8.09(F14) Chapter 2: Rigid Body Dynamics
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Understanding Euler Angles 1
Welcome Guest View Cart (0 items) Login Home Products Support News About Us Understanding Euler Angles 1. Introduction Attitude and Heading Sensors from CH Robotics can provide orientation information using both Euler Angles and Quaternions. Compared to quaternions, Euler Angles are simple and intuitive and they lend themselves well to simple analysis and control. On the other hand, Euler Angles are limited by a phenomenon called "Gimbal Lock," which we will investigate in more detail later. In applications where the sensor will never operate near pitch angles of +/‐ 90 degrees, Euler Angles are a good choice. Sensors from CH Robotics that can provide Euler Angle outputs include the GP9 GPS‐Aided AHRS, and the UM7 Orientation Sensor. Figure 1 ‐ The Inertial Frame Euler angles provide a way to represent the 3D orientation of an object using a combination of three rotations about different axes. For convenience, we use multiple coordinate frames to describe the orientation of the sensor, including the "inertial frame," the "vehicle‐1 frame," the "vehicle‐2 frame," and the "body frame." The inertial frame axes are Earth‐fixed, and the body frame axes are aligned with the sensor. The vehicle‐1 and vehicle‐2 are intermediary frames used for convenience when illustrating the sequence of operations that take us from the inertial frame to the body frame of the sensor. It may seem unnecessarily complicated to use four different coordinate frames to describe the orientation of the sensor, but the motivation for doing so will become clear as we proceed. For clarity, this application note assumes that the sensor is mounted to an aircraft. -
Rotational Motion (The Dynamics of a Rigid Body)
University of Nebraska - Lincoln DigitalCommons@University of Nebraska - Lincoln Robert Katz Publications Research Papers in Physics and Astronomy 1-1958 Physics, Chapter 11: Rotational Motion (The Dynamics of a Rigid Body) Henry Semat City College of New York Robert Katz University of Nebraska-Lincoln, [email protected] Follow this and additional works at: https://digitalcommons.unl.edu/physicskatz Part of the Physics Commons Semat, Henry and Katz, Robert, "Physics, Chapter 11: Rotational Motion (The Dynamics of a Rigid Body)" (1958). Robert Katz Publications. 141. https://digitalcommons.unl.edu/physicskatz/141 This Article is brought to you for free and open access by the Research Papers in Physics and Astronomy at DigitalCommons@University of Nebraska - Lincoln. It has been accepted for inclusion in Robert Katz Publications by an authorized administrator of DigitalCommons@University of Nebraska - Lincoln. 11 Rotational Motion (The Dynamics of a Rigid Body) 11-1 Motion about a Fixed Axis The motion of the flywheel of an engine and of a pulley on its axle are examples of an important type of motion of a rigid body, that of the motion of rotation about a fixed axis. Consider the motion of a uniform disk rotat ing about a fixed axis passing through its center of gravity C perpendicular to the face of the disk, as shown in Figure 11-1. The motion of this disk may be de scribed in terms of the motions of each of its individual particles, but a better way to describe the motion is in terms of the angle through which the disk rotates. -
Lecture 10: Impulse and Momentum
ME 230 Kinematics and Dynamics Wei-Chih Wang Department of Mechanical Engineering University of Washington Kinetics of a particle: Impulse and Momentum Chapter 15 Chapter objectives • Develop the principle of linear impulse and momentum for a particle • Study the conservation of linear momentum for particles • Analyze the mechanics of impact • Introduce the concept of angular impulse and momentum • Solve problems involving steady fluid streams and propulsion with variable mass W. Wang Lecture 10 • Kinetics of a particle: Impulse and Momentum (Chapter 15) - 15.1-15.3 W. Wang Material covered • Kinetics of a particle: Impulse and Momentum - Principle of linear impulse and momentum - Principle of linear impulse and momentum for a system of particles - Conservation of linear momentum for a system of particles …Next lecture…Impact W. Wang Today’s Objectives Students should be able to: • Calculate the linear momentum of a particle and linear impulse of a force • Apply the principle of linear impulse and momentum • Apply the principle of linear impulse and momentum to a system of particles • Understand the conditions for conservation of momentum W. Wang Applications 1 A dent in an automotive fender can be removed using an impulse tool, which delivers a force over a very short time interval. How can we determine the magnitude of the linear impulse applied to the fender? Could you analyze a carpenter’s hammer striking a nail in the same fashion? W. Wang Applications 2 Sure! When a stake is struck by a sledgehammer, a large impulsive force is delivered to the stake and drives it into the ground. -
Chapter 3 Dynamics of Rigid Body Systems
Rigid Body Dynamics Algorithms Roy Featherstone Rigid Body Dynamics Algorithms Roy Featherstone The Austrailian National University Canberra, ACT Austrailia Library of Congress Control Number: 2007936980 ISBN 978-0-387-74314-1 ISBN 978-1-4899-7560-7 (eBook) Printed on acid-free paper. @ 2008 Springer Science+Business Media, LLC All rights reserved. This work may not be translated or copied in whole or in part without the written permission of the publisher (Springer Science+Business Media, LLC, 233 Spring Street, New York, NY 10013, USA), except for brief excerpts in connection with reviews or scholarly analysis. Use in connection with any form of information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed is forbidden. The use in this publication of trade names, trademarks, service marks and similar terms, even if they are not identified as such, is not to be taken as an expression of opinion as to whether or not they are subject to proprietary rights. 9 8 7 6 5 4 3 2 1 springer.com Preface The purpose of this book is to present a substantial collection of the most efficient algorithms for calculating rigid-body dynamics, and to explain them in enough detail that the reader can understand how they work, and how to adapt them (or create new algorithms) to suit the reader’s needs. The collection includes the following well-known algorithms: the recursive Newton-Euler algo- rithm, the composite-rigid-body algorithm and the articulated-body algorithm. It also includes algorithms for kinematic loops and floating bases. -
21. Orthonormal Bases
21. Orthonormal Bases The canonical/standard basis 011 001 001 B C B C B C B0C B1C B0C e1 = B.C ; e2 = B.C ; : : : ; en = B.C B.C B.C B.C @.A @.A @.A 0 0 1 has many useful properties. • Each of the standard basis vectors has unit length: q p T jjeijj = ei ei = ei ei = 1: • The standard basis vectors are orthogonal (in other words, at right angles or perpendicular). T ei ej = ei ej = 0 when i 6= j This is summarized by ( 1 i = j eT e = δ = ; i j ij 0 i 6= j where δij is the Kronecker delta. Notice that the Kronecker delta gives the entries of the identity matrix. Given column vectors v and w, we have seen that the dot product v w is the same as the matrix multiplication vT w. This is the inner product on n T R . We can also form the outer product vw , which gives a square matrix. 1 The outer product on the standard basis vectors is interesting. Set T Π1 = e1e1 011 B C B0C = B.C 1 0 ::: 0 B.C @.A 0 01 0 ::: 01 B C B0 0 ::: 0C = B. .C B. .C @. .A 0 0 ::: 0 . T Πn = enen 001 B C B0C = B.C 0 0 ::: 1 B.C @.A 1 00 0 ::: 01 B C B0 0 ::: 0C = B. .C B. .C @. .A 0 0 ::: 1 In short, Πi is the diagonal square matrix with a 1 in the ith diagonal position and zeros everywhere else. -
The Rolling Ball Problem on the Sphere
S˜ao Paulo Journal of Mathematical Sciences 6, 2 (2012), 145–154 The rolling ball problem on the sphere Laura M. O. Biscolla Universidade Paulista Rua Dr. Bacelar, 1212, CEP 04026–002 S˜aoPaulo, Brasil Universidade S˜aoJudas Tadeu Rua Taquari, 546, CEP 03166–000, S˜aoPaulo, Brasil E-mail address: [email protected] Jaume Llibre Departament de Matem`atiques, Universitat Aut`onomade Barcelona 08193 Bellaterra, Barcelona, Catalonia, Spain E-mail address: [email protected] Waldyr M. Oliva CAMGSD, LARSYS, Instituto Superior T´ecnico, UTL Av. Rovisco Pais, 1049–0011, Lisbon, Portugal Departamento de Matem´atica Aplicada Instituto de Matem´atica e Estat´ıstica, USP Rua do Mat˜ao,1010–CEP 05508–900, S˜aoPaulo, Brasil E-mail address: [email protected] Dedicated to Lu´ıs Magalh˜aes and Carlos Rocha on the occasion of their 60th birthdays Abstract. By a sequence of rolling motions without slipping or twist- ing along arcs of great circles outside the surface of a sphere of radius R, a spherical ball of unit radius has to be transferred from an initial state to an arbitrary final state taking into account the orientation of the ball. Assuming R > 1 we provide a new and shorter prove of the result of Frenkel and Garcia in [4] that with at most 4 moves we can go from a given initial state to an arbitrary final state. Important cases such as the so called elimination of the spin discrepancy are done with 3 moves only. 1991 Mathematics Subject Classification. Primary 58E25, 93B27. Key words: Control theory, rolling ball problem. -
Generic Properties of Symmetric Tensors
2006 – 1/48 – P.Comon Generic properties of Symmetric Tensors Pierre COMON I3S - CNRS other contributors: Bernard MOURRAIN INRIA institute Lek-Heng LIM, Stanford University I3S 2006 – 2/48 – P.Comon Tensors & Arrays Definitions Table T = {Tij..k} Order d of T def= # of its ways = # of its indices def Dimension n` = range of the `th index T is Square when all dimensions n` = n are equal T is Symmetric when it is square and when its entries do not change by any permutation of indices I3S 2006 – 3/48 – P.Comon Tensors & Arrays Properties Outer (tensor) product C = A ◦ B: Cij..` ab..c = Aij..` Bab..c Example 1 outer product between 2 vectors: u ◦ v = u vT Multilinearity. An order-3 tensor T is transformed by the multi-linear map {A, B, C} into a tensor T 0: 0 X Tijk = AiaBjbCkcTabc abc Similarly: at any order d. I3S 2006 – 4/48 – P.Comon Tensors & Arrays Example Example 2 Take 1 v = −1 Then 1 −1 −1 1 v◦3 = −1 1 1 −1 This is a “rank-1” symmetric tensor I3S 2006 – 5/48 – P.Comon Usefulness of symmetric arrays CanD/PARAFAC vs ICA .. .. .. ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... CanD/PARAFAC: = + ... + . ... ... ... ... ... ... ... ... I3S 2006 – 6/48 – P.Comon Usefulness of symmetric arrays CanD/PARAFAC vs ICA .. .. .. ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... CanD/PARAFAC: = + ... + . ... ... ... ... ... ... ... ... PARAFAC cannot be used when: • Lack of diversity I3S 2006 – 7/48 – P.Comon Usefulness of symmetric arrays CanD/PARAFAC vs ICA .. .. .. ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... CanD/PARAFAC: = + ... + . ... ... ... ... ... ... ... ... PARAFAC cannot be used when: • Lack of diversity • Proportional slices I3S 2006 – 8/48 – P.Comon Usefulness of symmetric arrays CanD/PARAFAC vs ICA . -
Multivector Differentiation and Linear Algebra 0.5Cm 17Th Santaló
Multivector differentiation and Linear Algebra 17th Santalo´ Summer School 2016, Santander Joan Lasenby Signal Processing Group, Engineering Department, Cambridge, UK and Trinity College Cambridge [email protected], www-sigproc.eng.cam.ac.uk/ s jl 23 August 2016 1 / 78 Examples of differentiation wrt multivectors. Linear Algebra: matrices and tensors as linear functions mapping between elements of the algebra. Functional Differentiation: very briefly... Summary Overview The Multivector Derivative. 2 / 78 Linear Algebra: matrices and tensors as linear functions mapping between elements of the algebra. Functional Differentiation: very briefly... Summary Overview The Multivector Derivative. Examples of differentiation wrt multivectors. 3 / 78 Functional Differentiation: very briefly... Summary Overview The Multivector Derivative. Examples of differentiation wrt multivectors. Linear Algebra: matrices and tensors as linear functions mapping between elements of the algebra. 4 / 78 Summary Overview The Multivector Derivative. Examples of differentiation wrt multivectors. Linear Algebra: matrices and tensors as linear functions mapping between elements of the algebra. Functional Differentiation: very briefly... 5 / 78 Overview The Multivector Derivative. Examples of differentiation wrt multivectors. Linear Algebra: matrices and tensors as linear functions mapping between elements of the algebra. Functional Differentiation: very briefly... Summary 6 / 78 We now want to generalise this idea to enable us to find the derivative of F(X), in the A ‘direction’ – where X is a general mixed grade multivector (so F(X) is a general multivector valued function of X). Let us use ∗ to denote taking the scalar part, ie P ∗ Q ≡ hPQi. Then, provided A has same grades as X, it makes sense to define: F(X + tA) − F(X) A ∗ ¶XF(X) = lim t!0 t The Multivector Derivative Recall our definition of the directional derivative in the a direction F(x + ea) − F(x) a·r F(x) = lim e!0 e 7 / 78 Let us use ∗ to denote taking the scalar part, ie P ∗ Q ≡ hPQi. -
Impact Dynamics of Newtonian and Non-Newtonian Fluid Droplets on Super Hydrophobic Substrate
IMPACT DYNAMICS OF NEWTONIAN AND NON-NEWTONIAN FLUID DROPLETS ON SUPER HYDROPHOBIC SUBSTRATE A Thesis Presented By Yingjie Li to The Department of Mechanical and Industrial Engineering in partial fulfillment of the requirements for the degree of Master of Science in the field of Mechanical Engineering Northeastern University Boston, Massachusetts December 2016 Copyright (©) 2016 by Yingjie Li All rights reserved. Reproduction in whole or in part in any form requires the prior written permission of Yingjie Li or designated representatives. ACKNOWLEDGEMENTS I hereby would like to appreciate my advisors Professors Kai-tak Wan and Mohammad E. Taslim for their support, guidance and encouragement throughout the process of the research. In addition, I want to thank Mr. Xiao Huang for his generous help and continued advices for my thesis and experiments. Thanks also go to Mr. Scott Julien and Mr, Kaizhen Zhang for their invaluable discussions and suggestions for this work. Last but not least, I want to thank my parents for supporting my life from China. Without their love, I am not able to complete my thesis. TABLE OF CONTENTS DROPLETS OF NEWTONIAN AND NON-NEWTONIAN FLUIDS IMPACTING SUPER HYDROPHBIC SURFACE .......................................................................... i ACKNOWLEDGEMENTS ...................................................................................... iii 1. INTRODUCTION .................................................................................................. 9 1.1 Motivation ........................................................................................................ -
Post-Newtonian Approximation
Post-Newtonian gravity and gravitational-wave astronomy Polarization waveforms in the SSB reference frame Relativistic binary systems Effective one-body formalism Post-Newtonian Approximation Piotr Jaranowski Faculty of Physcis, University of Bia lystok,Poland 01.07.2013 P. Jaranowski School of Gravitational Waves, 01{05.07.2013, Warsaw Post-Newtonian gravity and gravitational-wave astronomy Polarization waveforms in the SSB reference frame Relativistic binary systems Effective one-body formalism 1 Post-Newtonian gravity and gravitational-wave astronomy 2 Polarization waveforms in the SSB reference frame 3 Relativistic binary systems Leading-order waveforms (Newtonian binary dynamics) Leading-order waveforms without radiation-reaction effects Leading-order waveforms with radiation-reaction effects Post-Newtonian corrections Post-Newtonian spin-dependent effects 4 Effective one-body formalism EOB-improved 3PN-accurate Hamiltonian Usage of Pad´eapproximants EOB flexibility parameters P. Jaranowski School of Gravitational Waves, 01{05.07.2013, Warsaw Post-Newtonian gravity and gravitational-wave astronomy Polarization waveforms in the SSB reference frame Relativistic binary systems Effective one-body formalism 1 Post-Newtonian gravity and gravitational-wave astronomy 2 Polarization waveforms in the SSB reference frame 3 Relativistic binary systems Leading-order waveforms (Newtonian binary dynamics) Leading-order waveforms without radiation-reaction effects Leading-order waveforms with radiation-reaction effects Post-Newtonian corrections Post-Newtonian spin-dependent effects 4 Effective one-body formalism EOB-improved 3PN-accurate Hamiltonian Usage of Pad´eapproximants EOB flexibility parameters P. Jaranowski School of Gravitational Waves, 01{05.07.2013, Warsaw Relativistic binary systems exist in nature, they comprise compact objects: neutron stars or black holes. These systems emit gravitational waves, which experimenters try to detect within the LIGO/VIRGO/GEO600 projects. -
Parallel Spinors and Connections with Skew-Symmetric Torsion in String Theory*
ASIAN J. MATH. © 2002 International Press Vol. 6, No. 2, pp. 303-336, June 2002 005 PARALLEL SPINORS AND CONNECTIONS WITH SKEW-SYMMETRIC TORSION IN STRING THEORY* THOMAS FRIEDRICHt AND STEFAN IVANOV* Abstract. We describe all almost contact metric, almost hermitian and G2-structures admitting a connection with totally skew-symmetric torsion tensor, and prove that there exists at most one such connection. We investigate its torsion form, its Ricci tensor, the Dirac operator and the V- parallel spinors. In particular, we obtain partial solutions of the type // string equations in dimension n = 5, 6 and 7. 1. Introduction. Linear connections preserving a Riemannian metric with totally skew-symmetric torsion recently became a subject of interest in theoretical and mathematical physics. For example, the target space of supersymmetric sigma models with Wess-Zumino term carries a geometry of a metric connection with skew-symmetric torsion [23, 34, 35] (see also [42] and references therein). In supergravity theories, the geometry of the moduli space of a class of black holes is carried out by a metric connection with skew-symmetric torsion [27]. The geometry of NS-5 brane solutions of type II supergravity theories is generated by a metric connection with skew-symmetric torsion [44, 45, 43]. The existence of parallel spinors with respect to a metric connection with skew-symmetric torsion on a Riemannian spin manifold is of importance in string theory, since they are associated with some string solitons (BPS solitons) [43]. Supergravity solutions that preserve some of the supersymmetry of the underlying theory have found many applications in the exploration of perturbative and non-perturbative properties of string theory. -
Matrices and Tensors
APPENDIX MATRICES AND TENSORS A.1. INTRODUCTION AND RATIONALE The purpose of this appendix is to present the notation and most of the mathematical tech- niques that are used in the body of the text. The audience is assumed to have been through sev- eral years of college-level mathematics, which included the differential and integral calculus, differential equations, functions of several variables, partial derivatives, and an introduction to linear algebra. Matrices are reviewed briefly, and determinants, vectors, and tensors of order two are described. The application of this linear algebra to material that appears in under- graduate engineering courses on mechanics is illustrated by discussions of concepts like the area and mass moments of inertia, Mohr’s circles, and the vector cross and triple scalar prod- ucts. The notation, as far as possible, will be a matrix notation that is easily entered into exist- ing symbolic computational programs like Maple, Mathematica, Matlab, and Mathcad. The desire to represent the components of three-dimensional fourth-order tensors that appear in anisotropic elasticity as the components of six-dimensional second-order tensors and thus rep- resent these components in matrices of tensor components in six dimensions leads to the non- traditional part of this appendix. This is also one of the nontraditional aspects in the text of the book, but a minor one. This is described in §A.11, along with the rationale for this approach. A.2. DEFINITION OF SQUARE, COLUMN, AND ROW MATRICES An r-by-c matrix, M, is a rectangular array of numbers consisting of r rows and c columns: ¯MM..