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Ultrasonic sensor based two-wheeled self-balancing robot obstacle avoidance control system

机译:基于超声波传感器的两轮自平衡机器人避障控制系统

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Aiming at the propose of preventing various barriers, which may cause collisions, during the moving process of a two-wheeled self-balanced robot, the ultrasonic ranging theory and DSP TMS320F28335 are adopted as the core controller by taking the two-wheeled self-balanced robot Hominid 3 as the platform. An obstacle avoidance control system for the two-wheeled self-balanced robot based on ultrasonic wave sensors is presented in this paper. DSP is employed to store and process the environmental information, which is collected by ultrasonic wave sensors. Particularly, the fuzzy controltheory was introduced based on the control algorithm of evaluation system to design the fuzzy controller. Moreover, MATLAB is used to carry out the obstacle avoidance simulation verification for the two-wheeled self-balanced robot based on the fuzzy control algorithm. Finally, obstacle avoidance experiments are carried out for the Hominid 3 in the practical environment. The results in simulation and experiments proved that the fuzzy control algorithm is feasible.
机译:针对防止两轮自平衡机器人运动过程中各种障碍物的提出,以两轮自平衡机器人为核心,采用超声波测距理论和DSP TMS320F28335作为核心控制器。机器人Hominid 3作为平台。提出了一种基于超声波传感器的两轮自平衡机器人避障控制系统。 DSP用于存储和处理由超声波传感器收集的环境信息。特别地,基于评估系统的控制算法,引入了模糊控制理论,设计了模糊控制器。此外,基于模糊控制算法,使用MATLAB对两轮自平衡机器人进行避障仿真验证。最后,在实际环境中针对Hominid 3进行了避障实验。仿真和实验结果表明,该模糊控制算法是可行的。

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