Projects
Intelligent climate optimization with and for horticulturists Thomas More Kempen
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Visual servoing control in a cluttered environment based on artificial intelligence. University of Antwerp
A general strategy for load and parameter identification for helicopter main rotor systems KU Leuven
Development of a priori and online trajectory optimisation for repetitive motions. University of Antwerp
High-efficiency Sensorless Control of a BLDC Motor using Sinusoidal Currents. University of Antwerp
Digital signal processing algorithms for long-reach DSL deployment KU Leuven
Extending the reach of DSL services (VDSL2, G.FAST, G.mgFAST) into previously unserved areas requires additional physical layer signal processing algorithms, to compensate for longer channel impulse responses that are otherwise no longer compatible with the used modulation formats. The project is aimed at developing such signal processing algorithms, in particular for channel shortening in combination with current multi-user vectoring schemes ...
Additive Manufacturing for Self-Healing Robotics KU Leuven
The increasing use of robots in close proximity to humans is giving a major impulse to the development of soft robotics, in which unexpected loads or impacts are dealt with by flexibility and adaptability rather than by making the structure stiffer and stronger than needed for its regular tasks. However, flexibility and softness of actuators and structures entails an inherent sensitivity to damage caused by sharp objects. Anyone having cut ...
Vibroacoustic based condition monitoring of rotating machinery under non stationary operating conditions KU Leuven
The mechanical failures account for more than 60% of breakdowns of industrial machinery, leading to huge loss. Therefore, the identification of impending mechanical fault is crucial to prevent the system from malfunction. The research would be focused on application of several sensors of multiple natures, like temperature, vibration, acoustics, on various faulty machinery. This project entails development, improving and testing of ...
Exploration of the application of virtual sensing for load estimation in wind turbine drivetrains. KU Leuven
This PhD will explore the merits of virtual sensing for load estimation in wind turbine drivetrains. The PhD consists of three main parts: Modelling, Virtual Sensing and Validation.
In the modelling part, wind turbine drivetrain models of increasing levels of complexity will be generated. The complexity is varied in two directions. On one hand the accuracy of modelling of different subsystems is increased. On the other hand the scope of ...