Developing Robot Models with Digital Twins

Developing Robot Models

This week, we’re highlighting a case study from ABB Robotics. They were developing robot models, using digital twin to speed up their development processes. The tool used by ABB for model creation was MapleSim – one of many tools for creating dynamic digital twins. You can read the full story here.

All across the world today, industrial robots perform tasks that range from palletizing boxes in a warehouse, to transporting hoppers of ingredients across a food preparation factory, to precision welding on a vehicle assembly line. The successful completion of these tasks relies on the accurate control of the robotic manipulators to provide the required dexterity. With over 250,000 robots installed worldwide, engineers at ABB’s Robotics business unit understand the challenges of developing robot models and controlling robotic manipulators. Their design process includes rigorous testing with the aid of simulation models which they had been deriving using non user-friendly tools. The tedious nature of this process left them searching for a better solution.



Working with a research team from Linköping University in Sweden, via the industry excellence center LINK-SIC, engineers at ABB’s Robotics business unit in Västerås, Sweden, set out to evaluate the use of MapleSim to develop high-fidelity manipulator models that included flexible joints, gears, and dynamic friction, and to determine the ease with which the models can be exported and integrated with other software tools for simulation or controller development.

Their goal when developing robot models was to ensure that they were realistic enough to replicate the operation of a real manipulator, while still being able to run simulations on a regular desktop computer. While their previous process of deriving models using methods such as the Euler-Lagrange formulation worked well, MapleSim’s graphical interface eliminated the need to derive and manipulate equations, drastically reducing the time needed to model a manipulator.

MapleSim’s library of built-in components enables users to drag and drop, then connect components from different domains to create complex system-level models. This ease of creating models radically changed the way in which design engineers at ABB worked. They now had a more user-friendly and flexible modeling tool. Using a combination of multibody mechanics, 1-D mechanical, electrical and custom components, they were able to create multiple models of their robotic manipulator with MapleSim, in the same amount of time it was previously taking them to create just one model.

They used the time saved to apply different modeling approaches, and created models with different parameter values and levels of complexity, to determine how best to meet their design goals. Describing the flexibility that MapleSim offered them, Mikael Norrlöf, Motion Control Architect at ABB’s Robotics business unit said, “MapleSim helped us to work faster and smarter. We were able to quickly create multiple models of our robotic manipulator design, and easily compare them, to determine the best fit.”

The complete manipulator model, and a close up of a parallel linkage block

Having built a series of models representing the manipulator, the next step was to integrate them with the rest of the system for testing. ABB performs system-level testing using a complex test environment built with Simulink. Therefore, it is vital that the tool used to generate the manipulator models is able to export to, and integrate with Simulink. This capability is provided by the MapleSim Connector, which enables users to export any MapleSim model to Simulink, including models with custom components. The MapleSim Connector automatically creates S-function blocks from the symbolically simplified system equations, thus creating code that is compact and highly efficient.

Being able to export to Simulink is very important for us,” said Mikael Norrlöf. “We were able to seamlessly integrate the models created with MapleSim into our test environment, without having to modify our established workflow. This was a key factor in our decision to adopt MapleSim for model creation.”

(Editors note: While ABB Robotics used S-functions within Simulink to connect their models to their test environment, many engineers are turning to the newer FMI format for digital twin connectivity – read about it here.)

The simulation results using the MapleSim models were comparable with measurements obtained from a real manipulator – demonstrating conclusively how MapleSim can be used to generate and export high-fidelity multidomain models that replicate their manipulator’s behavior. As a result of the research carried out by the team from Linköping University, ABB has adopted MapleSim for model creation. As their engineers continue to develop new ways to increase the fidelity of the models they use to test their products, MapleSim will be an integral part of that process moving forward.

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Graham Jackson

Graham Jackson is a Technical Marketing Manager at Maplesoft. A nanotechnology engineer by education, he’s got a broad background in new technologies across domains. Graham has spent most of his career communicating technical concepts to those outside of the R&D department, and building support for system-level approaches to modeling and simulation.

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