Control of car-like robots using sliding observers for steering angle estimation

This paper presents a new control algorithm for the car-like robot path tracking problem based on a model whose reference point is the middle point of the front axle. The proposed control algorithm is proved to be robust with respect to bounded disturbances and does not use measurements of steering angle. Disturbances and the steering angle are estimated via sliding mode observers. The results are confirmed by simulation.