Browsing by Author "Zulueta, Ekaitz"
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Item Configurable cooperative middleware for the next generation of CPS(2012) Etxeberria-Agiriano, Ismael; Calvo, Isidro; Noguero, Adrian; Zulueta, Ekaitz; Tecnalia Research & InnovationCyber-Physical Systems (CPS) form an emerging discipline that integrates embedded computers with the physical processes under control. Typically, Cyber-Physical applications include low profile computing components, such as sensors and actuators that must communicate to carry out complex tasks. They may be found in different applications domains e.g. intelligent buildings, industrial automation or critical infrastructure control. This kind of applications requires certain features such as autonomy, fault tolerance, energy efficiency or solving heterogeneity and configurability issues. However, managing the communication issues in this kind of applications can be relatively complex. In this scenario, middleware technologies can help developers in the design of the next generation of CPS. This work describes the design principles of a type of CPS that requires cooperation. More specifically, it presents a generic family of logical cooperation topologies capable of adapting dynamically to changes in the environment.Item Pitch based wind turbine intelligent speed setpoint adjustment algorithms(2014-06) González-González, Asier; Etxeberria-Agiriano, Ismael; Zulueta, Ekaitz; Oterino-Echavarri, Fernando; Lopez-Guede, Jose Manuel; IAThis work is aimed at optimizing the wind turbine rotor speed setpoint algorithm. Several intelligent adjustment strategies have been investigated in order to improve a reward function that takes into account the power captured from the wind and the turbine speed error. After different approaches including Reinforcement Learning, the best results were obtained using a Particle Swarm Optimization (PSO)-based wind turbine speed setpoint algorithm. A reward improvement of up to 10.67% has been achieved using PSO compared to a constant approach and 0.48% compared to a conventional approach. We conclude that the pitch angle is the most adequate input variable for the turbine speed setpoint algorithm compared to others such as rotor speed, or rotor angular acceleration.