Detail projektu

I-MECH - Intelligent Motion Control Platform for Smart Mechatronic Systems

Období řešení: 01.06.2017 — 31.05.2020

Zdroje financování

Evropská unie - Horizon 2020

- částečně financující (2017-05-18 - nezadáno)
Ministerstvo školství, mládeže a tělovýchovy ČR - Společná technologická iniciativa ECSEL

- plně financující (2017-11-18 - nezadáno)

O projektu

The I-MECH target is to provide augmented intelligence for wide range of cyber-physical systems having actively controlled moving elements, hence support development of smarter mechatronic systems. They face increasing demands on size, motion speed, precision, adaptability, self-diagnostic, connectivity, new cognitive features, etc. Fulfillment of these requirements is essential for building smart, safe and reliable production complexes. This implies completely new demands also on bottom layers of employed motion control system which cannot be routinely handled by available commercial products. On the ground of this, the main mission of this project is to bring novel intelligence into Instrumentation and Control Layers mainly by bridging the gap between latest research results and industrial practice in model based engineering fields. Next, I-MECH will deliver new interfaces and diagnostic data quality for System Behavior Layer. It strives to provide a cutting edge reference motion control platform for non-standard applications where the control speed, precision, optimal performance, easy reconfigurability and traceability are crucial. The high added value of I-MECH reference platform will be directly verified in high-speed/big CNC machining, additive manufacturing, semicon, high-speed packaging and healthcare robotics. In these sectors, the main project pilots will be validated. However, the platform will be applicable in many other generic motion control fields. The project outputs will impact on the entire value chain of the production automation market and, through envisioned I-MECH center, create sustainable proposition for future smart industry.

Klíčová slova
Sensorics, Actorics, Automation

Označení

737453/8A17003

Originální jazyk

angličtina

Řešitelé

Útvary

Kybernetika pro materiálové vědy
- příjemce (01.06.2017 - nezadáno)

Výsledky

DOSEDĚL, M.; HAVRÁNEK, Z. Design and performance evaluation of smart vibration sensor for industrial applications with built-in MEMS accelerometers. In Proceedings of the 2018 18th International Conference on Mechatronics – Mechatronika (ME). 1. 345 E 47TH ST, NEW YORK, NY 10017 USA: IEEE, 2018. p. 22-29. ISBN: 978-80-214-5542-9.
Detail

KLÍMA, B.; BUCHTA, L.; DOSEDĚL, M.; HAVRÁNEK, Z.; BLAHA, P. Prognosis and Health Management in electric drives applications implemented in existing systems with limited data rate. In 2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). Zaragoza, Spain: IEEE, 2019. p. 870-876. ISBN: 978-1-7281-0303-7.
Detail

BARTÍK, O. An algebraic approach for the motion control of the two-mass system. In USB Proceedings IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society. IEEE, 2020. p. 100-105. ISBN: 978-1-7281-5413-8.
Detail

HAVRÁNEK, Z.; DOSEDĚL, M.; HNIDKA, J.; ČALA, M.: ECAT slave_cRIO_v1.0; Diagnostics module with EtherCAT Slave communication interface on cRIO platform. Vysoké učení technické v Brně, CEITEC VUT Laboratoř pokročilých senzorů, B1.04 Purkyňova 656/123 612 00 Brno. URL: http://imech.ceitec.cz/vysledky/ECAT slave_cRIO_v1.0. (funkční vzorek)
Detail

DOSEDĚL, M.; HAVRÁNEK, Z.: SVS v1.0; Smart vibration sensor. Vysoké učení technické v Brně, CEITEC VUT Laboratoř pokročilých senzorů, B1.04 Purkyňova 656/123 612 00 Brno. URL: http://imech.ceitec.cz/vysledky/SVS_prototype. (prototyp)
Detail

HAVRÁNEK, Z.; DOSEDĚL, M.; HNIDKA, J.; KLUSÁČEK, S.: IFC RS485-to-NI9401 v1.0; 4-channel RS-485 communication interface converter for cRIO module NI9401. Vysoké učení technické v Brně, CEITEC VUT Laboratoř pokročilých senzorů, B1.04 Purkyňova 656/123 612 00 Brno. URL: http://imech.ceitec.cz/vysledky/RS-485_cRIO_IFC. (funkční vzorek)
Detail

KLÍMA, B.; POHL, L.; VESELÝ, L.; BLAHA, P.: BB3 - CM and PM of electric drives; Condition monitoring and predictive maintenance of electrical drives. Vysoké učení technické v Brně, CEITEC. URL: http://www.ceitec.cz/I-MECH/BB3. (software)
Detail