Visual Trajectory-Tracking Model-Based Control for Mobile Robots. (10th September 2013)

• Record Type: Journal Article
• Authors: Zdešar, Andrej; Škrjanc, Igor; Klančar, Gregor
• Is Part Of: International journal of advanced robotic systems. Volume 10:Number 9(2013)
• Publication Date: 2013-09-10
• Subjects: Visual Servoing -- Trajectory-Tracking -- Two DOF Control -- Differential Flatness -- Error Model Predictive Control; Robotics -- Periodicals; Robotics; Periodicals; 629.892
• DOI: 10.5772/56757
• Languages: English
• ISSNs: 1729-8806

Abstract

In this paper we present a visual-control algorithm for driving a mobile robot along the reference trajectory. The configuration of the system consists of a two-wheeled differentially driven mobile robot that is observed by an overhead camera, which can be placed at arbitrary, but reasonable, inclination with respect to the ground plane. The controller must be capable of generating appropriate tangential and angular control velocities for the trajectory-tracking problem, based on the information received about the robot position obtained in the image. To be able to track the position of the robot through a sequence of images in real-time, the robot is marked with an artificial marker that can be distinguishably recognized by the image recognition subsystem. Using the property of differential flatness, a dynamic feedback compensator can be designed for the system, thereby extending the system into a linear form. The presented control algorithm for reference tracking combines a feedforward and a feedback loop, the structure also known as a two DOF control scheme. The feedforward part should drive the system to the vicinity of the reference trajectory and the feedback part should eliminate any errors that occur due to noise and other disturbances etc. The feedforward control can never achieve accurate reference following, but this deficiency can be eliminated with the introduction of the feedback loop. The design of the model predictive control is based on the linear error model. The model predictive control is given in analytical form, so the computational burden is kept at a reasonable level for real-time implementation. The control algorithm requires that a reference trajectory is at least twice differentiable function. A suitable approach to design such a trajectory is by exploiting some useful properties of the Bernstein-Bézier parametric curves. The simulation experiments as well as real system experiments on a robot normally used in the robot soccer small league prove the applicability of the presented control approach.