Optimization of a racecar simulator
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The aim of this project is to improve and optimize the performance of a racecar simulator (rFactor) used by the PonsRacing team to prepare and train pilots for their races in the World Series By Renault 3.5 championship. We understand improve and optimize as making the simulator as equal as possible to the real racecar. First, we have improved the image and vision the pilot has of the simulator. The simulator is made of 3 projectors and during the project we have worked with the software Nthusim to modify and adapt the image that is projected, so we can enhance the realism experienced by the pilot while inside the cockpit of the simulator. Second, we have studied the internal files of the rFactor that run the vehicle's main aerodynamics, we have understood how they behave, characterized their equations and obtained the values we have to assign them in order to make them agree with the real vehicle. Finally, we have worked with the internal files for the tyres and studied its more determinant parameters. Those parameters have been characterized in a mathematical model by an empirical fit. In order to introduce values that are as similar to the real racecar as possible, we have used the Pacejka graphs done by the PonsRacing team.