Simplified dynamics and stochastic controller for underwater robots

B. Lévesque, M. Richard
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引用次数: 4

Abstract

This paper introduces an augmented dynamical model for robotic manipulators, including an approximation method for the computation of drag forces. A stochastic adaptive controller, based on this model and on a model of noisy flow is then developed for the regulation of motions of a manipulator subjected to highly variable flows. The techniques described here will help to stabilize underwater systems without the help of an operator, which is an important problem due to long transmission delays in some control systems. Simulations with noisy flows show very interesting results.<>
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水下机器人的简化动力学与随机控制器
本文介绍了机器人机械臂的增广动力学模型,包括一种计算阻力的近似方法。基于该模型和噪声流模型,开发了一种随机自适应控制器,用于调节机械臂在高可变流量下的运动。这里描述的技术将有助于在没有操作员帮助的情况下稳定水下系统,这是一个重要的问题,因为在一些控制系统中传输延迟很长。带噪声流的模拟显示了非常有趣的结果
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