机器人运动控制问题的重新定义:植物动力学、驱动系统约束和用户需求的影响

L. Sweet, M. Good
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引用次数: 183

摘要

本文的目标是重新定义机器人控制问题,基于(1)工业机器人作为受控工厂的现实模型,(2)与制造应用一致的末端执行器轨迹,以及(3)末端执行器传感的需要来补偿大多数机器人制造应用固有的不确定性。基于广泛的分析和实验研究,提出了真实的机器人动力学模型,并在0到50 Hz的频率范围内进行了验证。这些模型显示出驱动系统灵活性的强烈影响,产生8 Hz, 14 Hz和40 Hz附近的轻阻尼极点,这些都是传统刚体多连杆机器人动力学方法无法建模的。除了连杆机构本身众所周知的非线性外,所提出的模型还量化了驱动系统中非线性的重要性。机器人动力学和运动控制的真实仿真表明,现有的控制与有效的路径规划相结合,产生的动态路径误差对于大多数制造应用来说是可以接受的。通过举例,预测了使用末端执行器传感器进行位置、力和过程控制的主要好处,这些传感器可以补偿工厂车间遇到的不确定性。
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Re-definition of the robot motion control problem: Effects of plant dynamics, drive system constraints, and user requirements
The objective of this paper is a redefinition of the robot control problem, based on realistic (1) models for the industrial robot as a controlled plant, (2) end effector trajectories consistent with manufacturing applications, and (3) the need for end-effector sensing to compensate for uncertainties inherent to most robotic manufacturing applications. Based on extensive analytical and experimental studies, realistic robot dynamic models are presented that have been validated over the frequency range 0 to 50 Hz. These models exhibit a strong influence of drive system flexibility, producing lightly damped poles in the neighborhood of 8 Hz, 14 Hz, and 40 Hz, all unmodeled by the conventional rigid body multiple link robot dynamic approach. The models presented also quantify the significance of nonlinearities in the drive system, in addition to those well-known in the linkage itself. Realistic simulations of robot dynamics and motion controls demonstrate that existing controls coupled with effective path planning produce dynamic path errors that are acceptable for most manufacturing applications. Major benefits are projected, with examples cited, for use of end-effector sensors for position, force, and process control that compensate for uncertainties encountered on the factory floor.
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