Nonlinear Model Predictive Control of a Point Absorber Wave Energy Converter

Richter, Markus; Magaña, Mario E.; Sawodny, Oliver; Brekken, Ted K. A.

doi:10.1109/tste.2012.2202929

Cited by 160 publications

(135 citation statements)

References 19 publications

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“…In Fusco and Ringwood (2012) and Fusco and Ringwood (2010), different prediction algorithms for short term wave forecasting are presented. Linear and non-linear MPC for different types of wave energy absorbers are introduced in Cretel et al (2011);Brekken (2011);Hals et al (2010); Richter et al (2013), where it is indicated that the MPC is a promising controller for increasing the power outtake of WECs.…”

Section: Introductionmentioning

confidence: 99%

Model Predictive Control of Buoy Type Wave Energy Converter

Soltani

Sichani

Mirzaei

2014

IFAC Proceedings Volumes

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The paper introduces the Wavestar wave energy converter and presents the implementation of model predictive controller that maximizes the power generation. The ocean wave power is extracted using a hydraulic electric generator which is connected to an oscillating buoy. The power generator is an additive device attached to the buoy which may include damping, stiffness or similar terms hence will affect the dynamic motion of the buoy. Therefore such a device can be seen as a closed-loop controller. The objective of the wave energy converter is to harvest as much energy from sea as possible. The straight forward solution to this maximization problem is achieved by maximizing the instantaneous range of motion of the buoy. The buoy as a single degree of freedom oscillator will undergo its maximum movements when it is in resonance with the sea state. Hence the best solution to the problem is achieved by forcing this condition. In the paper the theoretical framework for this principal is shown. The optimal controller requires information of the sea state for infinite horizon which is not applicable. Model Predictive Controllers (MPC) can have finite horizon which crosses out this requirement. This approach is then taken into account and an MPC controller is designed for a model wave energy converter and implemented on a numerical example. Further, the power outtake of this controller is compared to the optimal controller as an indicator of the performance of the designed controller.

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Section: Introductionmentioning

confidence: 99%

Model Predictive Control of Buoy Type Wave Energy Converter

Soltani

Sichani

Mirzaei

2014

IFAC Proceedings Volumes

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“…Recently, WPEA's based on the idea of Model Predictive Control (MPC) have attained increasing focus from the wave energy research community, see e.g., [4][5][6][7][8][9][10][11], and initial results are encouraging: MPC may lead to increased energy output of a WEC compared to e.g., reactive control WPEA. In the early work of [4,6,8], a linear MPC has been developed and simulated on ideal PTO systems harvesting energy of point absorber WEC's.…”

Section: Introductionmentioning

confidence: 99%

Model Predictive Control of a Wave Energy Converter with Discrete Fluid Power Power Take-Off System

Hansen¹,

Asmussen

Bech³

2018

Energies

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Wave power extraction algorithms for wave energy converters are normally designed without taking system losses into account leading to suboptimal power extraction. In the current work, a model predictive power extraction algorithm is designed for a discretized power take of system. It is shown how the quantized nature of a discrete fluid power system may be included in a new model predictive control algorithm leading to a significant increase in the harvested power. A detailed investigation of the influence of the prediction horizon and the time step is reported. Furthermore, it is shown how the inclusion of a loss model may increase the energy output. Based on the presented results it is concluded that power extraction algorithms based on model predictive control principles are both feasible and favorable for use in a discrete fluid power power take-off system for point absorber wave energy converters.

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“…This is very computationally expensive which makes real-time implementation difficult, particularly in scaled devices which operate in higher frequency waves and therefore require higher sample times (Hals et al 2010;Richter et al 2013;O'Sullivan and Lightbody 2017).…”

Section: Introductionmentioning

confidence: 99%

A Self-zeroing position controller for oscillating surge wave energy converters with strong asymmetry

Sell

Plummer

Hillis

2018

J. Ocean Eng. Mar. Energy

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Oscillating surge wave energy converters (OSWECs) offer the possibility to convert ocean wave energy in the near shore region into electricity. One of the unique challenges they present is that the forces experienced in each direction differ. The curved geometry of the CCell device exaggerates this difference. Presented in this paper is a novel method of dealing with this difference which does not rely on high buoyancy within the paddle but, instead, variations in the control signals. This reduces the likelihood and severity of end stop collisions , resulting in improved survivability and reduced lifetime costs without increasing the volume and cost of the device. The algorithm presented may further be used to compensate for individual manufacturing tolerances or deterioration to OSWECs whilst in operation.

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Nonlinear Model Predictive Control of a Point Absorber Wave Energy Converter

Cited by 160 publications

References 19 publications

Model Predictive Control of Buoy Type Wave Energy Converter

Model Predictive Control of Buoy Type Wave Energy Converter

Model Predictive Control of a Wave Energy Converter with Discrete Fluid Power Power Take-Off System

A Self-zeroing position controller for oscillating surge wave energy converters with strong asymmetry

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