Identification and control of the AWS using neural network models

Valério, Duarte; Mendes, Mário J. G. C.; Beirão, Pedro; Costa, José Sá da

doi:10.1016/j.apor.2008.11.002

Cited by 45 publications

(30 citation statements)

References 23 publications

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“…Wave energy potential is approximately estimated to be equal to the global electricity consumption (i.e., around 2 TW) [1]. Compared to wind energy, waves can carry kinetic and potential energy with such high power density, thanks to the fact that water has higher density than air.…”

Section: Introductionmentioning

confidence: 99%

Robust and low computational cost controller for improving captured power in heaving wave energy converters

et al. 2015

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a b s t r a c tThis study suggests a simple and robust control strategy for improving captured power in heaving wave energy converters (WEC). The controller aims at optimizing the captured power using a hierarchical control strategy (HCS), which consists of a higher and lower control levels. The top level control is responsible of producing the reference velocity that is used by the lower level controller to regulate the actual velocity of the WEC buoy. The reference is generated by solving an offline optimization problem for maximizing the absorbed energy subject to the buoy motion constraints. As an attempt to avoid computational complexity in real-time operation, a simple look-up table is produced for various seastates conditions. In order to track this reference, sliding mode controller (SMC) is deployed. The design parameters of the SMC is tuned offline using a well-known model of WEC. Any perturbations, nonlinearities, and disturbances not covered by the used model will be handled by the robustness property of the SMC. Moreover, the used SMC does not add any further complexity to the overall control strategy. The proposed method is validated in both regular and irregular sea-states, as well as in both nominal and perturbed scenarios. Other control strategies were also used to further assess the performance of the proposed control strategy. Based on the simulation results, the proposed hierarchical controller outperformed the other controllers in both nominal and perturbed scenarios.

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Section: Introductionmentioning

confidence: 99%

Robust and low computational cost controller for improving captured power in heaving wave energy converters

et al. 2015

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“…Giving the priority to the linear generator efficiency would normally deteriorate the WEC wave energy absorption. With the recent advances in heuristic control techniques, many researchers deployed genetic algorithm (GA), optimization techniques, and artificial neural networks (ANNs) to optimize the energy capture of WECs [8]. Fuzzy logic based controllers have also featured in many research efforts [9].…”

Section: Introductionmentioning

confidence: 99%

Enhancing the performance of heaving wave energy converters using model-free control approach

et al. 2015

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a b s t r a c tThis paper investigates the application of model free control (MFC) strategy to optimally control the oscillation of single body heaving waves energy converter (WEC). The aim of the proposed controller is to maximize the electrical energy output of the device. The MFC is an off-line fixed structure control approach that combines between simplicity and insensitivity to system uncertainties and/or operational conditions. The proposed controller is based on a classical linear compensator, which is designed and tuned using only the well-known dynamics of the WEC. Therefore, any extra unknown or partially known dynamics are taken care of using the ultra-local model (ULM). Simulation results show that the MFC performance is superior to that of the base linear compensator, in terms of reference tracking capability and robustness towards uncertainties. Also other well-established control strategies are used to further validate the proposed controller.

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“…The power take-off (PTO) mechanism (electric or hydraulic generators, air or water turbines) may vary from one WEC to another [3, 4, and 5]. The amount of power that can be extracted from waves depends on the wave climate of a certain location and the efficiency of the used WEC, which in turn is a function of WEC geometry and the adopted PTO [6].…”

Section: Introductionmentioning

confidence: 99%

Fuzzy logic based reactive controller for heaving wave energy converters

Jama

Wahyudie

Noura

et al. 2012

2012 International Conference on Renewable Energies for Developing Countries (REDEC)

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This paper presents a new control strategy based on fuzzy logic for maximizing the absorbed energy of heaving wave energy converters (WEC). The fuzzy logic controller is responsible of minimizing the discrepancy between the optimal reference buoy velocity and the actual buoy velocity, hence maximizing the captured power for irregular sea environment. The proposed controller performed well compared to a conventional fixed reactive control strategy.

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Identification and control of the AWS using neural network models

Cited by 45 publications

References 23 publications

Robust and low computational cost controller for improving captured power in heaving wave energy converters

Robust and low computational cost controller for improving captured power in heaving wave energy converters

Enhancing the performance of heaving wave energy converters using model-free control approach

Fuzzy logic based reactive controller for heaving wave energy converters

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