adaptive model-based Control for laser-assisted Fibre-reinforced tape winding

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adaptive model-based Control for laser-assisted Fibre-reinforced tape winding

Control technologies

General description

https://en.wikipedia.org/wiki/Control_system

Control technologies will be further exploiting the increasing computational power and intelligence in order to come forward to the demands of increased speed and precision in manufacturing. Advanced control strategies will allow the use of lighter actuators and structural elements for obtaining very rigid and accurate solutions, replacing slower and more energy-intensive approaches. Learning controllers adapt the behaviour of systems to changing environments or system degradation, taking into account constraints and considering alternatives, hereby relying on robust industrial real-time communication technologies, system modelling approaches and distributed intelligence architectures.


Specifics for Project ambliFibre | adaptive model-based Control for laser-assisted Fibre-reinforced tape winding

Title adaptive model-based Control for laser-assisted Fibre-reinforced tape winding
Description Based on thermal and optical models embedded into integral process simulation tools combined with novel machine and laser technologies, for the first time a tape winding system will be realised which is
Organisation NEW INFRARED TECHNOLOGIES SL
 Periodic Reporting for period 1 - ambliFibre (adaptive model-based Control for laser-assisted Fibre-reinforced tape winding) Result title Periodic Reporting for period 1 - ambliFibre (adaptive model-based Control for laser-assisted Fibre-reinforced tape winding)
 Model-based controlled laser-assisted tape winding system Result description Highly automated system for each customer (continuous and discontinuous thermoplastic composite production) with model-based online control
 Control technologies Taxon title Control technologies Taxon description https://en.wikipedia.org/wiki/Control_system Control technologies will be further exploiting the increasing computational