Fuzzy logic based reactive controller for heaving wave energy converters

Jama, Mohammed; Wahyudie, Addy; Noura, Hassan; Assi, Ali

doi:10.1109/redec.2012.6416697

Cited by 11 publications

(10 citation statements)

References 11 publications

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“…Hence, it is clear that the average generated power can be greatly enhanced using the proposed optimization method compared with the case of without optimization for different mooring constant. Table 4 provides a brief comparison between the proposed technique in this article and other approaches previously presented in the literature [16,17] [17,19,22] in the following ways: a. Very simple and straightforward control law is used if it compared to the more sophisticated controllers structure in [17,19,22].…”

Section: Simulation Resultsmentioning

confidence: 99%

“…Therefore, the presented model is restricted to up and down motion. The assumptions to derive the equations of motion for the two bodies of point absorber in the time-domain are considered as follows [4,8,17]:…”

Section: Proposed Wec System Dynamicsmentioning

confidence: 99%

“…They include fuzzy logic control [17], robust control [18], and artificial neural networks control [19]. The main idea beyond these recent methods, to maximize the power output of the wave energy converter (WEC), lies in explicitly regulating the PTO force via a feedback control system with appropriate constraints.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Linear Quadratic Gaussian Approach for Power Transfer Maximization of a Point Absorber Wave Energy Converter

Kassem

Besheer

Abdelaziz

2015

Electric Power Components and Systems

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Section: Simulation Resultsmentioning

confidence: 99%

Section: Proposed Wec System Dynamicsmentioning

confidence: 99%

See 1 more Smart Citation

A Linear Quadratic Gaussian Approach for Power Transfer Maximization of a Point Absorber Wave Energy Converter

Kassem

Besheer

Abdelaziz

2015

Electric Power Components and Systems

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“…The PRC regime has been designed to maximize the captured power at only a single wave frequency. For this study, the PRC force is formulated similar to Equation (11), where R u and S u are tuned for a monochromatic sea state of T p = 8 s and H s = 2 m, which are 50 kN.s/m and 600 kN/m, respectively. To unify the operating conditions for all tested controllers, mechanical end-stop is deployed to limit the buoy maximum excursion to 3 m. Numerous sea state scenarios are generated and the performance of the heaving WEC is evaluated.…”

Section: Resultsmentioning

confidence: 99%

An Intelligent Fuzzy Logic Controller for Maximum Power Capture of Point Absorbers

et al. 2014

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This article presents an intelligent fuzzy logic controller (FLC) for controlling single-body heaving wave energy converter (WEC) or what is widely known as "Point Absorber". The controller aims at maximizing the energy captured from the sea waves. The power take-off (PTO) limitations are addressed implicitly in the fuzzy inference system (FIS) framework. In order to enhance the WEC power capturing bandwidth and make it less susceptible to wave environment irregularities and the system parametric uncertainties, the controller is built to have a self-configurable capability. This also eliminates the need to repeatedly run in-situ tuning procedure of the fuzzy controller or switch between several controllers based on the operating conditions. The fuzzy membership functions (MFs) are optimally tuned using particle swarm optimization (PSO) algorithm. To alleviate the computational burden associated with performing on-line optimization, the fuzzy controller is tuned at a rate significantly lower than the system sampling time. The suggested PSO-FLC has shown promising results compared with the fixed structure fuzzy logic controller (FS-FLC) and other passive control strategies. Several computer simulations were carried out to evaluate the controller effectiveness by applying different sea-states and analyzing the resultant WEC dynamics.

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“…2, the higher level control is manifested in generating the velocity reference signal based on the estimated excitation forcef ex ðtÞ. In the nominal case, f ex (t) is assumed to be equal tof ex ðtÞ as formulated in (10). While in the lower level control, a sliding mode control (SMC) is utilized to manipulate the buoy actual velocity to follow the reference velocity.…”

Section: Control Strategymentioning

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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Fuzzy logic based reactive controller for heaving wave energy converters

Cited by 11 publications

References 11 publications

A Linear Quadratic Gaussian Approach for Power Transfer Maximization of a Point Absorber Wave Energy Converter

A Linear Quadratic Gaussian Approach for Power Transfer Maximization of a Point Absorber Wave Energy Converter

An Intelligent Fuzzy Logic Controller for Maximum Power Capture of Point Absorbers

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

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