35 research outputs found
A class of globally stabilising controllers for the control of wave energy devices for potable water production
This paper provides a stability analysis for a
system that captures wave energy in order to produce potable
water. The system, introduced in [1], is a Wave Energy
Converter (WEC) of the point-absorber type coupled to a
hydraulic Power Take-Off (PTO) that converts wave energy
into pressure. Previous work has used a partial state-feedback
controller with integral action and feed-forward to provide
good nominal control behaviour. Although open-loop stability
was proven in [1], no guarantees of closed-loop stability were
given; in this paper we provide such guarantees for a class of
controllers, of which the controller proposed in [1] is a special
case
A class of globally stabilising controllers for the control of wave energy devices for potable water production
This paper provides a stability analysis for a
system that captures wave energy in order to produce potable
water. The system, introduced in [1], is a Wave Energy
Converter (WEC) of the point-absorber type coupled to a
hydraulic Power Take-Off (PTO) that converts wave energy
into pressure. Previous work has used a partial state-feedback
controller with integral action and feed-forward to provide
good nominal control behaviour. Although open-loop stability
was proven in [1], no guarantees of closed-loop stability were
given; in this paper we provide such guarantees for a class of
controllers, of which the controller proposed in [1] is a special
case
A Study of the Prediction Requirements in Real-Time Control of Wave Energy Converters
It is widely acknowledged that real-time control of
wave energy converters (WECs) can benefit from prediction of
the excitation force. The prediction requirements (how far ahead
into the future do we need to predict?) and the achievable predictions
(how far ahead can we predict?) are quantified when unconstrained
reactive control is implemented. The fundamental properties
of the floating system that influence the length of the required
forecasting horizon, as well as the achievable prediction, are characterized.
The possibility of manipulating the control, based on
prior knowledge of the wave spectral distribution, is also proposed
for the reduction of the prediction requirements, such that they are
within the range of predictability offered by simple stochastic predictors.
The proposed methodology is validated on real wave data
and heaving buoys with different geometries
A Simple and Effective Real-Time Controller for Wave Energy Converters
A novel strategy for the real-time control of oscillating
wave energy converters (WECs) is proposed. The controller tunes
the oscillation of the system such that it is always in phase with the
wave excitation force and the amplitude of the oscillation is within
given constraints. Based on a nonstationary, harmonic approximation
of the wave excitation force, the controller is easily tuned in
real-time for performance and constraints handling, through one
single parameter of direct physical meaning. The effectiveness of
the proposed solution is assessed for a heaving system in one degree
of freedom, in a variety of irregular (simulated and real) wave
conditions. A performance close to reactive control and to model
predictive control is achieved. Additional benefits in terms of simplicity
and robustness are obtained
Suboptimal Causal Reactive Control of Wave Energy Converters Using a Second Order System Model
Wave Energy Converters (WECs) based on oscillating bodies can
achieve optimal energy absorption under certain conditions associated
with reactive control. These conditions, in general, are not realisable in
practice because non-causal and future values of the excitation force
need to be known. In this paper, an alternative approach is presented,
where the relationship between the optimal velocity and the excitation
force is realised through a simple coefficient of proportionality, thus
removing the problem of non-causality. From theoretical considerations
and numerical simulations over a range of heaving WECs in different
sea conditions, it is shown that such suboptimal and causal approximation,
while significantly reducing the complexity and improving
the robustness of reactive control, allows the achievement of values of
energy capture very close to the ideal optimum
Wave energy control: status and perspectives 2020
Wave energy has a significant part to play in providing a carbon-free solution to
the world’s increasing appetite for energy. In many countries, there is sufficient wave energy
to cater for the entire national demand, and wave energy also has some attractive features in
being relatively uncorrelated with wind, solar and tidal energy, easing the renewable energy
dispatch problem. However, wave energy has not yet reached commercial viability, despite the
first device designs being proposed in 1898. Control technology can play a major part in the
drive for economic viability of wave energy and this paper charts the progress made since the
first wave energy control systems were suggested in the 1970s, and examines current outstanding
challenges for the control community
Quantification of the Prediction Requirements in Reactive Control of Wave Energy Converters
Optimal reactive control for maximum ocean wave power absorption from Wave
Energy Converters (WECs) consisting of oscillating systems, is based on the principle of tuning
their oscillation so that it is in resonance with the excitation force produced by the incident
waves. Reactive control, however, is non-causal and cannot be implemented in real time. This
paper analyses the prediction requirements of one possible solution, where predictions of the
excitation force are utilised to resolve the non-causality. The study is focused on the analysis
of the required forecasting horizon against the achievable prediction. Also, through the aid of
numerical simulations of a number of specific systems over several wave conditions, a link is
found between some fundamental properties of the system and the prediction requirements
Quantification of the Prediction Requirements in Reactive Control of Wave Energy Converters
Optimal reactive control for maximum ocean wave power absorption from Wave
Energy Converters (WECs) consisting of oscillating systems, is based on the principle of tuning
their oscillation so that it is in resonance with the excitation force produced by the incident
waves. Reactive control, however, is non-causal and cannot be implemented in real time. This
paper analyses the prediction requirements of one possible solution, where predictions of the
excitation force are utilised to resolve the non-causality. The study is focused on the analysis
of the required forecasting horizon against the achievable prediction. Also, through the aid of
numerical simulations of a number of specific systems over several wave conditions, a link is
found between some fundamental properties of the system and the prediction requirements
A study on Prediction Requirements in time-domain Control of Wave Energy Converters
Wave energy converters (WECs) based on oscillating bodies or oscillating water
columns would earn huge benefits from a time-domain control on a wave by wave basis. Such
a control would allow efficient energy extraction over a wider range of frequencies than what
could possibly be achieved when no real-time control is adopted, thus increasing the economical
attractiveness of the WECs. Almost every control strategy that showed some potential, however,
sffers from the problem that future knowledge of the incident wave elevation, or wave excitation
force, is required. In this paper a general control framework for oscillating WECs is presented and
a methodology to understand and quantify the wave excitation force prediction requirements,
along with the achievable prediction accuracy, is discussed. The two features are compared
against each other and linked to the dynamic characteristics of a device. Along with the
qualitative discussion, the methodology is applied to some heaving cylinders when reactive
control and linear passive control are applied, under different sea conditions
Real-time Forecasting and Control for Oscillating Wave Energy Devices
Ocean wave energy represents a signicant resource of renewable energy and can make an
important contribution to the development of a more sustainable solution in support of the contemporary
society, which is becoming more and more energy intensive. A perspective is given on
the benefits that wave energy can introduce, in terms of variability of the power supply, when
combined with oshore wind.
Despite its potential, however, the technology for the generation of electricity from ocean waves
is not mature yet. In order to raise the economic performance of Wave energy converters (WECs),
still far from being competitive, a large scope exists for the improvement of their capacity factor
through more intelligent control systems. Most control solutions proposed in the literature, for
the enhancement of the power absorption of WECs, are not implemented in practise because
they require future knowledge of the wave elevation or wave excitation force. The non-causality
of the unconstrained optimal conditions, termed complex-conjugate control, for the maximum
wave energy absorption of WECs consisting of oscillating systems, is analysed. A link between
fundamental properties of the radiation of the
floating body and the prediction horizon required
for an effective implementation of complex-conjugate control is identified.
An extensive investigation of the problem of wave elevation and wave excitation force forecasting
is then presented. The prediction is treated as a purely stochastic problem, where future
values of the wave elevation or wave excitation force are estimated from past measurements at the
device location only. The correlation of ocean waves, in fact, allows the achievement of accurate
predictions for 1 or 2 wave periods into the future, with linear Autoregressive (AR) models. A
relationship between predictability of the excitation force and excitation properties of the
floating
body is also identified.
Finally, a controller for an oscillating wave energy device is developed. Based on the assumption
that the excitation force is a narrow-banded harmonic process, the controller is effectively tuned
through a single parameter of immediate physical meaning, for performance and motion constraint
handling. The non-causality is removed by the parametrisation, the only input of the controller
being an on-line estimate of the frequency and amplitude of the excitation force. Simulations in
(synthetic and real) irregular waves demonstrate that the solution allows the achievement of levels
of power capture that are very close to non-causal complex-conjugate control, in the unconstrained
case, and Model predictive control (MPC), in the constrained case. In addition, the hierarchical
structure of the proposed controller allows the treatment of the issue of robustness to model
uncertainties in quite a straightforward and effective way