DocumentCode :
1972454
Title :
Intensive fish breeding optimization
Author :
Pachner, Daniel ; Burget, Pavel ; Rehak, Branislav
Author_Institution :
Dept. of Control Eng., Czech Tech. Univ., Prague, Czech Republic
fYear :
2005
fDate :
1-2 Aug. 2005
Firstpage :
55
Lastpage :
60
Abstract :
We describe an algorithm for fish farm profit optimization which is part of a complex automation system used in intensive fish culture. The fish farm optimal production problem is solved on a finite receding control horizon using the model-based predictive controller. The problem itself is a linear dynamic control problem subject to non-convex constraints and is coped with using a heuristic approach. The entire control system has been installed at a pilot fish farm.
Keywords :
aquaculture; combinatorial mathematics; fishing industry; optimisation; predictive control; complex automation system; finite receding control horizon; fish farm profit optimization; heuristic approach; intensive fish breeding optimization; linear dynamic control problem; model-based predictive controller; Automatic control; Constraint optimization; Control engineering; Control systems; Feedback control; Iterative algorithms; Marine animals; Optimal control; Predictive models; Production;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Automation Science and Engineering, 2005. IEEE International Conference on
Print_ISBN :
0-7803-9425-9
Type :
conf
DOI :
10.1109/COASE.2005.1506745
Filename :
1506745
Link To Document :
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