2020
DOI: 10.1177/1475090220913687
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A point absorber wave energy converter with nonlinear hardening spring power-take-off systems in regular waves

Abstract: Point absorber wave energy converter is one of the most effective wave energy harness devices. Most of the wave energy converters generate energy by oscillating the floating body. Usually, the power-take-off system is simplified as a linear spring and a linear damper. However, the narrow frequency bandwidth around a particular resonant frequency is not suitable for real vibrations applications. Thus, a nonlinear hardening spring and a linear damper are applied in the power-take-off system. The bandwidth of har… Show more

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Cited by 6 publications
(7 citation statements)
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“…In contrast to the concrete nonlinear mechanisms discussed above, some scholars have also achieved nonlinear stiffness using a theoretical mathematical model. Zheng et al [30] employed a nonlinear hardening spring model, and Wilson et al [72] adopted cubic stiffness for a point absorber WEC. Fig.…”
Section: And Other Nsmsmentioning
confidence: 99%
“…In contrast to the concrete nonlinear mechanisms discussed above, some scholars have also achieved nonlinear stiffness using a theoretical mathematical model. Zheng et al [30] employed a nonlinear hardening spring model, and Wilson et al [72] adopted cubic stiffness for a point absorber WEC. Fig.…”
Section: And Other Nsmsmentioning
confidence: 99%
“…After ensuring that the NES-EH achieved optimal vibration control effect, energy collection is considered. The average power captured by NES-EH can be expressed as 24 :…”
Section: Parameters Determination Of the Energy Harvestermentioning
confidence: 99%
“…Dang et al [15] debated the WEC performance considering the variable stiffness mechanism (VSM). Zheng et al [16] analyzed the dynamic response of the PA-WEC considering nonlinear hardening spring PTO systems with regular waves. Furthermore, the power capture of WEC can be enhanced by different control strategies taking advantage of in PTO system, such as passive loading control [17], Latching Control [18], Reactive Loading Control [19], declutching control [20], model predictive control [21], near-optimal control [22], nonlinear model predictive control [23] and so on.…”
Section: Introductionmentioning
confidence: 99%