Predicting waves and gusts

Mr. Erik Hermans works at the Applied Physics Institute of the Delft University of Technology, as a member of the Signals, Systems and Control Group. His specialization is time series analysis: a way to model stationary stochastic signals, like, for example, waves.

Mr. Hermans says: “Our group at the University has researched and implemented an algorithm to determine an accurate parametric model for the signal dynamics using several statistical criteria”. A detailed academic description of the so-called ARMASA toolbox in question can be found here.

Currently, Erik and his group are working with RoboSail systems on extending this algorithm to vector (multivariate) time series. This can be used to determine cross correlation functions between different signals. For example, we can use this technology to find the relation between waves and wind-information, and thus obtain a far better measurement

“When you can compute these correlation functions the dependence between for example the signal from the weather vane and the other boat’s entities is known. In this manner it is easier to determine the true wind direction. Also the true magnitude and direction of the tide and waves can be more accurately measured”, Mr. Hermans comments.

The next step (this has been already partially implemented in the recent software) is that on base of the vector time series analysis we can make better predictions of direction and magnitude of future waves, tides and wind.

To see if theory and software also work in practice, the Signals, Systems and Control Group also has a connection with the Dutch centre of weather-expertise, KNMI. The KNMI has measured, amongst other things, wind speed and -direction and wave speed/direction on an oil rig in the North Sea. A lot of research is also conducted onboard RoboSail’s sailing laboratory, the Open40 Syllogic.

At the end we aim at implement the vector time series analysis in the experimental X-Pilot autopilot onboard Syllogic. In the somewhat longer term, this research will find its way to the RoboSail Odys™ Intelligent Pilot.