Abstract: The present invention is a method for predicting a swell-resulting characteristic for a floating system. The method updates (MAJ) a spectral model (MSH) of the swell to form a swell prediction model (MPR). This model is applied to real-time measurements (MES) to predict the swell-resulting characteristic (pred).

Abstract: The present invention is a method for real-time determination of the forces exerted by incident waves on a mobile part of a wave energy system. Models are constructed of the radiation force exerted on the mobile part and of the drag force exerted on the mobile part and a non-linear model of the wave energy system dynamics. The invention uses only measurements of the float kinematics (position, velocity and possibly acceleration) and of the force applied by a converter machine, which measurements are normally available on a wave energy system since they are used for control and supervision thereof. Determination of the excitation force exerted by incident waves on the mobile part uses the models, the measurements and an unscented Kalman filter.

Abstract: The present invention is a method for controlling a wave-energy-converter system, wherein the gains of a control law having a proportional component are optimally determined in terms of the harvest of energy, and are robust with respect to uncertainties in the dynamics of the wave-energy-converter system. The harvest of energy is maximized for the worst case described by the uncertainties, by solving a semidefinite-positive optimization problem.

Abstract: The present invention provides improvement of the operation of a wave energy system by use of a method for predictive control (COM) of the converter machine that maximizes the energy generated by considering the energy conversion efficiency (MOD ENE) and a wave prediction (PRED). Furthermore, the method according to the invention determines the optimal control by minimizing an objective function weighted and discretized by the trapezoidal rule.

Abstract: The invention relates to the real-time determination of the forces applied by waves incident upon the moving part (2) of a wave-energy system (1). The method according to the invention is based on the construction of a model of the radiation force applied to the moving part (2) and a model of the dynamics of the wave-energy system (1). The invention uses only measurements of the kinematics of the moving part (2) and the force applied by the conversion machine (3) to the moving part (2).

Abstract: The present invention is a method for real-time determination of the forces exerted by incident waves on a mobile part of a wave energy system. Models are constructed of the radiation force exerted on the mobile part and of the drag force exerted on the mobile part and a non-linear model of the wave energy system dynamics. The invention uses only measurements of the float kinematics (position, velocity and possibly acceleration) and of the force applied by a converter machine, which measurements are normally available on a wave energy system since they are used for control and supervision thereof. Determination of the excitation force exerted by incident waves on the mobile part uses the models, the measurements and an unscented Kalman filter.

Abstract: The present invention is a method of controlling a wave energy system (COM), wherein the force fex exerted by the waves on a mobile float of the wave energy system is estimated, then at least one dominant frequency ?ex of the force exerted by the waves on the mobile float is determined using an unscented Kalman filter (UKF), and the control (COM) of the wave energy system is determined by a variable-gain PI control law whose coefficients are a function of dominant frequency ?ex.

Abstract: The present invention relates to a method allowing short-term prediction of the wave motion (force, elevation, . . . ), from a time series of past wave measurements. The prediction method according to the invention is based on the estimation of the variable coefficients of an autoregressive model while allowing multi-step minimization, that is over a horizon of several time steps in the future, of the prediction error.

Abstract: The present invention is a method of controlling a wave energy system (COM), wherein the force fex exerted by the waves on a mobile float of the wave energy system is estimated, then at least one dominant frequency ?ex of the force exerted by the waves on the mobile float is determined using an unscented Kalman filter (UKF), and the control (COM) of the wave energy system is determined by a variable-gain PI control law whose coefficients are a function of dominant frequency ?ex.

Abstract: The present invention is a method for controlling a wave-energy-converter system, wherein the gains of a control law having a proportional component are optimally determined in terms of the harvest of energy, and are robust with respect to uncertainties in the dynamics of the wave-energy-converter system. The harvest of energy is maximized for the worst case described by the uncertainties, by solving a semidefinite-positive optimization problem.

Abstract: The present invention provides improvement of the operation of a wave energy system by use of a method for predictive control (COM) of the converter machine that maximizes the energy generated by considering the energy conversion efficiency (MOD ENE) and a wave prediction (PRED). Furthermore, the method according to the invention determines the optimal control by minimizing an objective function weighted and discretized by the trapezoidal rule.

Abstract: The invention relates to the real-time determination of the forces applied by waves incident upon the moving part (2) of a wave-energy system (1). The method according to the invention is based on the construction of a model of the radiation force applied to the moving part (2) and a model of the dynamics of the wave-energy system (1). The invention uses only measurements of the kinematics of the moving part (2) and the force applied by the conversion machine (3) to the moving part (2).

Abstract: The present invention relates to a method allowing short-term prediction of the wave motion (force, elevation, . . . ), from a time series of past wave measurements. The prediction method according to the invention is based on the estimation of the variable coefficients of an autoregressive model while allowing multi-step minimization, that is over a horizon of several time steps in the future, of the prediction error.

Abstract: A method of controlling an automobile clutch in an automated transmission system with a CMPC control is disclosed having application to vehicle clutch control in an AMT system. The driver's request is translated in terms of sliding velocity ?sl. Constraints on the engine and clutch actuators are defined to respect their operating limits, and driving quality constraints are defined to guarantee comfort during the clutch engagement phase. In order to meet these quality constraints, a reference trajectory is defined for ?sl as a function of the clutch engagement time. An analytical expression allowing real-time calculation of a set of control trajectories with a CMPC control law is then defined from the expression of this reference trajectory. The trajectory respecting the constraints on the actuators is selected from among all these control trajectories. Finally, the clutch is controlled with the selected control trajectory.

Abstract: A method of controlling an automobile clutch in an automated transmission system with a CMPC control is disclosed with an application of vehicle clutch control in an AMT system. The driver's request is translated in terms of sliding velocity ?sl. Constraints on the engine and clutch actuators are defined to respect their operating limits, and driving quality constraints are defined to guarantee comfort during the clutch engagement phase. In order to meet these quality constraints, a reference trajectory is defined for ?sl as a function of the clutch engagement time. An analytical expression allowing real-time calculation of a set of control trajectories with a CMPC control law is then defined from the expression of this reference trajectory. The trajectory respecting the constraints on the actuators is selected from among all these control trajectories. Finally, the clutch is controlled with the selected control trajectory.