Design and Analysis of an Input–Output Linearization-Based Trajectory Tracking Controller for Skid-Steering Mobile Robots

Abstract

This manuscript presents a control law based on the kinematic control concept and the input–output linearization approach. More specifically, the given approach has the structure of a two-loop controller. A rigorous closed-loop system analysis is presented by using known theory on perturbed systems. By assuming that the desired velocity in the body frame is persistently exciting, the uniform bound of the tracking error in earth coordinates is ensured. A simulation study using practical mobile robot parameters shows the viability of the introduced approach. In addition, two known trajectory tracking controllers are simulated in order to compare the performance of the proposed technique. Better tracking accuracy is obtained with the proposed control approach, even if uncertainties in the knowledge of the friction coefficients are presented.

A Novel Zeroing Neural Network Control Scheme for Tracked Mobile Robot Based on an Extended State Observer

“…Numerous control methods to address this tracking issue have been reported, including sliding mode control (SMC) [3,4], backstepping control [5], model predictive control [6], adaptive control [7,8], etc. In [9], a control method was proposed for a skid-steering mobile robot based on the kinematic control concept and the input-output linearization approach. Chen et al derived the error dynamics of the path using the combination of the kinematic model of the robot and designed a horizontal steering control law for the path following of the mobile robot [10].…”