Continuous validation in the development process of a vehicle is only feasible if a virtual prototype is available as early as possible in the development process. In this virtual prototype, the virtual sub models of the vehicle are integrated into one simulation model, which is then used to evaluate the fulfillment of requirements or KPIs.
A generic vehicle dynamics controller controls all active chassis components. Therefore, the generic vehicle dynamics controller allows fast and easy examination of changes of chassis components since the controller is able to allocate all available control signals. In this work, a model predictive vehicle dynamics controller is used. The vehicle dynamics model is based on a two-track model using Magic Formula tire models. An interior point optimizer is used to solve the resulting optimization problem regarding boundary conditions, such as available friction coefficients and actuator limitations.
Furthermore, controller redundancy concepts can be evaluated at the beginning of the development process, since a fail of an actuator can be regarded during runtime in the controller and the remaining dynamic performance of the vehicle can be examined. This is especially important for the design of X-by-wire chassis components to ensure fail-operational system behavior.
In summary, the controller allows vehicle dynamics properties to be analyzed and optimized earlier in the development process, thus avoiding costly modifications later on.
A Generic Model Predictive Vehicle Dynamics Controller for Simulation
Proceedings
International Munich Chassis Symposium ; 2023 ; München, Germany June 20, 2023 - June 21, 2023
2024-12-24
11 pages
Article/Chapter (Book)
Electronic Resource
English
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