Back to the programme printer.gif Print

Delegates are invited to meet and discuss with the poster presenters in this topic directly after the session 'Advanced rotor technologies' taking place on Tuesday, 11 March 2014 at 11:15-12:45. The meet-the-authors will take place in the poster area.

Ignacio Secades (1) F P

Printer friendly version: printer.gif Print

Presenter's biography

Biographies are supplied directly by presenters at EWEA 2014 and are published here unedited

Spanish automation engineer. He has been involved 15+ years long in machinery construction and have gained experience with customer technical support worldwide.
He studied engineering in Spain, England and Germany before working for 10 years in German multinationals Luk and Robert Bosch before founding Roboticssa. Thanks to this he is fluent in English, German and Spanish.
Since 2009 he is founder & CEO of Roboticssa, a national reference in the fields of robotized surface treatment and coating. Designs and manufactures windturbine blades and towers production lines based on a thorough knowledge of the latest manufacturing technologies and advances in automation.


Blade coating robots: dynamic adaptive control using a SVM-based approach.


The production of giant rotor blades for wind turbines offers a good example of how the wind energy sector can learn from mass production processes.

Blade production is a very labor-intensive and drawn out process. Employees in a 250-meter-long production hall, take a collective 500 hours to finish a single Blade. Robots could do it as well as humans, but also be much faster. We could more-than-halve production time from 500 hours to 150 – and thus cut manufacturing costs.


The stresses and strains to which rotor blades of wind turbines are exposed are truly immense. Reaching top speeds of up to 300 kilometers per hour, forces are exerted on blade tips which make them bend for more than a meter. Weather conditions such as snow, rain, heat and UV radiation also take their roll on the blades.
Coat developers are supplying innovative systems for highly resilient, fiber-reinforced components and coatings for rotor blades. The longevity of these wind energy plants is a key factor in improving the economic efficiency of wind power as a climate friendly source of energy.

Main body of abstract

Unmanned vehicles guided by a dynamic adaptive control using a SVM-Based approach.

Path planning is critical for the successful operation of flexible coating robots. One of the challenges in developing this solution would be dealing with dynamic and uncertain environments which include synchronization among each pair of moving platforms, and uncertain coat conditions.

Usually the optimal route for an unmanned vehicle should be loaded according to the “battlefield” environment before UV carrying out a mission, and the route performance is of vital importance to UV's operational efficiency.

The use of support vector machines (SVM) for path planning give us an extremely robust algorithm for generalization. And with little need of heuristics for training. SVMs are maximum margin classifiers that obtain a non-linear class boundary between the data sets. In order to apply SVM to the path planning problem, the entire obstacle course is divided in to two classes of data sets and a separating class boundary is obtained using SVM.

This non-linear class boundary line determines the heading of the robot for a collision-free path. For the classification of newly detected data points in the unknown environment, the k-nearest neighbors algorithm has been studied and implemented.

The proposed system uses a genetic algorithm for route optimizing. The path points and threats' position are denoted in the form of polar coordinates, which can shorten the gene code length, speed up the execution of genetic search for fast path generation.


In the wind industry, there is a wide scope for improvement driven by innovation. Anyone can see that, from new materials that are lighter or more resistant, to improved blade geometries that augment the efficiency of the installations.

We have tried to outline some innovations that could be introduced in a less obvious part of the equation. Being a relatively new industry, blade manufacturing is still a somewhat cumbersome process, very artisanal with all the good and the bad that comes with it. Production principles that are widely used in other industries are awaiting the opportunity to be adopted by wind.

Learning objectives
Visualize that the typically cored aerodynamic shell must maintain a smooth and uniform surface. Blade manufacturers try to achieve it while increasing quality, boosting productivity and reducing cost.

Discover the potential of a new technology. Unmanned vehicles guided by dynamic adaptive control using SVM-Based approach. Spraying guns path planning is critical for successful operation of adaptive coating robots.

Improve coating manufacturing procedures with innovations that are mandatory in making the wind industry a cost effective technology.