A system and a method for starting a rotor of an implantable blood pump are described. For example, a blood pump system includes a rotary motor having a stator and a rotor. The rotor has permanent magnetic poles for magnetic levitation of the rotor, and the stator has a plurality of pole pieces arranged circumferentially at intervals. The blood pump system includes a controller configured to control a start phase of the rotor, wherein the start phase is prior to the rotor being positioned in a predefined geometric volume for pumping blood and wherein the start phase includes performing a rotation of the rotor by an angle larger than an angle corresponding to a quarter of an angular distance between two neighboring magnetic poles of the rotor.

The present invention relates to control of wind turbines in a situation where a fault condition is detected. Control of a wind turbine is described where a control trajectory and a safe-mode trajectory are calculated based on the current operational state of the wind turbine. If the fault condition is detected the wind turbine is controlled using the safe-mode trajectory, otherwise, the normal operation of the wind turbine is continued where the wind turbine is controlled using the control trajectory.

A wind turbine is disclosed which comprises a control system configured to execute at least one ice removal routine which comprises a heating stage of at least one of the blades (3), and a mechanical removal ice stage. A wind turbine removing ice method is also disclosed which comprises a stage wherein the presence of ice is detected on at least one of the blades and, once said presence of ice is detected, comprises a stage wherein at least one ice removal routine is activated which comprises, in turn, a heating stage of at least one of the blades and a mechanical removing ice stage on at least said blade.

A method and apparatus for applying optimized yaw settings to wind turbines including receiving operating data from at least one wind turbine on a wind farm and sending the data to a supervisory control and data acquisition (SCADA) system on the at least one wind turbine to generate current SCADA data. The current SCADA data is sent a central processing center away from the wind farm. The central processing center includes an optimization system that can generate a new look up table (LUT) including at least one new wind turbine yaw setting calculated using information comprising wind direction, wind velocity, wind turbine location in the wind farm, information from a historic SCADA database, and yaw optimizing algorithms. The new LUT is then sent to a yaw setting selection engine (YSSE) where instructions regarding the use of the new LUT are generated.

Methods of operating a variable speed wind turbine as a function of a wind speed, the wind turbine having a rotor with a plurality of blades, a generator having a rated output power, and one or more pitch mechanisms for rotating the blades around their longitudinal axis, and a system for varying a torque of the generator. The methods comprise a sub-nominal zone of operation for wind speeds below a nominal wind speed and a supra-nominal zone of operation for wind speeds at or above the nominal wind speed, wherein at wind speeds at or near the nominal wind speed, the generator is allowed to generate more than its rated output power for a limited period of time. Also disclosed are wind turbines and wind farms adapted to perform these methods.

The invention relates to a method for acquisition and modelling of an incident wind field by a LiDAR sensor. Acquisition and modelling include a step of estimating the wind amplitudes and directions for a set of discretized points, and a step of incident wind field reconstruction in three dimensions and in real time. The invention also relates to a method of controlling and/or monitoring a wind turbine equipped with such a LiDAR sensor from the incident wind field reconstructed in three dimensions and in real time.

Provided are a feedforward control method, apparatus and control system for a wind turbine. The feedforward control method includes: acquiring, by means of a remote sensing measurement apparatus, inflowing wind information of a plurality of spatial point positions in front of a wind turbine, wherein the plurality of spatial points are distributed in a plurality of different cross sections, and the distances between the plurality of different cross sections and the wind turbine are different; combining the acquired inflowing wind information into a target wind velocity; predicting, on the basis of the combined target wind velocity, incoming flow arrival time required for inflowing wind at a target point to arrive at an impeller plane; and performing feedforward control on the wind turbine according to the predicted incoming flow arrival time.

A method for controlling a wind turbine connected to an electrical grid includes receiving, via a controller, a state estimate of the wind turbine. The method also includes determining, via the controller, a current condition of the wind turbine using, at least, the state estimate, the current condition defining a set of condition parameters of the wind turbine. Further, the method includes receiving, via the controller, a control function from a supervisory controller, the control function defining a relationship of the set of condition parameters with at least one operational parameter of the wind turbine. Moreover, the method includes dynamically controlling, via the controller, the wind turbine based on the current condition and the control function for multiple dynamic control intervals.

A method for operating a first wind power installation comprising a rotor having a rotor blade that is adjustable with a pitch angle, which generates an electrical power and in the wake of which a second wind power installation is located in at least one wake wind direction, comprising the step of: operating the first wind power installation in a substantially wake-free normal mode with a first pitch characteristic, and operating the first wind power installation in a wake-loaded wake mode with a second pitch characteristic, wherein the first pitch characteristic represents a first profile of the pitch angle and the second pitch characteristic represents a second profile of the pitch angle as a function of the electrical power, wherein the pitch angle of the second pitch characteristic is greater than the pitch angle of the first pitch characteristic for at least one range of the electrical power. The method seeks to maximise the annual energy production of the second wind power installation while complying with constraints, such as compliance with maximum thrust coefficients or wake-influenced turbulence intensities.

Disclosed are a system and a method for reinforcement learning-based real time robust variable pitch control of a wind turbine system. The system includes: a wind speed collecting module to collect wind speed values of a wind farm; a wind turbine information collecting module to collect a rotor angular speed; a reinforcement signal generating module to generate a reinforcement signal based on the collected rotor angular speed and the rated rotor angular speed; a variable pitch robust control module including an action network and a critic network, wherein the action network is configured to generate an action value based on the wind speed of the wind farm and the rotor angular speed and output the action value to the critic network; the critic network is configured to perform learning training based on the reinforcement signal and the action value, generate a cumulative return value and output the cumulative return value to the action network; and the action network performs learning training based on the cumulative return value to update the action value and output the updated action value; and a control signal generating module connected to the action network, configured to generate a corresponding control signal based on the received action value. The wind power generator adjusts the pitch angle based on the control signal, which realizes adjustment of the rotor angle speed and guarantees smooth and stable power output of the wind turbine.