Application of neural network to control the load motion of an offshore crane

被引：6
|
作者：
Falat, Pawel [1 ]
Brzozowska, Lucyna [1 ]
Brzozowski, Krzysztof [1 ]
机构：
[1] Univ Bielsko Biala, PL-43309 Bielsko Biala, Poland
来源：
2005 IEEE INTELLIGENT DATA ACQUISITION AND ADVANCED COMPUTING SYSTEMS: TECHNOLOGY AND APPLICATIONS | 2005年
关键词：
neural network; optimization; programming; motion control; A-Frame crane; NET;
D O I：
10.1109/IDAACS.2005.282955
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 main aim of the paper is to present the computer models, algorithms and programs which can he applied in real time control of an A-frame winch motion. This control algorithm has to stabilize load position and compensate the weaving. On the basis of the model of A-frame dynamics, the proper optimisation tasks are defined and solved. In each task the various crane and sea conditions are assumed. As a result of this process the optimal winch drive courses assuring load stabilization are defined. This approach allows the neural network to be defined and applied in real-time conditions.
引用
收藏
页码：129 / 132
页数：4
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