Trajectory Tracking with Variable Sampling using Fuzzy Logic Controller

被引：0
|
作者：
Ciganek, Jan [1 ]
Noge, Filip [1 ]
Kozak, Stefan [1 ]
机构：
[1] Slovak Univ Technol Bratislava, Fac Elect Engn & Informat Technol, Inst Automot Mechatron, Bratislava, Slovakia
来源：
2014 15TH INTERNATIONAL CARPATHIAN CONTROL CONFERENCE (ICCC) | 2014年
关键词：
Control System; Co-simulation; Fuzzy Logic; Matlab-Simulink; Mechatronic System; MSC Adams; Robotic Arm; Sampling Algorithm; Soft Computing; Trajectory Tracking;
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：
The paper deals with an effective approach of the robust controller design based on the fuzzy logic, and algorithms for variable sampling of trajectory points to improve the control performance of trajectory tracking. The proposed controller design and sampling algorithms are verified on the case study of the selected mechatronic system. All presented results are reached in co-simulation of two different modeling environments - Matlab-Simulink and MSC Adams. MSC Adams is used for the dynamics of the mechatronic system, Matlab-Simulink for the control part of the co-simulation, respectively.
引用
收藏
页码：80 / 85
页数：6
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