Developing Safe Industrial Equipment using Simulation - MATLAB & Simulink

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Developing Safe Industrial Equipment using Simulation

Start Time End Time
6 May 2025, 8:00 AM UTC 6 May 2025, 9:00 AM UTC

Overview

Manufacturers of packaging machines, agricultural and forestry equipment, industrial robots, escalators, and other automated machinery face increasing regulatory and functional safety requirements. With the introduction of the EU Machinery Regulation (EU 2023/1230), along with established safety standards such as ISO 13849, IEC 61508, and IEC 62061, ensuring compliance while improving performance and efficiency is increasingly important. 

In this webinar, you will learn how MathWorks tools support the development of safety-critical machinery by enabling system modeling, control design, and simulation-based testing.

Highlights

  • Building accurate system models to analyze machine behavior and safety requirements early in the design process.

  • Simulating and testing safety functions to detect potential hazards and ensure compliance with industry regulations.

  • Generating PLC application code automatically to reduce errors and streamline certification.

  • Validating designs with Hardware-in-the-Loop (HIL) testing to ensure safety before deployment.

  • Using Virtual Commissioning to test machine operation in a digital twin environment before physical implementation.

About the Presenter

Valtteri Forsman works as an application engineer at MathWorks focusing on Model-Based Design and Certification workflows. Prior to MathWorks he developed control systems for power generation, mobile machine, and heavy-duty vehicle applications. Valtteri holds a M.Sc. degree in automation engineering from Tampere University specializing in systems and control engineering.

Magnus Jung works as an application engineering manager at MathWorks, focusing on Verification and Certification workflows. He joined MathWorks in 2009 and has been supporting customers in a wide range of industries, focusing on how to efficiently test and verify models and algorithms. Magnus holds a M.S. degree in electrical engineering from the Royal Institute of Technology, Stockholm.

Product Focus

Developing Safe Industrial Equipment using Simulation

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