Event type: Free Live Webinar
Title: Real-Time Machine, Work Process, Environment and Sensor Simulation in Autonomous & Assistive System Development
Date: Thursday, October 24th, 2024.
Time: 11:00 am, EEST (Helsinki/UTC +3)
(Berlin 10:00 am, New Delhi 1:30 pm, Tokyo 5:00 pm)
Duration: 2 hours, 15 minutes.
Summary
Heavy machinery development is driven today by two major challenges – alternative power sources (“decarbonization”) and operator assistance & autonomous systems. In practice these challenges are leading to issues such as:
- Development takes more time than expected
- Software and automation testing becomes more challenging and time consuming
- Cost of physical prototypes, their testing and zero series are rising
- Final testing with the physical product may move to customer
- Poor customer experience in case of product/software/quality/warranty issues
To overcome the above issues, the world-class companies have successfully started the use of real-time simulation including not only the machine, but also machine work process (e.g. soil handling), environment interaction (e.g. humans in work area), sensors (e.g. LiDARs) and integration with other development environment hardware/software assets (e.g. using FMI/FMU or ROS 2).
This seminar presents solutions and practical examples for:
- Integration of real-time simulation environment for component level validation
- Use of real-time simulation in development of third-party automation applications
- Use of detailed work process, environment and sensor models in automation development
Examples of benefits achieved by using the above approaches are:
- Decrease of physical prototyping effort by using fully functional virtual models
- Earlier and faster design validation based of simulation generated synthetic data
- Faster production ramp-up for non-serial, large heavy machinery
Speakers and the Agenda
- Opening at 11:00 am (EEST, Helsinki/UTC +3)
- Mevea’s Introduction
- Case Danfoss: Dr. Christian Feller, Lead Simulation Engineer: Integration of Mevea Simulation Tools with Danfoss Virtual Application Development
- Case GIM Robotics: Dr. Jose Luis Peralta, CTO: Leveraging simulation to accelerate mobile machine automation development
- Case Siemens: Douwe Wagenaar, Manager, Remote Control Cranes: Harbour crane automation development using Mevea real-time simulation
- Mevea Solutions Overview: Dr. Asko Rouvinen, Senior Technical Advisor, Mevea
- Closing at 1:15 pm
There will be a short Q/A after each presentation.
The Speaker Introductions
Dr. Christian Feller is Lead Simulation Engineer at Danfoss Power Solutions, part of the Danfoss group and leading provider of mobile hydraulics for the construction, agriculture and other off-highway vehicle markets. In his role, he is mainly responsible for developing and supporting the DPS Virtual Application Development toolchain with a focus on real-time system simulation, immersive virtual testing, and model-based optimization. Mr. Feller holds a PhD degree (Dr.-Ing.) in systems theory and optimization-based control from University of Stuttgart, Germany.
As one of the leading providers of mobile hydraulics, Danfoss Power Solutions is strongly relying on virtual testing and simulation-based approaches for developing high-performing and energy-efficient applications and vehicle systems. In his presentation Dr. Feller will highlight some recent advances and insights on integrating Mevea simulation tools into the existing Danfoss Virtual Application Development environment. A focus is laid on the immersive testing of software-driven complex hydromechanical systems in an FMU based co-simulation setting.
Dr. Jose Luis Peralta holds a Bachelor’s and a Master’s degree in Electrical Engineering, and later obtained a PhD in Robotics and Automation from Helsinki University of Technology.
Prior to founding GIM Robotics in 2014 alongside his colleagues, Jose had the privilege of serving as a research visitor at NASA’s Jet Propulsion Laboratory. Since its founding, Jose has held the position of Chief Technology Officer (CTO) at GIM Robotics, driving the company’s technological advancements and shaping its strategic direction.
Leveraging his expertise, he has collaborated with numerous Fortune 500 companies, providing invaluable support in over 50 projects related to the development and commercialization of new features or full autonomous solutions for mobile machines in off-road applications.
With his presentation, discover how simulation tools can revolutionize mobile machine automation development. With standardized interfaces like ROS2, testing different sensor models and readily available algorithm modules becomes easy and streamlined. Learn how virtual testing and real-time modeling reduce development time, enabling rapid iteration and deployment of advanced automation solutions for mobile machines.
Mr. Douwe Wagenaar is the Manager of Remote Control & Simulation for Cranes at Siemens Nederland. In this role he oversees the crane control software development, testing and simulation for remotely operated harbour and industrial cranes. Mr. Wagenaar has been working for Siemens 25 years and studied Control Systems at the Technical University of Delft.
In the field of harbor crane automation, the constraints of limited physical testing time due to ongoing production and the time-consuming nature of such tests necessitate a shift towards virtual development environments. This presentation delves into the critical role of simulating structural behavior and real-time responses within this virtual environment. Siemens advancements leverage laser and camera sensor technologies to accurately detect equipment such as trucks and structures of the ship , also a precise and realistic rope sway behavior is important for sway controller.
This presentation will explore how Siemens integrates the real-time Mevea software in the development process, highlighting its applications and benefits. Attendees will gain insights into the innovative methodologies employed to enhance efficiency and accuracy in harbor crane automation, ultimately driving forward the capabilities and reliability of these essential systems.
