Path Tracking of Mobile Robot in Crops

Evaluation of the performance of three controllers: adaptive PID, model reference adaptive controller, and fuzzy controller, is presented, applied to a mobile robot for autonomous path tracking in a crop. Different tests are run in a simulation environment in order to compare the same trajectory performed under each of those controllers. The tests are designed and implemented using SimulinkA (R) programming tools, making the robot follow a desired path across the crop. The results are compared considering the different error indices, curves and actuator requirements of each controller, in order to arrange them in different categories.