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Decentralized fuzzy control of multiple nonholonomic vehicles

机译:多种非完整车辆的分散模糊控制

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This work considers the problem of controlling multiple nonholonomic vehicles so that they converge to a scent source without colliding with each other. Since the control is to be implemented on a simple 8-bit microcontroller, fuzzy control rules are used to simplify a linear quadratic regulator control design. The inputs to the fuzzy controllers for each vehicle are the noisy direction to the source, the distance to the closest neighbor vehicle, and the direction to the closest vehicle. These directions are discretized into four values: forward, behind, left, and right; and the distance into three values: near, far, and gone. The values of the control at these discrete values are obtained based on the collision-avoidance repulsive forces and an attractive force towards the goal. A fuzzy inference system is used to obtain control values for inputs between the small number of discrete input values. Simulation results are provided which demonstrate that the fuzzy control law performs well compared to the exact controller. In fact, the fuzzy controller demonstrates improved robustness to noise.
机译:这项工作考虑了控制多个非完整车辆的问题,以使它们汇聚成气味源而不会相互碰撞。由于控制是在简单的8位微控制器上实现的,因此使用模糊控制规则来简化线性二次调节器控制设计。每个车辆的模糊控制器的输入是到源的噪声方向,到最近的相邻车辆的距离以及到最近的车辆的方向。这些方向离散为四个值:向前,向后,向左和向右;向前,向后,向左和向右。距离分为三个值:接近,远离和消失。基于避免碰撞的排斥力和朝向目标的吸引力来获得处于这些离散值的控制值。模糊推理系统用于获取少量离散输入值之间的输入控制值。提供的仿真结果表明,与精确控制器相比,模糊控制律表现良好。实际上,模糊控制器显示出对噪声的改进的鲁棒性。

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