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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. -
Analytical Mechanics
A Guided Tour of Analytical Mechanics with animations in MAPLE Rouben Rostamian Department of Mathematics and Statistics UMBC [email protected] December 2, 2018 ii Contents Preface vii 1 An introduction through examples 1 1.1 ThesimplependulumàlaNewton ...................... 1 1.2 ThesimplependulumàlaEuler ....................... 3 1.3 ThesimplependulumàlaLagrange.. .. .. ... .. .. ... .. .. .. 3 1.4 Thedoublependulum .............................. 4 Exercises .......................................... .. 6 2 Work and potential energy 9 Exercises .......................................... .. 12 3 A single particle in a conservative force field 13 3.1 The principle of conservation of energy . ..... 13 3.2 Thescalarcase ................................... 14 3.3 Stability....................................... 16 3.4 Thephaseportraitofasimplependulum . ... 16 Exercises .......................................... .. 17 4 TheKapitsa pendulum 19 4.1 Theinvertedpendulum ............................. 19 4.2 Averaging out the fast oscillations . ...... 19 4.3 Stabilityanalysis ............................... ... 22 Exercises .......................................... .. 23 5 Lagrangian mechanics 25 5.1 Newtonianmechanics .............................. 25 5.2 Holonomicconstraints............................ .. 26 5.3 Generalizedcoordinates .......................... ... 29 5.4 Virtual displacements, virtual work, and generalized force....... 30 5.5 External versus reaction forces . ..... 32 5.6 The equations of motion for a holonomic system . ... -
Lagrangian Mechanics - Wikipedia, the Free Encyclopedia Page 1 of 11
Lagrangian mechanics - Wikipedia, the free encyclopedia Page 1 of 11 Lagrangian mechanics From Wikipedia, the free encyclopedia Lagrangian mechanics is a re-formulation of classical mechanics that combines Classical mechanics conservation of momentum with conservation of energy. It was introduced by the French mathematician Joseph-Louis Lagrange in 1788. Newton's Second Law In Lagrangian mechanics, the trajectory of a system of particles is derived by solving History of classical mechanics · the Lagrange equations in one of two forms, either the Lagrange equations of the Timeline of classical mechanics [1] first kind , which treat constraints explicitly as extra equations, often using Branches [2][3] Lagrange multipliers; or the Lagrange equations of the second kind , which Statics · Dynamics / Kinetics · Kinematics · [1] incorporate the constraints directly by judicious choice of generalized coordinates. Applied mechanics · Celestial mechanics · [4] The fundamental lemma of the calculus of variations shows that solving the Continuum mechanics · Lagrange equations is equivalent to finding the path for which the action functional is Statistical mechanics stationary, a quantity that is the integral of the Lagrangian over time. Formulations The use of generalized coordinates may considerably simplify a system's analysis. Newtonian mechanics (Vectorial For example, consider a small frictionless bead traveling in a groove. If one is tracking the bead as a particle, calculation of the motion of the bead using Newtonian mechanics) mechanics would require solving for the time-varying constraint force required to Analytical mechanics: keep the bead in the groove. For the same problem using Lagrangian mechanics, one Lagrangian mechanics looks at the path of the groove and chooses a set of independent generalized Hamiltonian mechanics coordinates that completely characterize the possible motion of the bead. -
Lecture Notes for PC2132 (Classical Mechanics)
Version: 27th Sept, 2017 11:27; svn-64 Lecture notes for PC2132 (Classical Mechanics) For AY2017/18, Semester 1 Lecturer: Christian Kurtsiefer, Tutors: Adrian Nugraha Utama, Shi Yicheng, Jiaan Qi, Tan Zong Sheng Disclaimer These notes are by no means a suitable replacement for a proper textbook on classical mechanics, nor should it replace your own notes. It is just a best-effort affair with the intention to be useful. This is a document in process – it hopefully does not contain too many mis- takes, but please contact us if you feel that you spotted one. 1 Version: 27th Sept, 2017 11:27; svn-64 Notation There is an attempt to do use consistent notations through this lecture. Below is a list what symbols typically refer to, unless they are referenced to otherwise. a a vector; often the acceleration e a unit vector, i.e., a vector of length 1 (e e = 1) dA a vector differential representing an oriented· surface area element ds a vector differential representing a line element F a vector representing a force H a scalar representing the Hamilton function of a system I the tensor for the inertia of a rigid body L a scalar representing the Lagrange function L a vector representing an angular momentum N a vector representing a torque m a scalar representing the mass of a particle m mass matrix in a system of coupled masses M the total mass of a system p a vector representing the momentum mv of a particle P a vector representing the total momentum of a system qk a generalized coordinate Q the “quality factor” of a damped harmonic oscillator r (or -
Chapter 2 Lagrange's and Hamilton's Equations
Chapter 2 Lagrange’s and Hamilton’s Equations In this chapter, we consider two reformulations of Newtonian mechanics, the Lagrangian and the Hamiltonian formalism. The first is naturally associated with configuration space, extended by time, while the latter is the natural description for working in phase space. Lagrange developed his approach in 1764 in a study of the libration of the moon, but it is best thought of as a general method of treating dynamics in terms of generalized coordinates for configuration space. It so transcends its origin that the Lagrangian is considered the fundamental object which describes a quantum field theory. Hamilton’s approach arose in 1835 in his unification of the language of optics and mechanics. It too had a usefulness far beyond its origin, and the Hamiltonian is now most familiar as the operator in quantum mechanics which determines the evolution in time of the wave function. We begin by deriving Lagrange’s equation as a simple change of coordi- nates in an unconstrained system, one which is evolving according to New- ton’s laws with force laws given by some potential. Lagrangian mechanics is also and especially useful in the presence of constraints, so we will then extend the formalism to this more general situation. 35 36 CHAPTER 2. LAGRANGE’S AND HAMILTON’S EQUATIONS 2.1 Lagrangian for unconstrained systems For a collection of particles with conservative forces described by a potential, we have in inertial cartesian coordinates mx¨i = Fi. The left hand side of this equation is determined by the kinetic energy func- tion as the time derivative of the momentum pi = ∂T/∂x˙ i, while the right hand side is a derivative of the potential energy, ∂U/∂x .AsT is indepen- − i dent of xi and U is independent ofx ˙ i in these coordinates, we can write both sides in terms of the Lagrangian L = T U, which is then a function of both the coordinates and their velocities. -
DUALITY SYSTEM in APPLIED MECHANICS and OPTIMAL CONTROL Advances in Mechanics and Mathematics
DUALITY SYSTEM IN APPLIED MECHANICS AND OPTIMAL CONTROL Advances in Mechanics and Mathematics Volume 5 Series Editors: David Y. Gao Virginia Polytechnic Institute and State University, U.S.A. Ray W. Ogden University of Glasgow, U.K. Advisory Editors: I. Ekeland University of British Columbia, Canada K.R. Rajagopal Texas A&M University, U.S.A. W. Yang Tsinghua University, P.R. China DUALITY SYSTEM IN APPLIED MECHANICS AND OPTIMAL CONTROL by Wan-Xie Zhong Dalian University of Technology KLUWER ACADEMIC PUBLISHERS NEW YORK, BOSTON, DORDRECHT, LONDON, MOSCOW eBook ISBN: 1-4020-7881-1 Print ISBN: 1-4020-7880-3 ©2004 Kluwer Academic Publishers New York, Boston, Dordrecht, London, Moscow Print ©2004 Kluwer Academic Publishers Boston All rights reserved No part of this eBook may be reproduced or transmitted in any form or by any means, electronic, mechanical, recording, or otherwise, without written consent from the Publisher Created in the United States of America Visit Kluwer Online at: http://kluweronline.com and Kluwer's eBookstore at: http://ebooks.kluweronline.com Contents v Preface xi Introduction 1 0.1, Introduction to Precise Integration method 4 0.1.1, Homogeneous equation, algorithm for exponential matrix. 4 0.1.2, Solution of inhomogeneous equation 6 0.1.3, Precision analysis 7 0.1.4, Discussions on time-variant system or non-linear system 9 Chapter 1, Introduction to analytical dynamics 11 1.1, Holonomic and nonholonomic constraints 11 1.2, Generalized displacement, degrees of freedom and virtual displacement 14 1.3, Principle of -
Solid Mechanics at Harvard University
SOLID MECHANICS James R. Rice School of Engineering and Applied Sciences, and Department of Earth and Planetary Sciences Harvard University, Cambridge, MA 02138 USA Original version: October 1994 This revision: February 2010 Downloadable at: http://esag.harvard.edu/rice/e0_Solid_Mechanics_94_10.pdf TABLE OF CONTENTS provided on last three pages, pp. 87-89 INTRODUCTION The application of the principles of mechanics to bulk matter is conventionally divided into the mechanics of fluids and the mechanics of solids. The entire subject is often called continuum mechanics, particularly when we adopt the useful model of matter as being continuously divisible, making no reference to its discrete structure at microscopic length scales well below those of the application or phenomenon of interest. Solid mechanics is concerned with the stressing, deformation and failure of solid materials and structures. What, then, is a solid? Any material, fluid or solid, can support normal forces. These are forces directed perpendicular, or normal, to a material plane across which they act. The force per unit of area of that plane is called the normal stress. Water at the base of a pond, air in an automobile tire, the stones of a Roman arch, rocks at base of a mountain, the skin of a pressurized airplane cabin, a stretched rubber band and the bones of a runner all support force in that way (some only when the force is compressive). We call a material solid rather than fluid if it can also support a substantial shearing force over the time scale of some natural process or technological application of interest. -
Singular Mass Matrix and Redundant Constraints in Unilaterally Constrained Lagrangian and Hamiltonian Systems Bernard Brogliato, Daniel Goeleven
Singular mass matrix and redundant constraints in unilaterally constrained Lagrangian and Hamiltonian systems Bernard Brogliato, Daniel Goeleven To cite this version: Bernard Brogliato, Daniel Goeleven. Singular mass matrix and redundant constraints in unilaterally constrained Lagrangian and Hamiltonian systems. Multibody System Dynamics, Springer Verlag, 2015, 35 (1), pp.39-61. 10.1007/s11044-014-9437-4. hal-01088286 HAL Id: hal-01088286 https://hal.inria.fr/hal-01088286 Submitted on 29 Oct 2017 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Singular mass matrix and redundant constraints in unilaterally constrained Lagrangian and Hamiltonian systems Bernard Brogliato · Daniel Goeleven Abstract This article deals with the analysis of the contact complementarity problem for Lagrangian systems subjected to unilateral constraints, and with a singular mass matrix and redundant constraints. Previous results by the authors on existence and uniqueness of solu- tions of some classes of variational inequalities are used to characterize the well-posedness of the contact problem. Criteria involving conditions on the tangent cone and the constraints gradient are given. It is shown that the proposed criteria easily extend to the case where the system is also subjected to a set of bilateral holonomic constraints, in addition to the unilat- eral ones. -
Introduction to Analytical Mechanics
Introduction to Analytical Mechanics Lagrange’s Equations Siamak G. Faal 1/1 07/29/2016 1 Rigid body dynamics Dynamic equations: • Provide a relation between forces and system accelerations • Explain rigid body motion and trajectories Image sources (left to right): https://www.etsy.com/listing/96803935/funnel-shaped-spinning-top-natural-wood https://spaceflightnow.com/2016/06/30/juno-switched-to-autopilot-mode-for-jupiter-final-approach/ https://upload.wikimedia.org/wikipedia/commons/d/d8/NASA_Mars_Rover.jpg 2 http://www.popularmechanics.com/cars/a14665/why-car-suspensions-are-better-than-ever/ Kinematics vs Kinetics Kinematics Kinetics Focuses on pure motion of Relationship between the particles and bodies (without motion of bodies and forces considering masses and and torques forces) Image sources (left to right): https://www.youtube.com/watch?v=PAHjo4DXOjc 3 http://www.timelinecoverbanner.com/facebook-covers/billiard.jpg Dynamic Forces and Reactions Dynamic analysis are essential to determine reaction forces that are cussed by dynamic forces (e.g. Accelerations) Image sources (left to right): http://r.hswstatic.com/w_404/gif/worlds-greatest-roller-coasters-149508746.jpg http://www.murraymitchell.com/wp-content/uploads/2011/04/red_aircraft_performing_aerobatics.jpg 4 Differential Equations of Motion provide a set of differential equations which allow modeling, simulation and control of dynamic mechanical systems Why humanoid robots do not walk or act like humans !? 5 Background Information 6 Notations Throughout this presentation: Parameters -
Simple Harmonic Motion Coupled Oscillators Eigenvalue Problem
Coupled Oscillators Concepts of primary interest: Simple Harmonic Motion Coupled Oscillators Eigenvalue problem Developing the equations of Motion: Intuitive Newton’s Law Method Lagrangian Mechanics Hamiltonian Mechanics Work-Energy for Mechanical Engineers Sample calculations: A matched equal mass pair of coupled oscillator – with variable coupling An oscillator pair with unequal masses Initial condition matching for near degenerate modes Comparison of two choices for generalized coordinates Applications Tools of the Trade Cramer’s Rule Coupled Differential Equation Principles Underlying the Coupled Oscillator Procedures Engineers can use this handout by replacing -2 by . A brief discussion of forced couple oscillations will be added. dd example with damping The Plan: A system of coupled linear oscillators is to be studied. To anchor the discussion, the solution to the single simple harmonic oscillator is reviewed. Next a system of two masses coupled by a linear spring is analyzed by guessing the solution. The result is a pair of two-particle sinusoidal oscillation patterns each with its characteristic frequency. More general systems are analyzed by assuming that sinusoidal solution modes exist and applying a diagonalization approach to identify them. The method can be made more formal by noting that it is a particular example of the matrix solution to systems of coupled linear differential equations. At several points, physical interpretations of results are presented that enhance our confidence in the procedure. Contact: [email protected] Just the single simple harmonic oscillator: The motion of a mass about its equilibrium position while subject to a linear restoring force is well- studied. The model equation is: ma mx kx where x is measured relative to the equilibrium position. -
A Simple Treatment of Constraint Forces and Constraint Moments in the Dynamics of Rigid Bodies
ASME Applied Mechanics Reviews http://dx.doi.org/10.1115/1.4028099 This paper appeared in Vol.67(1), 014801, 2015. (Online: Aug 25, 2014) (8 pages) A Simple Treatment of Constraint Forces and Constraint Moments in the Dynamics of Rigid Bodies Oliver M. O’Reilly · Arun R. Srinivasa November 6, 2014 Abstract In this expository article, a simple concise a set of 3-1-3 Euler angles ψ,θ, and φ, and the vertical treatment of Lagrange’s prescription for constraint forces coordinate zP of the point of contact XP . The coordi- and constraint moments in the dynamics of rigid bodies nate zP is related to the vertical coordinate z of the is presented. The treatment is suited to both Newton- center of mass by the simple relation Euler and Lagrangian treatments of rigid body dynam- 6 ics and is illuminated with a range of examples from q = zP = z − R sin(θ). (1) classical mechanics and orthopedic biomechanics. After choosing the coordinate system, we can calculate Keywords Lagrange’s equations · Constraints · the kinetic T and potential U energies of the disk. For 6 Constraints forces · Constraint moments the disk in motion on the plane, the coordinate q is constrained to be zero. As a result, the equations of motion have a Lagrange multiplier λ on the right hand 1 Introduction side: d ∂T ∂T ∂U − + = ΦΓ , (Γ =1,..., 6) , (2) Consider formulating the equations of motion for the dt ∂q˙Γ ∂qΓ ∂qΓ classical problem of a thin circular disk shown in Fig- ure 1 that is sliding with a point XP in contact with a where the generalized constraint force is smooth horizontal surface. -
A Contribution on Modeling Methodologies for Multibody Systems
RENATO MAIA MATARAZZO ORSINO A CONTRIBUTION ON MODELING METHODOLOGIES FOR MULTIBODY SYSTEMS Tese apresentada à Escola Politécnica da Universidade de São Paulo para obtenção do Título de Doutor em Engenharia Mecânica. São Paulo 2016 RENATO MAIA MATARAZZO ORSINO A CONTRIBUTION ON MODELING METHODOLOGIES FOR MULTIBODY SYSTEMS Tese apresentada à Escola Politécnica da Universidade de São Paulo para obtenção do Título de Doutor em Engenharia Mecânica. Área de concentração: Engenharia Mecânica Orientador: Prof. Dr. Tarcisio Antonio Hess Coelho São Paulo 2016 Este exemplar foi revisado e corrigido em relação à versão original, sob responsabilidade única do autor e com a anuência de seu orientador. São Paulo, ______ de ____________________ de __________ Assinatura do autor: ________________________ Assinatura do orientador: ________________________ Catalogação-na-publicação Orsino, Renato Maia Matarazzo A contribution on modeling methodologies for multibody systems / R. M. M. Orsino -- versão corr. -- São Paulo, 2016. 213 p. Tese (Doutorado) - Escola Politécnica da Universidade de São Paulo. Departamento de Engenharia Mecânica. 1.Dinâmica 2.Cinemática 3.Mecanismos I.Universidade de São Paulo. Escola Politécnica. Departamento de Engenharia Mecânica II.t. Acknowledgements I would like to acknowledge everyone who supported, advised and encou- raged me during the last 4 years, since I begun this long journey towards my PhD degree. Professors, family, friends, colleagues, staff (both from University of São Paulo and TU Delft), thank you all! A second acknowledgment to CNPq – Conselho Nacional de Desen- volvimento Científico e Tecnológico, of the Ministry of Science, Technology and Innovation of Brazil for sponsoring this research (processes numbers 163026/2012-2 and 203112/2014-8). I would like to dedicate the remaining of this section for some special ack- nowledgements.