Download PDFOpen PDF in browserVehicle Dynamics Modeling and Simulation Including Empirical Nonlinear Tire Elements with Artificial Intelligence Using Native Code MotionSim Integrated into Simulink EnvironmentEasyChair Preprint 135442 pages•Date: June 4, 2024AbstractThe development of a multibody vehicle model, generated using the MotionSim and integrated into to the Simulink environment, has been described in this study. MotionSim is a collection of codes, which has been developed in the Matlab, specifically to model multibody systems without physical definitions utilizing general coordinates, as well as to allow one the ability to modify the source code to include any special constraints or elements that may be required. MotionSim code has then been integrated into to the Simulink environment, providing a pictorial representation of physical signals and methods. With the flexibility of Matlab’s toolboxes and MotionSim being native codes, integrating Artificial Intelligence into multibody simulations can easily be achieved. In this study, the actual tire data by the Calspan Institute, providing tire testing data to Formula SAE teams, has been fitted to neural network models, which predict the tire lateral and longitudinal forces based on the slip angle and ratio. All this information is put together and can be simulated in the Simulink environment. The general multibody solver is encapsulated into the full vehicle Simulink model block. This allows the integration of control systems into the model, which can include simple elements such as a driver model utilizing a simple PID loop that may control the vehicle in the specified scenario. It also allows the inclusion of control and simulation of active suspension elements such as continuously variable dampers and stability control. Keyphrases: Artificial Intellegence, MATLAB, MotionSim, Simulink, tire
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