Tracking-error model-based predictive control for mobile robots in real time

In this paper, a model-predictive trajectory-tracking control applied to a mobile robot is presented. Linearized tracking-error dynamics is used to predict future system behavior and a control law is derived from a quadratic cost function penalizing the system tracking error and the control effort. Experimental results on a real mobile robot are presented and a comparison of the control obtained with that of a time-varying statefeedback controller is given. The proposed controller includes velocity and acceleration constraints to prevent the mobile robot from slipping and a Smith predictor is used to compensate for the vision-system dead-time. Some ideas for future work are also discussed. c 2007 Elsevier B.V. All rights reserved.

• Type: Journal
• Year: 2007
• Where: RAS
• Authors: Gregor Klancar, Igor Skrjanc
• Keywords: Mobile Robot, Model-predictive Trajectory-tracking Control, RAS 2007, Real Mobile Robot