Success Stories

MSC Adams Real-Time Testing with SIMulation Workbench

• Clemson University Energy Innovation Center runs high fidelity Simpack, MATLAB and Simulink models in real-time on the Concurrent Real-Time iHawk computers

https://www.nrel.gov/grid/assets/pdfs/gridsim-d205-schkoda-clemson-test-bench.pdf

• Concurrent Real-Time hardware using the latest COTS technology provides the processing power to run high-fidelity Adams-RT models in real-time.

https://www.mscsoftware.com/product/adams-real-time

Porsche Le Mans LMP1 Racing Simulator

• Porsche uses SimWB in their state-of-the-art LMP1 racing simulator

Siemens MOTORIST simulation platform

• Siemens uses SimWB in their high fidelity motorcycle simulator.

VI-Grade Car Simulator

• http://www.vi-grade.com/
• VI-grade is a developer of engineering simulation software for automotive, aircraft and rail applications.
• Uses a SIMulation Workbench system for running dynamic vehicle models.
• All models in MathWorks Simulink.
• Real-time execution required.

Dallara Race Car Simulator

The challenge: Become faster, safer and more efficient

Dallara faces increasing competition at every turn – literally and figuratively, on the track and off. While it has pledged to produce the fastest, safest racing cars with the highest standards of build quality and aftercare support, it must also operate efficiently to compete in a highly specialized global marketplace.

To maintain its lead, Dallara operates a research and development center in Parma, Italy. With a wind tunnel, state-of-the-art model-making facilities for tunnel testing, an advanced manufacturing floor and an elite engineering staff, its headquarters is a model for teams around the world. But always looking to move forward, the company also committed to develop a $10 million technology center in the U.S. near the Indianapolis Motor Speedway by 2012.

Both of these facilities require unrivaled simulation and training technology – computing solutions that are as fast, reliable and winning-oriented as the company’s cars. Developing race cars and safety systems in a simulated environment accomplishes three crucial objectives: It reduces costs, dramatically compresses development times and enables Dallara to test speed and safety theories without the expense and time of building a real race car.

“To be able to try new things in a simulated environment is a huge plus for us both in terms of our racing abilities and our business and financial goals,” said Andrea Toso, Dallara Head of R&D and U.S. Racing Business Leader. “With simulation we can push forward with theory with much less risk. We can try things that could not have been attempted if we had to go to the time and expense of putting them on a car and doing the testing on the track. Simulation opens up entire new worlds – we can try so much more.” Added Toso, “We must move forward cost-effectively and always with the needs of the customer as a first priority.”

Solution

Winner of Indy 500 selects Concurrent’s RedHawkTM and SIMulation WorkbenchTM for realistic, cost-effective testing Dallara selected Concurrent Real-Time to provide simulation and training technology for its renowned research and development center in Parma, Italy. This technology has also been deployed at the company’s new facility near the location of one of its great wins – the Indianapolis Motor Speedway.

“After extensive research, we selected Concurrent as our simulation provider because we were impressed with the performance of its RedHawk Linux® real-time operating system and SIMulation Workbench modeling environment,” said Toso. Only Concurrent could deliver the highest levels of computer-generated image quality and fidelity, Toso said.

A continuing leader and pioneer in high-performance, real-time software, Concurrent delivers multi-core solutions for the most demanding of mission-critical applications. Concurrent serves a diverse base of customers who rely on time-critical applications including the, government, aerospace and defense, financial services, medical and industrial market sectors.

Results

With Concurrent, Dallara offers its drivers and engineers a more realistic development environment Simulation will be the frontline technology used in Dallara’s ongoing development of the IndyCar Chassis, the core of the next generation of IZOD IndyCar Series car to be delivered by Dallara in 2012.

Simulators will also be used to provide in-depth training to the drivers and engineers so they can assess and develop car dynamics before delivery and track testing. This technology will additionally facilitate the ongoing development pursued by the Indy Racing League in order to deliver to the media and fans a close racing environment.

“We’re excited about this global opportunity and expanding our reach in the automobile and racing industry with such a prestigious market leader,” said Ken Jackson, Concurrent Real-Time Vice President. “Our real-time simulation technology, together with Dallara’s race car design expertise, creates a state-of-the-art simulator experience for the IndyCar teams to use for training and technology development.”

A plan to win on and off the race track

Gian Paolo Dallara, president and founder of Dallara, said he believes it is critical for the company to focus on goals beyond the race track. “We are an engineering company focused on delivering industry-leading solutions to the racing industry at large,” he said. “Aside from the U.S. factory, it is also important to operate an engineering center open to our partners, universities, race engineers, teams and drivers. Dallara is going to be a key part in the resurgence of the Motorsport Industry in Indianapolis, and Concurrent is one of our partners in making that happen.”

As Dallara looks to create engineers of the future, it intends to partner with the University of Indiana and the University of Bologna to establish a master degree course in motorsport, with emphasis in manufacturing competition racing cars. It plans to use the simulator to train engineering students in controlled and repeatable conditions. “Concurrent real-time products provide an unprecedented level of accuracy and realism in our driving simulators, and we’re confident that they can help us cost-effectively deliver next-generation racing dynamics,” added Dallara. “We believe the wealth of our experience and continued investment in people and equipment provides us with the perfect foundation to take on the constantly evolving challenges of international motorsport - and win,” he said.

Airbus HIL Test Stands

• Airbus A440M, A320, A340 and A350 HLSS HIL simulation.
• Testing, verification and validation of the Airbus High Lift System used to control of wing flaps that generate high lift during takeoff and landing.
• Seamless integration with MathWorks Simulink for rapid model-based simulation.
• Thousands of I/O points and Simulink variables accessible via the SimWB Real-time Data Base.
• All operations occur in real-time within a 500 microsecond frame time.

Lockheed Martin Maritime

• Automation and control systems for U.S. Navy ships.
• Uses SimWB for laboratory HIL simulation of steering, propulsion, ballast tank balancing and other ship controls.
• Seamless integration of pre-existing MathWorks Simulink models into the SimWB environment.
• I/O support includes multiple AI, AO, DIO and resistor simulator cards.
• Takes advantage of RedHawk real-time determinism and low latency.

Audi Advanced Cruise Control

• Audi uses SIMulation Workbench for advanced cruise control HIL simulation.
• All models in Mathworks Simulink.
• I/O support includes FlexRay, CAN, A/D, D/A and DIO.
• Supports a FlexRay-to-FlexRay gateway.
• Possible future expansion to steering control simulation.

Ford HIL ECU Test Stands

• Complete engine (plant), transmission and driver models.
• ECU software calibration and OBD diagnostics testing.
• Model architecture supports various HIL targets together with software-in-the-loop (SIL) testing via a single I/O subsystem library.
• Test control using industry standard ASAM AE HIL API.
• Cycle time 1KHz.
• Click on this link to find out more details about this project.

Real-time vehicle dynamics analysis based on analysis method with numerical dissipation

In this paper, a numerical integration method for real-time vehicle dynamics analysis with multibody technique is discussed. When the effect of the deformation of a rubber bush is considered in a multibody simulation, the rubber bush is usually defined as a force element with a high-stiffness property. In this case, the multibody vehicle model contains high frequency modes. As a result, the multibody vehicle model requires a small step size for the numerical integration. In this research, the real-time simulation with a multibody vehicle model was realized by the generalized-α scheme, which allows a dissipation of high-frequency modes with keeping the accuracy in low-frequency modes. In order to evaluate the influence of the parameter for the generalized-α scheme on the accuracy of an analysis result, the authors propose to derive a transition matrix from numerical simulation results. In addition, a methodology of choosing the parameter for a real-time simulation is also mentioned. It was confirmed that a stable real-time simulation with multibody vehicle model including the rubber bush properties can be performed with keeping high accuracy for low frequency modes by choosing a proper parameter according to the methodology

Full paper below: https://www.jstage.jst.go.jp/article/transjsme/advpub/0/advpub_19-00234/_pdf/-char/ja