Case Study: ZF Friedrichshafen achieves fast, scalable development of low-speed, high-precision motion control for automated driving with MathWorks

Developing Low-Speed Motion Control Algorithms for Automated Driving Functions at ZF

ZF Friedrichshafen AG, a global supplier of driveline and chassis technology, needed a scalable, flexible platform to develop low-speed motion control algorithms for high-precision automated driving maneuvers, enable efficient implementation and testing, and ensure a smooth transition to mass production. To address this, ZF partnered with MathWorks and adopted Model-Based Design using MATLAB and Simulink and associated toolboxes.

MathWorks helped ZF build an automated simulation, prototyping, and code-generation platform using MATLAB, Simulink, Control System Toolbox, Simulink Coder, and Model Predictive Control Toolbox. The solution delivered advanced control algorithms that handle errors, actuator limits, and delays, largely reducing the most time-consuming in-vehicle tuning, speeding up design cycles, enabling time- and cost-efficient development in small agile teams, and supporting a smoother path to mass production while laying the groundwork for future autonomy and V2X use cases.

ZF Friedrichshafen

Hemanth Chakravarthy

ZF Friedrichshafen