Mitigation and Control for Wind Environment

Nonlinear Dynamic Inversion Control for Wind Turbine Load Mitigation based on Wind Speed Measurement

The design of an advanced controller for wind turbine load mitigation is presented. The controller is based on Nonlinear Dynamic Inversion control methods combined with Pseudo Control Hedging to account for the actuator limits and a two degree of freedom control system for the collective pitch control of the rotor blades. The controller uses wind speed measurement information to adjust to wind ...

development and implementation of an optimized control strategy for induction machine in an electric vehicle

in the area of automotive engineering there is a tendency to more electrification of power train. in this work control of an induction machine for the application of electric vehicle is investigated. through the changing operating point of the machine, adapting the rotor magnetization current seems to be useful to increase the machines efficiency. in the literature there are many approaches wh...

Parkes RFI Environment and Mitigation

An obvious issue with a low-frequency broad-band receiver is the degree to which the science data are affected by radio-frequency interference (RFI). RFI comes in two main classes: a) relatively narrow-band quasi-steady transmissions and b) broad-band transient signals. Very strong narrowband signals can result in non-linear responses which dramatically spread the signal in frequency. Transient...

Control of a Wind Turbine with a Magnetic Continuously Variable Transmission for Mitigation of Torque Variations

Advances in wind turbine technology have allowed the machines to take advantage of economies of scale. The increased size and power requirements of modern turbines have presented new challenges to the more expensive components, particularly the gearboxes. This paper focused on a new control system for wind turbines in above-rated, or Region 3, wind regimes. The control goals were to regulate th...

Wind Turbine Load Mitigation based on Multivariable Robust Control and Blade Root Sensors