Experimental analysis of 3D gantry crane system via optimal PID and PD controller by PSO

被引：0
|
作者：
Hussien, S. Y. S. [1 ,2 ]
Ghazali, R. [1 ,2 ]
Jaafar, H. I. [1 ,2 ]
Soon, C. C. [1 ,2 ]
机构：
[1] Univ Teknikal Malaysia Melaka, Fac Elect Engn, Durian Tunggal 76100, Melaka, Malaysia
[2] Univ Teknikal Malaysia Melaka, Ctr Robot & Ind & Automat, Durian Tunggal 76100, Melaka, Malaysia
来源：
PROCEEDINGS OF MECHANICAL ENGINEERING RESEARCH DAY 2016 | 2016年
关键词：
3D gantry crane system; Proportional-Integral-Derivative (PID); Particle Swarm Optimization (PSO);
D O I：
暂无
中图分类号：
TH [机械、仪表工业];
学科分类号：
0802 ;
摘要：
A 3D INTECO gantry crane system is used for lifting and moving loads horizontally, lowering and releasing the gripper to the original position. There are two main problems which occurred in the system which are positioning the desired position and minimize the payload oscillation. In order to overcome this problem, a controller is implemented. In this paper, a control strategy of PID and PD controller tuned by Particle Swarm Optimization (PSO) is presented. PID controller is used to control the trolley movement to reach at the precise desired position and PD controller is used to control the undesired oscillation from the payload while moving the load. The results shown that through the experimental platform, the trolley reached the desired position with low payload oscillation.
引用
收藏
页码：66 / 68
页数：3
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