Fuzzy Logic Approach to the Gain Scheduling Crane Control System

被引：10
作者：
Smoczek, Jaroslaw [1 ]
Szpytko, Janusz [1 ]
机构：
[1] AGH Univ Sci & Technol, Fac Mech Engn & Robot, PL-30059 Krakow, Poland
来源：
2010 15TH INTERNATIONAL CONFERENCE ON METHODS AND MODELS IN AUTOMATION AND ROBOTICS (MMAR) | 2010年
关键词：
DESIGN;
D O I：
10.1109/MMAR.2010.5587226
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 problem of crane control system is addressed in the paper to gain scheduling system created using the fuzzy controller with Takagi-Sugeno-Kang (TSK) fuzzy implications. The method of fuzzy robust crane control system designing was based on closed-loop crane control systems with conventional proportional-derivative (PD) controllers of crane position and the load swing derived for fixed rope length and mass of a load values, which are used as key-scheduling variables. The set of controllers, scheduled by fuzzy system, are determined using the pole placement method (PPM). The problem of selecting the minimal set of fuzzy system operating points was solved and described as well in the paper.
引用
收藏
页码：261 / 266
页数：6
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