Integrating robust lidar-based feedforward with feedback control to enhance speed regulation of floating wind turbines

Lidar-enhanced wind turbine control: Past, present, and future

“…The blade effective wind speed is an estimate of the wind that flows around the blade in order to produce torque for the generator. A later study [27] looked to extend the control techniques used in [25], using a H ∞ control design for a floating offshore wind turbine. With the use of lidar, simulation results showed that a H ∞ feedforwardfeedback controller was able to reduce the standard deviation of the rated generator speed by 44% and load mitigation was observed as well [27].…”

“…A later study [27] looked to extend the control techniques used in [25], using a H ∞ control design for a floating offshore wind turbine. With the use of lidar, simulation results showed that a H ∞ feedforwardfeedback controller was able to reduce the standard deviation of the rated generator speed by 44% and load mitigation was observed as well [27]. Later, a study [7] used the Bladed turbine simulator, rather than the FAST turbine simulator that was used in [23], [22], [24].…”

“…The red blocks are additional control blocks for feedforward control added to the conventional feedback controller. production [7], [27], [22], [26]. Lastly, field tests were also conducted that showed improved rotor speed regulation is achievable using lidar-based feedforward pitch control [19], [28], [29].…”

A synthesis of feasible control methods for floating offshore wind turbine system dynamics

“…Various control algorithms attempt to achieve efficiency and platform motion suppressions by controlling the blade pitch actuator and generator torque of wind turbine. There have been numerous controllers designed to address the shortcomings of floating platform using a range of controllers, such as Proportional Integral (PI), Linear Quadratic Regulator (LQR), Linear Parameter Varying (LPV), and Model Predictive Control (MPC) [14][15][16][17][18][19][20][21][22][23][24][25][26][27][28][29]. Some advanced control algorithms utilize the blade pitch mechanism by actuating blades identically (Collective blade pitch) or separately (Individual blade pitch) to provide the wind turbine required aerodynamic thrust to suppress platform motions, maximize power generation and load mitigation.…”

Uncertainties identification of the blade-mounted lidar-based inflow wind speed measurements for robust feedback-feedforward control synthesis

“…The measurement uncertainty can vary with wind speed, wind shear, turbulence intensity, etc. (Navalkar et al (2015)), thus, multiplicative diagonal complex uncertainties were considered.…”