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Titlebook: Robot Dynamics Algorithms; Roy Featherstone Book 1987 Springer Science+Business Media New York 1987 algorithms.computer.dynamics.efficienc

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书目名称Robot Dynamics Algorithms
编辑Roy Featherstone
视频video
丛书名称The Springer International Series in Engineering and Computer Science
图书封面Titlebook: Robot Dynamics Algorithms;  Roy Featherstone Book 1987 Springer Science+Business Media New York 1987 algorithms.computer.dynamics.efficienc
描述The purpose of this book is to present computationally efficient algorithms for calculating the dynamics of robot mechanisms represented as systems of rigid bodies. The efficiency is achieved by the use of recursive formulations of the equations of motion, i.e. formulations in which the equations of motion are expressed implicitly in terms of recurrence relations between the quantities describing the system. The use of recursive formulations in dynamics is fairly new, 50 the principles of their operation and reasons for their efficiency are explained. Three main algorithms are described: the recursIve Newton-Euler formulation for inverse dynamics (the calculation of the forces given the accelerations), and the composite-rigid-body and articulated-body methods for forward dynamics (the calculation of the accelerations given the forces). These algorithms are initially described in terms of an un-branched, open­ loop kinematic chain -- a typical serial robot mechanism. This is done to keep the descriptions of the algorithms simple, and is in line with descriptions appearing in the literature. Once the basic algorithms have been introduced, the restrictions on the mechanism are lifted
出版日期Book 1987
关键词algorithms; computer; dynamics; efficiency; environment; iron; joints; kinematics; mechanism; mechanisms; robo
版次1
doihttps://doi.org/10.1007/978-0-387-74315-8
isbn_softcover978-1-4757-6437-6
isbn_ebook978-0-387-74315-8Series ISSN 0893-3405
issn_series 0893-3405
copyrightSpringer Science+Business Media New York 1987
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,Inverse Dynamics — The Recursive Newton-Euler Method,ed to execute a proposed trajectory do not exceed the actuators’ limits [16], and recently discovered time-scaling properties of inverse dynamics have facilitated its use in planning minimum-time trajectories [52], [23]. Inverse dynamics is also used as a building block for constructing forward dynamics algorithms (see Chapter 5).
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Introduction,puter. A robot mechanism is assumed to be a system of rigid bodies connected by ideal joints and powered by ideal force generators. In the sense that a robot mechanism is a rigid-body system, the algorithms described here for robot dynamics are also algorithms for the dynamics of certain classes of
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Spatial Kinematics,ed in rigid-body dynamics. The usefulness of spatial vectors and related quantities lies in their power to simplify the description and analysis of rigid-body systems: a single spatial vector can hold the information which would otherwise need at least two 3-dimensional vectors, and a single spatial
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Spatial Dynamics,th the dynamic aspects — principally inertia. The spatial momentum of a rigid body is defined, then spatial rigid-body inertia is defined as a mapping between velocity and momentum, and its representation as a 6 × 6 matrix is deduced. The basic operations of transformation, differentiation and combi
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