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WHAT WE DO: HARDWARE IN THE LOOP TESTING AND PHYSICS-BASED MODELING

We bring a wide range of know-how to you and your organization, ranging from component sizing and design, data-driven model optimization, low-cost rapid prototyping, as well as control system tuning. In addition, we are ready to bring you the expertise of Hardware-in-the-Loop testing, from plant modeling to definition of regression and progression testing.

WHAT WE CAN DO FOR YOU...

TEST BENCH & HARDWARE-IN-THE-LOOP TESTING (MATLAB/SIMULINK)

Test Bench Construction:

  • Tier 1 (Open Loop): Basic Test Bench for your controller, built with ad-hoc dash design (we work together with you to get that design) and interactive (manual) user I/O functionality

  • Tier 2 (Open Loop): Test Bench with ad-hoc dash design and two I/O modalities: interactive (manual) user I/O and simulated I/O. Simulated I/O allows for remote operation as well as injection of basic arbitrary inputs (limited by the capabilities of the selected external I/O card, which must be Matlab-compatible)

  • Tier 3 (Closed Loop: ideal for Continuous Integration): Test Bench with ad-hoc dash design, interactive (manual) user I/O functionality, fully simulated environment (i.e. simulated interfaces, other ECU's, etc.) and with Hardware-In-The-Loop capabilities, allowing for Regression and Progression Testing

WHAT WE CAN DO FOR YOU...

SUPPORT TOWARDS CERTIFICATION

CERTIFICATION

Establish Regression and Progression Testing (only for Tier 3) towards Certification:

  • Medical: IEC 62304

  • Automotive: ISO 26262

  • Aerospace: DO-178B/ED-12B or DO-178C/ED-12C

  • Rail: EN 50128

  • Industrial: IEC 61508


We provide:

  • Verification independence

  • Requirements-based testing

  • Determine test coverage metrics

  • Application and Simulated System Level Testing

MODELING

  • Analytical modeling using physics-based (differential) equations or derived empirically

  • Time domain and frequency domain analysis

  • Motor drive controller tuning based on empirical frequency-domain data to address specific non-rigid body modes

  • Model optimization based on System Identification techniques or empirical data

MODELING
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