Design of Intelligent Control System and Positioning Algorithm for Deployable Wheeled Mobile Robot

Abstract

With the increasing difficulty of tasks to be performed by robots and the more complex working environment, wheeled mobile robots must improve their adaptability to achieve real autonomy, which puts forward higher requirements for control theory and positioning technology. In order to solve the shortcomings of the existing intelligent control system design and positioning algorithm research of the deployable wheeled mobile robot, this paper discusses the controller hardware selection and the overall performance index of the deployable wheeled mobile robot based on the discussion of the intelligent control system mode of the deployable wheeled mobile robot and FastSLAM2.0 and Kalman filtering positioning algorithm, And the design of intelligent control system and positioning algorithm are discussed. Finally, through the comparison experiment between the multisensor information fusion technology and Kalman filtering algorithm designed in this paper and FastSLAM algorithm. The experimental results show that the positioning accuracy of multi-sensor information fusion technology and Hermann filtering algorithm is above 98% on average. Therefore, the design of intelligent control system and positioning algorithm of deployable wheeled mobile robot designed in this paper has high practical value.