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Dynamic Model Based Formation Control And Obstacle Avoidance Of Multi-robot Systems

机译:基于动态模型的多机器人系统编队控制与避障

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This work presents, first, a complete dynamic model of a unicycle-like mobile robot that takes part in a multi-robot formation. A linear parameterization of this model is performed in order to identify the model parameters. Then, the robot model is input-output feedback linearized. On a second stage, for the multi-robot system, a model is obtained by arranging into a single equation all the feedback linearized robot models. This multi-robot model is expressed in terms of formation states by applying a coordinate transformation. The inverse dynamics technique is then applied to design a formation control. The controller can be applied both to positioning and to tracking desired robot formations. The formation control can be centralized or decentralized and scalable to any number of robots. A strategy for rigid formation obstacle avoidance is also proposed. Experimental results validate the control system design.
机译:这项工作首先提出了参与多机器人编队的类独轮车移动机器人的完整动力学模型。执行此模型的线性参数化以识别模型参数。然后,对机器人模型进行输入输出反馈线性化。在第二阶段,对于多机器人系统,通过将所有反馈线性化机器人模型排列到单个方程中来获得模型。该多机器人模型通过应用坐标变换以编队状态表示。然后将逆动力学技术应用于设计地层控制。该控制器可以应用于定位和跟踪所需的机器人编队。编队控制可以是集中式或分散式的,并可以扩展到任意数量的机器人。还提出了避免刚性编队障碍的策略。实验结果验证了控制系统的设计。

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