Implementation of Intelligent Control Techniques Applied on a Line Follower Vehicle Controller

This is the model obtained in relation to the real system. And, based on this validation, a study and comparison of the various control techniques can be carried out via simulations, with the aim of identifying the best solution for the system. The proposal of the present work is to present a controller for the trail following vehicle based on a model of the vehicle so that the practical result can be compared with the theoretical one on the same model, however with a reduced complexity for the application in a scale model, in addition to incorporating knowledge about the plant with an intelligent controller and verifying its operation in practice. To use the same model in theory and practice, it will be raised based on experimental data, with black box (or empirical) identification techniques, and validated with several tests, seeking to use the smallest number of external sensors possible. This work aims to contribute to the efficient and sustainable integration of EVs into the transportation ecosystem by optimizing the performance of charging infrastructure through the use of Power Factor Correction converters.