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Challenges of Linearization-based Control of Industrial Robots with Cycloidal Drives

机译:基于线性化的工业机器人控制与摆线驱动器的挑战

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Most industrial robots are still controlled with motor-side feedback. To increase the accuracy of industrial robots, controllers with joint-side feedback and explicit consideration of the joint elasticity, such as linearization-based controllers, are needed. The key issue for the performance of linearization-based controllers is a high-fidelity model. Today, the drivetrains installed in the joints of industrial robots of the high payload class usually consist of a permanent magnet synchronous machine and a cycloidal drive. Such robot joints are highly nonlinear due to effects like hysteresis, torque ripples and friction. Therefore, the drivetrain dynamics are crucial for the experimental performance of linearization-based controllers for industrial robots. This paper identifies the challenges in linearization-based control of industrial robots with such a drivetrain configuration based on experimental results on a KUKA KR-210-2. Using an exemplary approach, it is shown that a linearization-based controller does not provide the theoretical performance due to needed model simplifications. For this purpose, simulation and experimental results are compared to a linear robot controller with motor-side feedback. These results indicate why such controllers are still a valid alternative for the practical application of similar industrial robots.
机译:大多数工业机器人仍然控制电动机侧反馈。为了提高工业机器人的准确性,需要具有关节反馈的控制器,并明确考虑联合弹性,例如基于线性化的控制器。线性化控制器性能的关键问题是一个高保真模型。如今,安装在高效载荷类的工业机器人关节中的动力测定通常包括永磁同步机和摆线驱动器。由于滞后,扭矩涟漪和摩擦等效果,这种机器人关节是高度的非线性。因此,动力传动系统动态对于工业机器人的线性化控制器的实验性能至关重要。本文根据Kuka KR-210-2的实验结果,确定了具有这种动脉机器人的线性化控制中基于线性化控制的挑战。使用示例性方法,示出基于线性化的控制器由于所需的模型简化而不提供理论性能。为此目的,将模拟和实验结果与具有电动机侧反馈的线性机器人控制器进行比较。这些结果表明,为什么这种控制器仍然是类似工业机器人的实际应用的有效替代方案。

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