experimental base to show effectiveness and simplicity of application. Convergence results of the cases are shown on robot trajectory control (PSO-PID) and robotic system identification (PSO-NN).
引用
收藏
页码：160 / 165
页数：6
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