The ESR will develop novel theoretical and computational techniques for state estimation and tracking of periodic orbits.
Tracking the exact 3D movement of a flying and deforming tethered wing is of crucial importance for stable and efficient control. The objective of this PhD project is to design and implement novel estimation methods using the principle of moving horizon estimation (MHE) for real-time applications.
This project investigates the ground station design for an offshore pumping mode AWE system energy farm.The power take off methods will be analyzed and an optimal solution chosen to enable power integration of AWE farms in compliance with transmission and distribution system operator grid codes.
Optimization-based approaches have been proven to be tools to design and control complex systems in several applications, ranging from automotive to aerospace and renewable energy systems.
The scope of this assignment is to develop an integral computational approach for high-fidelity simulations of flight dynamics and structural dynamics of inflatable tethered membrane wings.
This PhD project aims on extending robust control analysis methods to dynamically uncertain systems under periodic operation. Novel modeling methods as well as improved control approaches for tethered wings are being developed.
The mechanics of large scale kites are strongly effected by the deformation at high wing loads. Numerous challenges have to be solved before increasing the kite size to more than 1000 m2 which is necessary to generate reasonable power with high altitude kite wind power systems.
The ESR will perform large eddy simulations of AWE systems in the atmospheric boundary layer and investigate the effects of turbulence, wind shear and stratification on the systems’ performance.
The PhD shall develop efficient computational methods to optimize large scale, yet lightweight rigid wings that are bridled to the tether.
The goal of this PhD topic is to specify and model the whole electrical drive system for the AWE ground station and to design, analyse and implement robust and fault-tolerant low-level control strategies for current/torque and power control during pumping mode.
AWE systems are inherently technically more complex, requiring high levels of automation. These multi-disciplinary systems, in order to be economically viable for power generation, need to achieve a balance between the level of performance and cost, while ensuring an adequate level of safety.
Launching and landing is one the most critical unsolved issues to achieve fully autonomous operation for airborne wind energy systems. The scope of this project is to optimize for robust control trajectories for launching and landing of a tethered aircraft.
The power output of AWE systems fluctuates periodically, what is a well-known problem in terms of grid integration. This issue will be treated at an AWE farm level, using optimal control and design optimisation techniques. A model including electrical and mechanical system constraints will be develo
Within the scope of this project a robust and fault-tolerant control architecture for automatic launching and landing of a tethered membrane wing will be developed.