Minimum disturbance control based on synchronous and adaptive acceleration planning of dual-arm space robot to capture a rotating target

IF 1.9 4区 计算机科学 Q3 ENGINEERING, INDUSTRIAL
Qiang Liu, S. Shi, M. Jin, S. Fan, Hong Liu
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引用次数: 1

Abstract

Purpose This study aims to design a controller which can improve the end-effector low-frequency chattering resulting from the measurement noise and the time delay in the on-orbit tasks. The rendezvous point will move along the rendezvous ring owing to the error of the camera, and the manipulators’ collision need be avoided. In addition, owing to the dynamics coupling, the manipulators’ motion will disturb the spacecraft, and the low tracking accuracy of the end-effector needs to be improved. Design/methodology/approach This paper proposes a minimum disturbance controller based on the synchronous and adaptive acceleration planning to improve the tracking error and the disturbance energy. The synchronous and adaptive acceleration planning method plans the optimal rendezvous point and designs synchronous approaching method and provides an estimation method of the rendezvous point acceleration. A minimum disturbance controller is designed based on the energy conservation to optimize the disturbance resulting from the manipulator’s motion. Findings The acceleration planning method avoids the collision of two end-effectors and reduces the error caused by the low-frequency chattering. The minimum disturbance controller minimizes the disturbance energy of the manipulators’ motion transferred to the spacecraft. Experiment results show that the proposed method improves the low-frequency chattering, and the average position tracking error reduces by 30%, and disturbance energy reduces by 30% at least. In addition, it has good performances in the synchronous motion and adaptive tracking. Originality/value Given the immeasurability of the target satellite acceleration in space, this paper proposes an estimation method of the acceleration. This paper proposes a synchronous and adaptive acceleration planning method. In addition, the rendezvous points are optimized to avoid the two end-effectors collisions. By the energy conservation, the minimum disturbance controller is designed to ensure a satisfying tracking error and reduce the disturbance energy resulting from the manipulators’ motion.
基于同步和自适应加速度规划的双臂空间机器人旋转目标捕获最小扰动控制
目的设计一种控制器,以改善在轨任务中由测量噪声和时延引起的末端执行器低频抖振。由于摄像机的误差,交会点会沿交会环移动,需要避免机械手之间的碰撞。此外,由于动力学耦合,机械手的运动将对航天器产生干扰,末端执行器的跟踪精度较低,需要改进。设计方法提出了一种基于同步和自适应加速度规划的最小扰动控制器,以改善跟踪误差和扰动能量。同步自适应加速度规划方法规划了最优交会点,设计了同步逼近方法,并给出了交会点加速度的估计方法。基于能量守恒原理,设计了最小扰动控制器,对机械手运动产生的扰动进行优化。结果该方法避免了末端执行器的碰撞,减小了末端执行器低频颤振带来的误差。最小扰动控制器将机械手运动的扰动能量最小化,传递给航天器。实验结果表明,该方法改善了低频抖振,平均位置跟踪误差降低了30%,干扰能量至少降低了30%。此外,它在同步运动和自适应跟踪方面具有良好的性能。独创性/价值考虑目标卫星在空间中加速度的不可测性,提出了一种加速度估计方法。提出了一种同步自适应加速度规划方法。此外,对交会点进行了优化,避免了两个末端执行器的碰撞。从能量守恒的角度出发,设计了最小扰动控制器,保证了机器人的跟踪误差,减小了机器人运动产生的扰动能量。
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来源期刊
CiteScore
4.50
自引率
16.70%
发文量
86
审稿时长
5.7 months
期刊介绍: Industrial Robot publishes peer reviewed research articles, technology reviews and specially commissioned case studies. Each issue includes high quality content covering all aspects of robotic technology, and reflecting the most interesting and strategically important research and development activities from around the world. The journal’s policy of not publishing work that has only been tested in simulation means that only the very best and most practical research articles are included. This ensures that the material that is published has real relevance and value for commercial manufacturing and research organizations. Industrial Robot''s coverage includes, but is not restricted to: Automatic assembly Flexible manufacturing Programming optimisation Simulation and offline programming Service robots Autonomous robots Swarm intelligence Humanoid robots Prosthetics and exoskeletons Machine intelligence Military robots Underwater and aerial robots Cooperative robots Flexible grippers and tactile sensing Robot vision Teleoperation Mobile robots Search and rescue robots Robot welding Collision avoidance Robotic machining Surgical robots Call for Papers 2020 AI for Autonomous Unmanned Systems Agricultural Robot Brain-Computer Interfaces for Human-Robot Interaction Cooperative Robots Robots for Environmental Monitoring Rehabilitation Robots Wearable Robotics/Exoskeletons.
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