Adaptable Fuzzy Expert System for Ship Lock Control Support
Autor: | Vladimir Bugarski, Željko Kanović, Filip Kulic, Todor Bačkalić |
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Rok vydání: | 2016 |
Předmět: |
0209 industrial biotechnology
Engineering Record locking business.industry Process (computing) Programmable logic controller Ocean Engineering Control engineering 02 engineering and technology Oceanography computer.software_genre Fuzzy logic Expert system 020901 industrial engineering & automation SCADA 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Control logic business computer Membership function |
Zdroj: | Journal of Navigation. 69:1341-1356 |
ISSN: | 1469-7785 0373-4633 |
Popis: | A ship lock zone represents a specific area on waterway, and control of the ship lockage process requires a comprehensive approach. This research is a practical application of a Mamdani-type fuzzy inference system and particle swarm optimisation to control this process. It presents an optimisation process that adapts control logic to the desired criteria. The initially proposed Fuzzy Expert System (FES) was developed using suggestions from lockmasters (ship lock operators) with extensive experience. Further optimisation of the membership function parameters of the input variables was performed to achieve better results in the local distribution of ship arrivals. The presented fuzzy logic-based expert system was designed as part of a Programmable Logic Controller (PLC) and Supervisory Control And Data Acquisition (SCADA) system to support decision making and control. The developed fuzzy algorithm is a rare application of artificial intelligence in navigable canals and significantly improves performance of the ship lockage process. This adaptable FES is designed to be used as a support in decision-making processes or for the direct control of ship lock operations. |
Databáze: | OpenAIRE |
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