Generation of regular waves with FPGA based controller in a wave channel

Wave channel systems provide crucial experimental platforms for the development and optimization of wave energy converters. By enabling the safe and repeatable simulation of real ocean conditions, these systems play a key role in understanding wave behavior and reducing design risks. They allow the generation of a specific wave model to investigate the effects of water waves on coastal structures, coastal ecosystems, and offshore platforms. In this study, a hydraulically controlled piston-type wave generator was utilized in a 24-meter-long wave channel, which measures 1 meter in width and 1 meter in height, to produce regular waves. The wave generation system in the channel is operated by a hydraulic cylinder with a 400 mm stroke, controlled by a proportional directional control valve. An NI-CRIO 9074 programmable automation controller (PAC), featuring Field Programmable Gate Array (FPGA) technology and an NI-9263 analog output module with 15-bit resolution, was used for controlling the proportional directional control valve. The cylinder position was measured at 15-bit resolution using an NI-9215 analog input module. A proportional-integral control (PI) technique was implemented on the NI-CRIO 9074 hardware. The controller gains were determined experimentally, with a computer employed to perform real-time measurement and data logging of the generated waves. The entire system is managed by the NI-CRIO 9074 and regular wave production is achieved through LabVIEW-based user interface programs running on the computer.

Authors

Institutions

Publication Details

Journal
Balıkesir Üniversitesi Fen Bilimleri Enstitüsü Dergisi
Published
2025-07-14
DOI
https://doi.org/10.25092/baunfbed.1618673
Primary Topic
Wave and Wind Energy Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Generation of regular waves with FPGA based controller in a wave channel

Batın Demircan, Sabri Bıçakçı
Balıkesir Üniversitesi Fen Bilimleri Enstitüsü Dergisi
Wave and Wind Energy Systems
article

Generation of regular waves with FPGA based controller in a wave channel

Batın Demircan, Sabri Bıçakçı
article en

Abstract

Wave channel systems provide crucial experimental platforms for the development and optimization of wave energy converters. By enabling the safe and repeatable simulation of real ocean conditions, these systems play a key role in understanding wave behavior and reducing design risks. They allow the generation of a specific wave model to investigate the effects of water waves on coastal structures, coastal ecosystems, and offshore platforms. In this study, a hydraulically controlled piston-type wave generator was utilized in a 24-meter-long wave channel, which measures 1 meter in width and 1 meter in height, to produce regular waves. The wave generation system in the channel is operated by a hydraulic cylinder with a 400 mm stroke, controlled by a proportional directional control valve. An NI-CRIO 9074 programmable automation controller (PAC), featuring Field Programmable Gate Array (FPGA) technology and an NI-9263 analog output module with 15-bit resolution, was used for controlling the proportional directional control valve. The cylinder position was measured at 15-bit resolution using an NI-9215 analog input module. A proportional-integral control (PI) technique was implemented on the NI-CRIO 9074 hardware. The controller gains were determined experimentally, with a computer employed to perform real-time measurement and data logging of the generated waves. The entire system is managed by the NI-CRIO 9074 and regular wave production is achieved through LabVIEW-based user interface programs running on the computer.

Balıkesir Üniversitesi Fen Bilimleri Enstitüsü DergisiVol. 27(2)
Balıkesir University (TR)
Openalex Percentile: Top 79%
Wave and Wind Energy Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.