Abstract
In this paper, an adaptive trajectory tracking controller is developed for a wheeled mobile robot (WMR) with unknown parameters and uncertainties. In this method, a kinematics controller is used to generate a virtual velocity serving as a reference input for the dynamics control system, an on-line adaption law is introduced to estimate the unknown parameter, and an adaptive controller is designed by using the parameter estimate value. It is proved that all of signals in the closed-loop system are bounded, and that the posture tracking errors asymptotically convergence to zero. Simulation results demonstrate the effectiveness of the proposed method.
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References
Sašo B (2011) A novel trajectory-tracking control law for wheeled mobile robots. Robot Auton Syst 59(11):1001–1007
Guechi E, Lauber J, Dambrine M, Defoort M (2012) Output feedback controller design of a unicycle-type mobile robot with delayed measurements. IET Control Theory Appl 6(5):726–733
Canudas DW, Sørdalen O (1992) Exponential stabilization of mobile robots with nonholonomic constraints. IEEE Trans. Automatic Control 37(11):1791–1797
Yang J, Kim J (2002) Sliding mode motion control of nonholonomic mobile robots. IEEE Control Syst 19(2):15–23
Kozłowski K, Majchrzak J (2002) A new control algorithm for a nonholonomic mobile robot. Archives Control Sci 12(12):37–69
Li Y, Wang Z, Zhu L (2010) Adaptive neural network PID sliding mode dynamic control of nonholonomic mobile robot. In: IEEE International Conference on Information & Automation
Park B, Yoo S, Park J et al (2009) Adaptive neural sliding mode control of nonholonomic wheeled mobile robots with model uncertainty. IEEE Trans Control Syst Technol 17(1):207–214
Xin L, Wang Q, She J, Li Y (2016) Robust adaptive tracking control of wheeled mobile robot. Rob Auton Syst 78:36–48
Matraji I, AI-Durra A, Haryono A (2018) Trajectory tracking control of skid-steered mobile robot based on adaptive second order sliding mode control. Control Eng Pract 72:167–176
Chen X, Zhao H, Sun H (2019) A novel adaptive robust control approach for underactuated mobile robot. J Franklin Inst 356(5):2474–2490
Boukens M, Boukabou A, Chadli M (2017) Robust adaptive neural network-based trajectory tracking control approach for nonholonomic electrically driven mobile robots. Robot Auton Syst 92:30–40
Zeng W, Wang Q, Liu F, Wang Y (2016) Learning from adaptive neural network output feedback control of a unicycle-type mobile robot. ISA Trans 61:337–347
Huang D, Zhai J, Ai W, Fei S (2016) Disturbance observer-based robust control for trajectory tracking of wheeled mobile robots. Neurocomputing 198:74–79
Song Y, Huang X, Wen C (2016) Tracking control for a class of unknown nonsquare MIMO nonaffine systems: a deep-rooted information based robust adaptive approach. IEEE Trans Autom Control 61(10):3227–3233
Wu H (2004) Adaptive robust tracking and model following of uncertain dynamical systems with multiple time delays. IEEE Trans Autom Control 49(4):611–616
Khalil H (2002) Nonlinear systems. Prentice Hall, Third Edition
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Shen, X., Shi, W. (2020). An Adaptive Controller for Wheeled Mobile Robot Trajectory Tracking. In: Jia, Y., Du, J., Zhang, W. (eds) Proceedings of 2019 Chinese Intelligent Systems Conference. CISC 2019. Lecture Notes in Electrical Engineering, vol 594. Springer, Singapore. https://doi.org/10.1007/978-981-32-9698-5_27
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DOI: https://doi.org/10.1007/978-981-32-9698-5_27
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