No abstract

The development of a more reliable method of measuring the wind field upstream of a turbine (light detection and ranging) has enabled the implementation of feedforward-related control strategies to enhance the control performance of wind turbines. By incorporating wind speed measurements, the controller is able to anticipate upon future events and thereby improve structural load mitigation and power regulation of the wind turbine. This work aims to experimentally verify the benefits of using predictive and feedforward-based control strategies over industry standard control solutions. To achieve this, both a feedforward and a model predictive control strategy are presented, which have been validated on an experimental wind turbine in a wind tunnel. Both the model predictive controller and feedforward algorithm have shown superior performance over a baseline controller in terms of rotor speed regulation under wind speed disturbances. The experiment confirmed that a phase advantage in the control input of the predictive controller led to this performance increase. It has also been found that knowledge of just the current wind speed can already significantly increase the control performance.

We present an integrated equalizer used for electronic dispersion compensation in the 1mm SI-POF home-networking scenario applying 650nm RCLED and SI-PIN-PD. Real-time experimental results demonstrate that the approach gives better BER performance then to date published with competing architectures.

Silicon based photodiodes provide spectral response in the visible wavelength range (VIS) but also in the near-infrared (NIR). For ambient light sensors (ALS) and image sensors with high color reproducibility the sensitivity in the NIR is unwanted as it impairs the sensing performance. Typically, external thin film filters are applied as near-infrared cut-off filters added to the photodiode or image sensor. We demonstrate plasmonic nanostructures fabricated directly within an extended CMOS (complementary metal-oxide- semiconductor) process. Designs in one and two metal layers are used and enable ambient light sensors as well as image sensors with pixel level NIR-blocking filters for color vision and additional NIR-sensitive pixels for simultaneous acquisition of VIS and NIR images

High-end illumination devices based on LEDs require precise color matching, because the dominant wavelength depends on temperature and changes due to aging. We demonstrate the performance of multispectral sensors fabricated using a complementary metal-oxide semiconductor (CMOS) process for color-sensing feedback. Various plasmonic nanostructures were simulated and implemented to achieve band pass and cut-off filters, placed on top of photodiodes. These devices for multispectral sensing can be fabricated in high volume and measurements indicate that a wavelength change of 3 nm yields a relative signal change of more than 20 % due to the steep-edge characteristics of the filters