The aim of the work was to study applications of intelligent control systems in improving the fatigue life of structures in mechatronic machines. The study of intelligent control systems was mainly focused on possibilities of neural networks and fuzzy systems. As a result a control algorithm that increases the fatigue life was developed. The control algorithm was designed to be a part of the control system of a log crane. Design process begins with simulation models of the crane and the control algorithm. More tests were done with the physical prototype of the crane. As a result, the fatigue life of the crane was increased such that it will be many times longer than with the traditional control system. Furthermore, developed control algorithm damps substantially the vibrations of the log crane.
[1]
Marcello Chiaberge,et al.
A neuro-fuzzy approach to hybrid intelligent control
,
1999
.
[2]
R. K. Jain,et al.
Hybrid Intelligent Engineering Systems
,
1997
.
[3]
A. F. Hobbacher,et al.
Fatigue design of welded joints and components
,
1996
.
[4]
Aki Mikkola,et al.
EFFECT OF THE CONTROL METHOD ON THE FATIGUE DAMAGE OF STRUCTURE IN A SERVO CONTROLLED LOG CRANE
,
1996
.
[5]
Toshio Fukuda,et al.
Computational intelligence in robotics and mechatronics
,
1997,
Proceedings of the IECON'97 23rd International Conference on Industrial Electronics, Control, and Instrumentation (Cat. No.97CH36066).