Sliding mode neuro-adaptive controller designed in discrete time for mobile robots

It is well known that all robotic systems have additional dynamics and disturbances beyond those that are modelled. Hence, in this paper, the performance of a neuro-adaptive sliding mode control (NA-SMC) controller is analysed in the presence of disturbances and unmodelled dynamics. The proposed control strategy has two stages: first, a feedback linearization controller for a kinematic model; second, a neuro-adaptive SMC controller for a dynamic model. The entire control strategy is designed in discrete time using Lyapunov’s criterion, and the stability problems caused by direct implementation in discrete time to a system designed in a continuous domain are thereby avoided. The unmodelled dynamics introduce tracking errors in the closed-loop system; however, experiments made using the proposed approach to control mobile robots show that output tracking error tends to zero.Fil: Rossomando, Francisco Guido. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Automática. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Automática; ArgentinaFil: Soria, Carlos Miguel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Automática. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Automática; ArgentinaFil: Oliveira Freire, Eduardo. Universidade Federal de Sergipe; BrasilFil: Carelli Albarracin, Ricardo Oscar. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Automática. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Automática; Argentin