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

页码：129 / 132

页数：4

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