This paper presents an adaptive exponential sliding mode control as a solution to reduce chattering, uncertainties and disturbances for the trajectory tracking of a nonholonomic wheeled mobile robot. Compared to conventional sliding mode control, the exponential sliding mode control reduces chattering on input controls as well as delivering a high dynamic tracking performance in a steady-state mode. An adaptive control law is added to the developed exponential sliding mode control to overcome external disturbances and improve performance of the controller against uncertainties. The developed algorithm instructs the robot to keep moving on the desired trajectory while reducing tracking errors. The experimental testing results on a unicycle mobile robot are presented to demonstrate the performance of the adaptive exponential sliding mode controller against uncertainties and disturbances. © Springer-Verlag Berlin Heidelberg 2012.
CITATION STYLE
Mehrjerdi, H., Zhang, Y. M., & Saad, M. (2012). Adaptive exponential sliding mode control for dynamic tracking of a nonholonomic mobile robot. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7506 LNAI, pp. 643–652). https://doi.org/10.1007/978-3-642-33509-9_64
Mendeley helps you to discover research relevant for your work.