[Case Study] Robust Optimization of ABS Control Parameters

We will introduce a case that achieved the minimization of braking distance and lateral sway!

We will introduce a case study of optimizing ABS control parameters using the automotive vehicle motion simulation tool "CarSim." The ground contact conditions are a very important factor, and the friction coefficient (μ) between the tires and the road surface has many uncertainties due to road conditions. Therefore, it is desirable to select parameters that are as robust as possible against the μ value in response to the requirement for shortening the braking distance. Additionally, ensuring straight-line stability during sudden braking on uneven μ roads is also important, which necessitates optimization that considers the need to minimize both braking distance and lateral deviation. By using the multi-objective robust optimization function of "modeFRONTIER," we were able to explore ABS control parameters that excel in straight-line stability and braking performance. 【Case Study】 ■ Software Used: modeFRONTIER, CarSim, MATLAB/Simulink ■ Challenge: Minimize both braking distance and lateral deviation ■ Result: Successfully explored ABS control parameters with excellent straight-line stability and braking performance *For more details, please refer to the external link or feel free to contact us.

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