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Intelligent control for a perturbed autonomous wheeled mobile robot: a type-2 fuzzy logic approach. (English) Zbl 1117.93048

Summary: This paper focuses on the control of wheeled mobile robot subject to bounded disturbances. A tracking controller for the mobile robot was developed by considering its kinematic model and Euler-Lagrange dynamics. Type-2 fuzzy logic is proposed to synthesize the controller for the overall system via backstepping methodology which is claimed to be a robust tool for related applications. A systematic procedure to satisfy required time responses for stabilitzation of the kinematic model is made through genetic algorithm approch. Simulation results are presented confirming the performance of the tracking controller.

MSC:

93C85 Automated systems (robots, etc.) in control theory
93C42 Fuzzy control/observation systems
03B52 Fuzzy logic; logic of vagueness
68T40 Artificial intelligence for robotics