Abstract
The development of a self-learning computer-based automatic control system for a cutter suction dredger is an important step in the evolution of dredging. The system is based on the latest concepts of control theory, hardware and software.
Commercially available controllers of type PI, whether or not implemented in digital hardware, require careful tuning in order to operate well on this kind of dredger. Therefore in the new automatic controller the classical control algorithms were replaced by more powerful adaptive predictive control methods. The software has been implemented in an on-board multi-microcomputer system.
A spin-off product of the automation project was the development of a comprehensive simulator of the dredging process. It is based on the availability of unique numerical dynamic ship models. These were obtained by active testing aboard of real ships. Afterwards the measured data were processed with identification programs in order to estimate the unknown ship parameters.
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De Keyser, R.M.C., Van Ostaeyen, J.L.S. (1990). Self-Adaptive Multi-Microprocessor Control of Cutter Suction Dredging Ships. In: Tzafestas, S.G., Pal, J.K. (eds) Real Time Microcomputer Control of Industrial Processes. Microprocessor-Based Systems Engineering, vol 5. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-0609-9_8
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DOI: https://doi.org/10.1007/978-94-009-0609-9_8
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