Exhibition Partner
“ECOMOD” ECOMAI Modeling Toolbox supports the model-based specification of embedded/IoT systems.
ECOMOD Modelling Methodology:
considers the system-under-design on different levels (System, Technology)
differs strictly between “the problem” (Requirements) and “the solution” (Architecture)
provides practice-proven Methods with defined Tasks to produce concrete Products
ECOMOD Framework, based on the SysML:
- tailors SYSMOD for the special needs of ECOMAI-specific systems
- supports the modeling process in Enterprise Architect with model patterns and a profile (extending the SysML)
- provides pre-filled project templates for the identified ECOMAI system types (Autonomous Data Collector, Autonomous Control Loop, Actor-controlled System)
Access ECOMOD Documentation and Downlaod on GitHub
Use Case presented at the Conference: Predictive Maintenance with AI for Platform Screen Door Systems (PSD)
PSDs are used in public transportation, but PdM (Predictive Maintenance) is not yet applied. This use case discusses the innovation development of Albayrak (Aldoor/Turkiye), a designer and manufacturer of PSD.
Contact
Access and Download ECOMOD on GitHub
Edge AI Hardware Design for Semiconductors
What is the optimum next current value in order to use as little energy as possible to regulate the speed?
AI assisted Motor Control: From Simulation to Silicon on a RISC-V with AI Accelerator
AI concepts offer sophisticated approaches for condition monitoring and control in embedded applications. In the talk presented by Steven Klotz at the conference, a reinforcement learning-based control policy for energy-efficient motor control is presented, highlighting the sim-to-real challenges of deploying this artificial intelligence controller.
AI supported Motor Control Development / Simulation + Software
Demonstrator
Permanent Magnet Synchronous Motor (PMSM) AI enhanced control with unbalanced load
Key Facts
- Reduce Energy Consumption supported by AI
- Accelerated Software Deployment
- Robust and Adaptive Operation
Access here the MOTEON Landing Page
Contact
Dr. Veit Zöppig, CTO MOTEON GmbH
veit.zoeppig@moteon.com
MOTEON Demonstrator
Motor Control / Medical Rehabilitation Robots
25 years of excellence in biomedical engineering
Real-time application with biosignal acquisition, real-time computation, control of actuators within 1-3 ms
World leader
- accurate and reliable multi-channel data acquisition system with 768 channels for measuring flow dynamics liquid metal MHD duct flows
- ability to measure microvolt level signals with an impressive accuracy of 0.6 µV
New robotics: precise operation of actuators for arm and finger rehabilitation based on body state determination and modulation
Contact
Dipl. Ing. Klaus Schellhorn, Managing Director / CTO
klaus.schellhorn@neurocaregroup.com
Homepage
Motor Control Co-Simulation
Demonstrator: A co-simulation video of different motor models (in MATLAB) controlled with variants of RISC-V controllers using Extendable Instruction Set Simulator (ETISS).
Features:
- A GUI flow runs the co-simulation based on the Matlab model and microcontroller’s specification and firmware.
- Allows extension of the RISC-V cores by adding peripherals such as accelerators for AI-based control.
- Precise modelling of real-time control applications using cycle-accurate simulation of RISC-V cores.
Contact:
Ali Asghar
ali.asghar@tu-ilmenau.de
Prof. Daniel Ziener
daniel.ziener@tu-ilmenau.de
Meet our speakers + download their presentations
Peter Lieber
Founder SparxSystems Europe
Austria Lead ECOMAI
Steven Klotz
M.Sc Electrical Engineering and Informationtechnology
Infineon
Tuesday, March 11
Class 7.1
Introduction to tinyML – Running Deep Learning Models on Low-Power Micro-Controllers
Tuesday, March 11
Session 1.1 IOT & CONNECTIVITY
A Visionary Modelling Approach for Predictive Maintenance in a Highly Regulated Environment
Thursday, March 13, 2025
Session 7.7 EDGE AI // AI Assisted Motor Control
From Simulation to Silicon on a RISC-V with AI Accelerator
ECOMAI is in Germany and Austria co-funded and supported by:
ChipsForEurope! The Penta Project ECOMAI is a EURIPIDES² project of Xecs_Eureka and AENEAS Association.
We sincerly thank the State Development Corporation of Thuringia – LEG for hosting us at the community booth of embedded world 2025.