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Attitude stability Control for Multi-Agent Six Wheel-Legged Robot

机译:多功能六轮腿机器人的姿态稳定性控制

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摘要

Multi wheeled-legged robot systems are MIMO complex systems with multi information fusion. In this paper, a multi-sensor information fusion based wheeled-legged cooperative control strategy is proposed to solve the problem of attitude stability control for the six wheeled-legged robot-BIT-NAZA-II. First, when the robot is wheel motion, the overall attitude of the robot is adjusted by controlling the vertical degree of freedom(DOF) for the Stewart platform. Second, when the wheel movement is on uneven road, the foot end is easy to be suspended or raised. The impedance control method based on the position inner loop is used to solve the problem of leg suspension or raised. Third, in order to ensure the maximum motion space of single leg, the central height controller is designed. Moreover, the control strategy is mainly completed by the central CPU and six bottom CPUs. Six bottom CPUs receive the force information of each leg, and calculate the position of each leg by combining the impedance controller. Meanwhile, the central CPU receives the attitude angle information, calculates the position of each leg by using the attitude controller, takes two different position commands as the input of the central height controller, outputs the calculated position of the central height controller to six bottom CPUs through UPD communication, and the bottom CPU is used to calculate the variation of Stewart platform DOF. Finally, the experimental results of the control strategy in the six wheeled-legged robot system are given, and the feasibility and effectiveness of the control strategy are verified.
机译:多轮腿机器人系统是具有多信息融合的MIMO复杂系统。本文提出了一种基于多传感器信息融合的轮腿协作控制策略,以解决六轮腿机器人比特纳崎纳崎奈斯稳定性控制问题。首先,当机器人是车轮运动时,通过控制Stewart平台的垂直自由度(DOF)来调整机器人的整体姿态。其次,当车轮运动处于不平坦的道路上时,脚端易于悬挂或升起。基于位置内环的阻抗控制方法用于解决腿部悬架或升高的问题。第三,为了确保单腿的最大运动空间,设计了中央高度控制器。此外,控制策略主要由中央CPU和六个底部CPU完成。六个底部CPU接收每个腿的力信息,并通过组合阻抗控制器来计算每个腿的位置。同时,中央CPU接收姿态角度信息,通过使用姿态控制器来计算每个腿的位置,将两个不同的位置命令作为中央高度控制器的输入输出到六个底部CPU的计算位置输出到六个底部CPU通过UPD通信,底部CPU用于计算Stewart平台DOF的变型。最后,给出了六个轮腿机器人系统中控制策略的实验结果,验证了控制策略的可行性和有效性。

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