首页> 外文会议>International technical meeting of the Satellite Division of the Institute of Navigation;ION GNSS 2006 >Control of Wheeled Robots Using GNSS and Inertial Navigation: Control Law Synthesis and Experimental Results
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Control of Wheeled Robots Using GNSS and Inertial Navigation: Control Law Synthesis and Experimental Results

机译:GNSS和惯性导航的轮式机器人控制:控制律综合与实验结果

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The paper addresses the problem of automatic steering of the wheeled robot like a car to drive it through desired path stored in the controller memory. More specifically, a target point selected on the body of the robot must follow the target path. The target point must be driven to the target path from the arbitrary position and arbitrary orientation of the robot platform and its motion along the target path must be stabilized. The GNSS receiver and inertial sensors are used to measure the position, velocity, and orientation. The orientation of the body of the robot is necessary to translate position of the receiver antenna to the position of the target point. Orientation angles are also used in the synthesis of the control law.The problem setup described above is not new. An extensive literature is devoted to it (see [l]-[4] and references cited there). The control law synthesis is described in [3,4], but two-sided constraints on the front wheels angle are not taken into account accurately. On the other side, these constraints affect badly the stability of the motion of the robot and degrade quality of the automatic control. The properties of the transient processes happen to be dependent on the initial position and initial orientation of the robot. For some initial data the lateral displacement of the target point from the target trajectory decreases in the exponential manner predicted
机译:该白皮书解决了轮式机器人(如汽车)的自动转向问题,以通过存储在控制器存储器中的所需路径来驱动它。更具体地说,在机器人的身体上选择的目标点必须遵循目标路径。必须从机器人平台的任意位置和方向将目标点驱动到目标路径,并且必须稳定其沿目标路径的运动。 GNSS接收器和惯性传感器用于测量位置,速度和方向。为了将接收器天线的位置转换为目标点的位置,必须使用机器人的身体方向。定向角也用于控制律的综合。上述问题的设置并不是新问题。大量文献专门针对它(参见[l]-[4]及其引用的参考文献)。 [3,4]中描述了控制律综合,但是没有精确考虑前轮角度的两侧约束。另一方面,这些约束严重影响了机器人运动的稳定性并降低了自动控制的质量。瞬态过程的属性恰好取决于机器人的初始位置和初始方向。对于一些初始数据,目标点相对于目标轨迹的横向位移以预测的指数方式减小

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