Trajectory tracking controller for differential-drive mobile robots

This paper describes a time-invariant controller for trajectory tracking applied to the differential-drive mobile robot (DDMR), where the interest point position is located in an arbitrary position, the extended kinematic model of DDMR is used to propose a inverse kinematic controller; where, the extended kinematic model proposes a holonomic-like model for non-holonomic system, allowing this way, the use of inverse kinematic as control strategy. The system stability is proved by according to the Lyapunov theory, concluding that the system is asymptotically stable. Simulations show a good controller performance for different trajectories proposed.

[1]  Giuseppe Oriolo,et al.  Feedback control of a nonholonomic car-like robot , 1998 .

[2]  Fumio Miyazaki,et al.  A stable tracking control method for an autonomous mobile robot , 1990, Proceedings., IEEE International Conference on Robotics and Automation.

[3]  Ricardo O. Carelli,et al.  Sliding Mode Neuro Adaptive Control in Trajectory Tracking for Mobile Robots , 2014, J. Intell. Robotic Syst..

[4]  Rafael Kelly,et al.  On modeling and position tracking control of the generalized differential driven wheeled mobile robot , 2016, 2016 IEEE International Conference on Automatica (ICA-ACCA).

[5]  Dongkyoung Chwa,et al.  Tracking Control of Differential-Drive Wheeled Mobile Robots Using a Backstepping-Like Feedback Linearization , 2010, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

[6]  Myung Hwangbo,et al.  A stable target-tracking control for unicycle mobile robots , 2000, Proceedings. 2000 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2000) (Cat. No.00CH37113).

[7]  Renquan Lu,et al.  Trajectory-Tracking Control of Mobile Robot Systems Incorporating Neural-Dynamic Optimized Model Predictive Approach , 2016, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[8]  Lihong Xu,et al.  Adaptive fuzzy control for trajectory tracking of Mobile Robot , 2010, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems.