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Intelligent material handling mobile robot for industrial purpose with active force control capability

机译:具有主动力控制功能的工业智能物料搬运移动机器人

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摘要

This report presents both theoretical and experimental studies of a wheeled mobile system that incorporates a number of intelligent and robust closed-loop control schemes. The system may actually represent an automated material-handling transporter that can be effectively used in a manufacturing or industrial environment. An integrated kinematic and dynamic control with embedded intelligent algorithms were the main approaches employed for the robust motion control of a mobile manipulator (MM) comprising a differentially driven wheeled mobile base platform with a two-link planar arm mounted on top of the platform. The study emphasizes on the integrated kinematic and dynamic control strategy of the schemes in which the former serving as the outer most control loop is used to manipulate the trajectory components while the latter constituting the inner active force control (AFC) loop is implemented to compensate the dynamic effects including the bounded known or unknown disturbances and uncertainties while the system is executing trajectory tracking tasks. The proposed intelligent schemes considered in the study are the fuzzy logic (FL) and knowledge-based system (KBS) strategies that are incorporated into the AFC schemes to automatically estimate the inertia matrix of the system necessary to trigger the disturbance rejection capability. A virtual mobile system was also designed and included in the study to demonstrate the system capability to operate effectively in a virtual computer integrated manufacturing (CIM) environment. The effectiveness and robustness of the proposed schemes were investigated through a rigorous simulation study and later complemented with experimental results obtained through a number of experiments performed on a fully developed working prototype in a laboratory setting. A number of disturbances in the form of vibratory and impact forces are deliberately introduced into the system to evaluate the system performances. The investigation clearly demonstrates the excellent robustness feature of the proposed control scheme compared to other systems considered in the study.
机译:本报告介绍了轮式移动系统的理论和实验研究,该系统结合了许多智能和鲁棒的闭环控制方案。该系统实际上可以代表可以在制造或工业环境中有效使用的自动化物料搬运运输机。具有嵌入式智能算法的集成运动学和动态控制是用于移动机械手(MM)进行鲁棒运动控制的主要方法,该机械手包括差动驱动的轮式移动基础平台,该平台具有安装在平台顶部的两连杆平面臂。该研究着重于该方案的综合运动学和动态控制策略,其中前者用作最外部的控制回路来操纵轨迹分量,而后者构成内部的主动力控制(AFC)回路来补偿该误差。系统执行轨迹跟踪任务时的动态影响,包括有限的已知或未知扰动和不确定性。研究中考虑的拟议智能方案是模糊逻辑(FL)和基于知识的系统(KBS)策略,这些策略已合并到AFC方案中,以自动估算触发干扰抑制能力所需的系统惯性矩阵。还设计了虚拟移动系统并将其包含在研究中,以演示系统在虚拟计算机集成制造(CIM)环境中有效运行的能力。通过严格的模拟研究对所提出方案的有效性和鲁棒性进行了研究,随后补充了通过在实验室环境中对完全开发的工作原型进行的大量实验获得的实验结果。故意将许多振动和冲击力形式的干扰引入系统,以评估系统性能。与研究中考虑的其他系统相比,调查清楚地证明了所提出的控制方案具有出色的鲁棒性。

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