Frontloading and automating controller calibration and virtual verification
Model-based verification and design optimization of controller calibration
The recent advancement of ADAS/AD technology is placing new challenges to develop robust software calibrations. As the lines of software code continue to increase exponentially, companies are being challenged with the ability to tune the software and are even more to pursue this with the multitude of environmental scenarios that could potentially affect the performance of the control software.
Managing conflicting calibration requirements and attributes through physical validation and testing is no longer sustainable. Frontloading and automating controller calibration and virtual verification is a cost and time-efficient approach to reduce on-road testing and calibration.
Accelerate controller calibration applying system simulation
Model-based development, including virtual verification, is a critical success factor in reducing on-road testing and calibration.
Watch the webinar and learn how to:
- Use system simulation for MiL, SiL, HiL, ViL, and controls validation
- Understand the requirement differences between controller calibration and verification models
- Address differences between virtual calibration and calibration challenges
- Frontload controller calibration at different stages of the development process
- Deploy optimization tools to find the optimal calibration parameter
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