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Control of flexible mobile manipulators: positioning and vibration reduction using an eye-in-hand range camera

机译:控制灵活的移动机械手:使用手持式测距摄像机进行定位和减振

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In this paper, the positioning of a long flexible manipulator on a moving platform is investigated. The problem is to position the gripper at a requested relative distance in front of an object with unknown location. For this purpose, the gripper is equipped with a range camera giving the distance to surrounding objects within, ~ 1/100 and with a sampling rate above 1 kHz. The range measurements are used in combination with internal angle measurements from joint encoders to estimate both the flexibility in the mechanical construction and the relative distance from gripper to object. This is solved satisfactorily by an extended Kalman filter (EKF). For the motion control of the manipulator, a time-scaled feedback controller is suggested. A fast inner loop is used to damp out oscillations and reject disturbances, both from the platform and the manipulator. An outer control loop, with a lower closed-loop bandwidth, then steers the gripper, based on the range measurements, to the requested final position in front of the object. This loop assumes a stationary and rigid platform and a rigid manipulator. At this moment, only simulations of a flexible manipulator on a rigid platform have been studied. However, the results show that the flexibility can be estimated from indirect measurements of the range to the object and the joint angles. Also, good damping and disturbance rejection are achieved, as long as the bandwidth of the actuators is sufficiently high compared to the oscillation. The use of range measurements of the surrounding objects makes the positioning task very robust
机译:在本文中,研究了在移动平台上的长柔性机械手的定位。问题是将抓具放置在位置未知的物体前面所需的相对距离处。为此,抓具配备了一个测距相机,可以使周围物体的距离在1/100以内,采样率高于1 kHz。范围测量值与联合编码器的内角测量值结合使用,可以估算机械结构的灵活性以及从抓取器到物体的相对距离。通过扩展卡尔曼滤波器(EKF)可以令人满意地解决此问题。对于机械手的运动控制,建议使用时标反馈控制器。快速的内部环路用于抑制平台和机械手的振荡并抑制干扰。然后,一个具有较低闭环带宽的外部控制环会根据距离测量值将抓具转向到物体前面要求的最终位置。该循环采用固定的刚性平台和刚性操纵器。目前,仅研究了在刚性平台上的柔性机械手的仿真。但是,结果表明,可以通过对物体的范围和关节角度的间接测量来估计柔韧性。而且,只要致动器的带宽与振动相比足够高,就可以获得良好的阻尼和干扰抑制。使用周围物体的距离测量值使定位任务非常强大

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