Intelligent Motion Control under Industry 4.E

Project dates: 01. Sep 2021 - 31. Aug 2024

Objective

IMOCO4.E targets to provide vertically distributed edge-to-cloud intelligence for machines, robots and other human-in-the-loop cyber-physical systems having actively controlled moving elements. They face ever-growing requirements on long-term energy efficiency, size, motion speed, precision, adaptability, self-diagnostic, secure connectivity or new human-cognitive features.
IMOCO4.E strives to perceive and understand complex machines and robots. The two main pillars of the project are digital twins and AI principles (machine/deep learning). These pillars build on the I-MECH reference framework and methodology, by adding new tools to layer 3 that delivers an intelligible view on the system, from the initial design throughout its entire life cycle. For effective employment, completely new demands are created on the Edge layers (Layer 1) of the motion control systems (including variable speed drives and smart sensors) which cannot be routinely handled via available commercial products.
Based on this, the subsequent mission is to bring adequate edge intelligence into the Instrumentation and Control Layers, to analyse and process machine data at the appropriate levels of the feedback control loops and to synchronise the digital twins with either simulated or real-time physical world. At all levels, AI techniques are employable.
Summing up, IMOCO4.E strives to deliver a reference platform consisting of AI and digital twin toolchains and a set of mating building blocks for resilient manufacturing applications. The optimal energy efficient performance and easy (re)configurability, traceability and cyber-security are crucial.
The IMOCO4.E reference platform benefits will be directly verified in applications for semicon, packaging, industrial robotics and healthcare. Additionally, the project demonstrates the results in other generic “motion-control-centred” domains.
The project outputs will affect the entire value chain of the production automation and application markets.

Partners

Number of partners: 47
Site numbers:

ITEC BV

  • Partner
  • ITEC BV
  • Netherlands
  • Budget: 230, 312

EVIDENCE SRL

STILL GMBH

SIOUX TECHNOLOGIES BV

SIEMENS INDUSTRY SOFTWARE SRL

GEFRAN DRIVES AND MOTION SRL

EDILASIO CARREIRA DA SILVA LDA

AS MADARA COSMETICS

DIGITALTWIN TECHNOLOGY GMBH

FUNDACION TEKNIKER

NEDERLANDSE ORGANISATIE VOOR TOEGEPAST NATUURWETENSCHAPPELIJK ONDERZOEK TNO

INFORMATION TECHNOLOGY FOR MARKET LEADERSHIP

CYBERTRON TECH GMBH

FRAUNHOFER GESELLSCHAFT ZUR FORDERUNG DER ANGEWANDTEN FORSCHUNG EV

REX CONTROLS SRO

SYSTEM-ON-CHIP ENGINEERING SL

UNIVERSIDAD DE GRANADA

REDEN B.V.

NETCOMPANY - INTRASOFT

PHILIPS CONSUMER LIFESTYLE BV

VYSOKE UCENI TECHNICKE V BRNE

OROLIA SPAIN SLU

FAGOR AOTEK S. COOP

G.N.T. SYSTIMATA PLIROFORIKIS AE

NUROMEDIA GMBH

TECHBOARD GROUP SRL

IMST GMBH

UNIVERSITA DEGLI STUDI DI SASSARI

PHILIPS ELECTRONICS NEDERLAND BV

HAHN-SCHICKARD-GESELLSCHAFT FUR ANGEWANDTE FORSCHUNG EV

SEMI EUROPE GMBH

NORMET OY

NEXPERIA BV

ELEKTRONIKAS UN DATORZINATNU INSTITUTS

EMDALO TECHNOLOGIES LIMITED

ZAPADOCESKA UNIVERZITA V PLZNI

EXERTUS OY

PHILIPS MEDICAL SYSTEMS NEDERLAND BV

TECHNISCHE UNIVERSITEIT EINDHOVEN

LABORATORIO IBERICO INTERNACIONAL DE NANOTECNOLOGIA LIN

UNIVERSITA DEGLI STUDI DI MODENA E REGGIO EMILIA

CRIT CENTRO DI RICERCA E INNOVAZIONE TECNOLOGICA SRL

UNIVERSITY COLLEGE CORK - NATIONAL UNIVERSITY OF IRELAND, CORK

UNIVERSITA DEGLI STUDI DI BRESCIA

ELECTROMAGNETIC COMPATIBILITY MCC B.V.

ANALOG DEVICES INTERNATIONAL UNLIMITED COMPANY

Research & Innovation

TEKNOLOGIAN TUTKIMUSKESKUS VTT OY

Key Exploitable Results

  • TRL

  • Effective use:
  • Barriers:
  • Additional next steps:
  • Investment needed:

European commision

The EIRIE platform has been developed under the PANTERA project which has received funding from the European Union´s Horizon 2020 Research and Innovation programme under GA No : 824389

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