Lecture Note 12: Dynamics of Open Chains: Lagrangian Formulation

Size: px
Start display at page:

Download "Lecture Note 12: Dynamics of Open Chains: Lagrangian Formulation"

Transcription

1 ECE5463: Introduction to Robotics Lecture Note 12: Dynamics of Open Chains: Lagrangian Formulation Prof. Wei Zhang Department of Electrical and Computer Engineering Ohio State University Columbus, Ohio, USA Spring 2018 Lecture 12 (ECE5463 Sp18) Wei Zhang(OSU) 1 / 20

2 Outline Introduction Euler-Lagrange Equations Lagrangian Formulation of Open-Chain Dynamics Outline Lecture 12 (ECE5463 Sp18) Wei Zhang(OSU) 2 / 20

3 From Single Rigid Body to Open Chains Recall Newton-Euler Equation for a single rigid body: F b = G b Vb [ad Vb ] T (G b V b ) Open chains consist of multiple rigid links connected through joints Dynamics of adjacent links are coupled. We are concerned with modeling multi-body dynamics subject to constraints. Introduction Lecture 12 (ECE5463 Sp18) Wei Zhang(OSU) 3 / 20

4 Preview of Open-Chain Dynamics Equations of Motion are a set of 2nd-order differential equations: τ = M(θ) θ + h(θ, θ) - θ R n : vector of joint variables; τ R n : vector of joint forces/torques - M(θ) R n n : mass matrix - h(θ, θ) R n : forces that lump together centripetal, Coriolis, gravity, and friction terms that depend on θ and θ Forward dynamics: Determine acceleration θ given the state (θ, θ) and the joint forces/torques: θ = M 1 (θ)(τ h(θ, θ)) Inverse dynamics: Finding torques/forces given state (θ, θ) and desired acceleration θ τ = M(θ) θ + h(θ, θ) Introduction Lecture 12 (ECE5463 Sp18) Wei Zhang(OSU) 4 / 20

5 Lagrangian vs. Newton-Euler Methods There are typically two ways to derive the equation of motion for an open-chain robot: Lagrangian method and Newton-Euler method Lagrangian Formulation - Energy-based method - Dynamic equations in closed form - Often used for study of dynamic properties and analysis of control methods Newton-Euler Formulation - Balance of forces/torques - Dynamic equations in numeric/recursive form - Often used for numerical solution of forward/inverse dynamics Introduction Lecture 12 (ECE5463 Sp18) Wei Zhang(OSU) 5 / 20

6 Outline Introduction Euler-Lagrange Equations Lagrangian Formulation of Open-Chain Dynamics Euler-Lagrange Equations Lecture 12 (ECE5463 Sp18) Wei Zhang(OSU) 6 / 20

7 Generalized Coordinates and Forces Consider k particles. Let f i be the force acting on the ith particle, m i be its mass, p i be its position. Newton s law: f i = m i p i, i =1,...k Now consider the case in which some particles are rigidly connected, imposing constraints on their positions α j (p 1,...,p k )=0, j =1,...,n c k particles in R 3 under n c constraints 3k n c degree of freedom Dynamics of this constrained k-particle system can be represented by n 3k n c independent variables q i s, called the generalized coordinates { { α j (p 1,...,p k )=0 p i = γ i (q 1,...,q n ) j =1,...,n c i =1,...,k Euler-Lagrange Equations Lecture 12 (ECE5463 Sp18) Wei Zhang(OSU) 7 / 20

8 Generalized Coordinates and Forces To describe equation of motion in terms of generalized coordinates, we also need to express external forces applied to the system in terms components along generalized coordinates. These forces are called generalized forces. Generalized force f i and coordinate rate q i are dual to each other in the sense that f T q corresponds to power The equation of motion of the k-particle system can thus be described in terms of 3k n c independent variables instead of the 3k position variables subject to n c constraints. This idea of handling constraints can be extended to interconnected rigid bodies (open chains). Euler-Lagrange Equations Lecture 12 (ECE5463 Sp18) Wei Zhang(OSU) 8 / 20

9 Euler-Lagrange Equation Now let q R n be the generalized coordinates and f R n be the generalized forces of some constrained dynamical system. Lagrangian function: L(q, q) =K(q, q) P(q) - K(q, q): kinetic energy of system - P(q): potential energy Euler-Lagrange Equations: f = d dt L q L q (1) Euler-Lagrange Equations Lecture 12 (ECE5463 Sp18) Wei Zhang(OSU) 9 / 20

10 Example: Spherical Pendulum l θ φ mg Euler-Lagrange Equations Lecture 12 (ECE5463 Sp18) Wei Zhang(OSU) 10 / 20

11 Example: Spherical Pendulum (Continued) Euler-Lagrange Equations Lecture 12 (ECE5463 Sp18) Wei Zhang(OSU) 11 / 20

12 Outline Introduction Euler-Lagrange Equations Lagrangian Formulation of Open-Chain Dynamics Lagrangian Formulation Lecture 12 (ECE5463 Sp18) Wei Zhang(OSU) 12 / 20

13 Lagrangian Formulation of Open Chains For open chains with n joints, it is convenient and always possible to choose the joint angles θ =(θ 1,...,θ n ) and the joint torques τ =(τ 1,...,τ n ) as the generalized coordinates and generalized forces, respectively. - If joint i is revolute: θ i joint angle and τ i is joint torque - If joint i is prismatic: θ i joint position and τ i is joint force Lagrangian function: L(θ, θ) =K(θ, θ) P(θ, θ) Dynamic Equations: τ i = d dt L θ i L θ i To obtain the Lagrangian dynamics, we need to derive the kinetic and potential energies of the robot in terms of joint angles θ and torques τ. Lagrangian Formulation Lecture 12 (ECE5463 Sp18) Wei Zhang(OSU) 13 / 20

14 Some Notations For each link i =1,...,n,Frame{i} is attached to the center of mass of link i. All the following quantities are expressed in frame {i} V i : Twist of link {i} m i : mass; I i : rotational inertia matrix; G i = [ Ii 0 0 m i I ] : Spatial inertia matrix Kinetic energy of link i: K i = 1 2 VT i G i V i J (i) b R 6 i : body Jacobian of link i [ J (i) b = J (i) b,1... J (i) b,i ] where J (i) b,j [Ad = e [B i ]θ i e [B j+1 ]θ B j+1 j, j<iand J (i) b,i = B i ] Lagrangian Formulation Lecture 12 (ECE5463 Sp18) Wei Zhang(OSU) 14 / 20

15 Kinetic and Potential Energies of Open Chains J ib =[J (i) b 0] R 6 n Total Kinetic Energy: K(θ, θ) = 1 2 n i=1 VT i G i V i = 1 2 θ T ( n i=1 ( J T ib (θ)g i J ib (θ) )) θ 1 2 θ T M(θ) θ Potential Energy: P(θ) = n i=1 m igh i (θ) - h i (θ): height of CoM of link i Lagrangian Formulation Lecture 12 (ECE5463 Sp18) Wei Zhang(OSU) 15 / 20

16 Lagrangian Dynamic Equations of Open Chains Lagrangian: L(θ, θ) =K(θ, θ) P(θ) τ i = d dt L θ i L θ i τ i = n M ij (θ) θ j + i=j n n j=1 k=1 Γ ijk (θ) θ j θk + P θ i, i =1,...,n Γ ijk (θ) is called the Christoffel symbols of the first kind Γ ijk (θ) = 1 2 ( Mij θ k + M ik θ j M jk θ i ) Lagrangian Formulation Lecture 12 (ECE5463 Sp18) Wei Zhang(OSU) 16 / 20

17 Lagrangian Dynamic Equations of Open Chains Dynamic equation in vector form: τ = M(θ) θ + C(θ, θ) θ + g(θ) - C ij (θ, θ) n k=1 Γ ijk θ k is called the Coriolis matrix Γ 112 =(I y2 I z2 m 2r 2 1)c 2s 2 +(I y3 I z3)c 23s 23 m 3(l 1c 2 + r 2c 23)(l 1s 2 + r 2s 23) Γ 113 =(I y3 I z3)c 23s 23 m 3r 2s 23(l 1c 2 + r 2c 23) Γ 121 =(I y2 I z2 m 2r 2 1)c 2s 2 +(I y3 I z3)c 23s 23 θ 3 m 3(l 1c 2 + r 2c 23)(l 1s 2 + r 2s 23) θ 1 θ 2 L 1 L 2 L 3 θ 4 M 11 = I y2 s I y3 s I z1 + I z2 c I z3 c m 2 r 2 1c m 3 (l 1 c 2 + r 2 c 23 ) 2 M 12 =0 M 13 =0 M 21 =0 M 22 = I x2 + I x3 + m 3 l1 2 + m 2 r1 2 + m 3 r2 2 +2m 3 l 1 r 2 c 3 Γ 131 =(I y3 I z3)c 23s 23 m 3r 2s 23(l 1c 2 + r 2c 23) Γ 211 =(I z2 I y2 + m 2r1)c 2 2s 2 +(I z3 I y3)c 23s 23 + m 3(l 1c 2 + r 2c 23)(l 1s 2 + r 2s 23) Γ 223 = l 1m 3r 2s 3 L 4 Γ 232 = l 1m 3r 2s 3 x z S y l 0 l 1 l 2 M 23 = I x3 + m 3 r m 3 l 1 r 2 c 3 M 31 =0 M 32 = I x3 + m 3 r2 2 + m 3 l 1 r 2 c 3 M 33 = I x3 + m 3 r 2 2. Γ 233 = l 1m 3r 2s 3 Γ 311 =(I z3 I y3)c 23s 23 + m 3r 2s 23(l 1c 2 + r 2c 23) Γ 322 = l 1m 3r 2s 3 0 (m 2 gr 1 + m 3 gl 1 )cosθ 2 m 3 r 2 cos(θ 2 + θ 3 )) m 3 gr 2 cos(θ 2 + θ 3 )) Lagrangian Formulation Lecture 12 (ECE5463 Sp18) Wei Zhang(OSU) 17 / 20

18 Lagrangian Dynamic Equations of Open Chains Dynamic model of PUMA 560 Arm: Lagrangian Formulation Lecture 12 (ECE5463 Sp18) Wei Zhang(OSU) 18 / 20

19 More Discussions Lagrangian Formulation Lecture 12 (ECE5463 Sp18) Wei Zhang(OSU) 19 / 20

20 More Discussions Lagrangian Formulation Lecture 12 (ECE5463 Sp18) Wei Zhang(OSU) 20 / 20

Lecture Note 12: Dynamics of Open Chains: Lagrangian Formulation

Lecture Note 12: Dynamics of Open Chains: Lagrangian Formulation ECE5463: Introduction to Robotics Lecture Note 12: Dynamics of Open Chains: Lagrangian Formulation Prof. Wei Zhang Department of Electrical and Computer Engineering Ohio State University Columbus, Ohio,

More information

Multibody simulation

Multibody simulation Multibody simulation Dynamics of a multibody system (Newton-Euler formulation) Dimitar Dimitrov Örebro University June 8, 2012 Main points covered Newton-Euler formulation forward dynamics inverse dynamics

More information

Dynamics of Open Chains

Dynamics of Open Chains Chapter 9 Dynamics of Open Chains According to Newton s second law of motion, any change in the velocity of a rigid body is caused by external forces and torques In this chapter we study once again the

More information

Multibody simulation

Multibody simulation Multibody simulation Dynamics of a multibody system (Euler-Lagrange formulation) Dimitar Dimitrov Örebro University June 16, 2012 Main points covered Euler-Lagrange formulation manipulator inertia matrix

More information

Introduction to Robotics

Introduction to Robotics J. Zhang, L. Einig 277 / 307 MIN Faculty Department of Informatics Lecture 8 Jianwei Zhang, Lasse Einig [zhang, einig]@informatik.uni-hamburg.de University of Hamburg Faculty of Mathematics, Informatics

More information

Artificial Intelligence & Neuro Cognitive Systems Fakultät für Informatik. Robot Dynamics. Dr.-Ing. John Nassour J.

Artificial Intelligence & Neuro Cognitive Systems Fakultät für Informatik. Robot Dynamics. Dr.-Ing. John Nassour J. Artificial Intelligence & Neuro Cognitive Systems Fakultät für Informatik Robot Dynamics Dr.-Ing. John Nassour 25.1.218 J.Nassour 1 Introduction Dynamics concerns the motion of bodies Includes Kinematics

More information

In this section of notes, we look at the calculation of forces and torques for a manipulator in two settings:

In this section of notes, we look at the calculation of forces and torques for a manipulator in two settings: Introduction Up to this point we have considered only the kinematics of a manipulator. That is, only the specification of motion without regard to the forces and torques required to cause motion In this

More information

Lecture Note 7: Velocity Kinematics and Jacobian

Lecture Note 7: Velocity Kinematics and Jacobian ECE5463: Introduction to Robotics Lecture Note 7: Velocity Kinematics and Jacobian Prof. Wei Zhang Department of Electrical and Computer Engineering Ohio State University Columbus, Ohio, USA Spring 2018

More information

Robot Dynamics II: Trajectories & Motion

Robot Dynamics II: Trajectories & Motion Robot Dynamics II: Trajectories & Motion Are We There Yet? METR 4202: Advanced Control & Robotics Dr Surya Singh Lecture # 5 August 23, 2013 metr4202@itee.uq.edu.au http://itee.uq.edu.au/~metr4202/ 2013

More information

Lecture Note 7: Velocity Kinematics and Jacobian

Lecture Note 7: Velocity Kinematics and Jacobian ECE5463: Introduction to Robotics Lecture Note 7: Velocity Kinematics and Jacobian Prof. Wei Zhang Department of Electrical and Computer Engineering Ohio State University Columbus, Ohio, USA Spring 2018

More information

Lecture Note 8: Inverse Kinematics

Lecture Note 8: Inverse Kinematics ECE5463: Introduction to Robotics Lecture Note 8: Inverse Kinematics Prof. Wei Zhang Department of Electrical and Computer Engineering Ohio State University Columbus, Ohio, USA Spring 2018 Lecture 8 (ECE5463

More information

Lecture Schedule Week Date Lecture (M: 2:05p-3:50, 50-N202)

Lecture Schedule Week Date Lecture (M: 2:05p-3:50, 50-N202) J = x θ τ = J T F 2018 School of Information Technology and Electrical Engineering at the University of Queensland Lecture Schedule Week Date Lecture (M: 2:05p-3:50, 50-N202) 1 23-Jul Introduction + Representing

More information

DYNAMICS OF SERIAL ROBOTIC MANIPULATORS

DYNAMICS OF SERIAL ROBOTIC MANIPULATORS DYNAMICS OF SERIAL ROBOTIC MANIPULATORS NOMENCLATURE AND BASIC DEFINITION We consider here a mechanical system composed of r rigid bodies and denote: M i 6x6 inertia dyads of the ith body. Wi 6 x 6 angular-velocity

More information

(W: 12:05-1:50, 50-N202)

(W: 12:05-1:50, 50-N202) 2016 School of Information Technology and Electrical Engineering at the University of Queensland Schedule of Events Week Date Lecture (W: 12:05-1:50, 50-N202) 1 27-Jul Introduction 2 Representing Position

More information

Dynamics. Basilio Bona. Semester 1, DAUIN Politecnico di Torino. B. Bona (DAUIN) Dynamics Semester 1, / 18

Dynamics. Basilio Bona. Semester 1, DAUIN Politecnico di Torino. B. Bona (DAUIN) Dynamics Semester 1, / 18 Dynamics Basilio Bona DAUIN Politecnico di Torino Semester 1, 2016-17 B. Bona (DAUIN) Dynamics Semester 1, 2016-17 1 / 18 Dynamics Dynamics studies the relations between the 3D space generalized forces

More information

Dynamics. describe the relationship between the joint actuator torques and the motion of the structure important role for

Dynamics. describe the relationship between the joint actuator torques and the motion of the structure important role for Dynamics describe the relationship between the joint actuator torques and the motion of the structure important role for simulation of motion (test control strategies) analysis of manipulator structures

More information

Video 2.1a Vijay Kumar and Ani Hsieh

Video 2.1a Vijay Kumar and Ani Hsieh Video 2.1a Vijay Kumar and Ani Hsieh Robo3x-1.3 1 Introduction to Lagrangian Mechanics Vijay Kumar and Ani Hsieh University of Pennsylvania Robo3x-1.3 2 Analytical Mechanics Aristotle Galileo Bernoulli

More information

Lecture Note 5: Velocity of a Rigid Body

Lecture Note 5: Velocity of a Rigid Body ECE5463: Introduction to Robotics Lecture Note 5: Velocity of a Rigid Body Prof. Wei Zhang Department of Electrical and Computer Engineering Ohio State University Columbus, Ohio, USA Spring 2018 Lecture

More information

Lecture Note 4: General Rigid Body Motion

Lecture Note 4: General Rigid Body Motion ECE5463: Introduction to Robotics Lecture Note 4: General Rigid Body Motion Prof. Wei Zhang Department of Electrical and Computer Engineering Ohio State University Columbus, Ohio, USA Spring 2018 Lecture

More information

Trajectory-tracking control of a planar 3-RRR parallel manipulator

Trajectory-tracking control of a planar 3-RRR parallel manipulator Trajectory-tracking control of a planar 3-RRR parallel manipulator Chaman Nasa and Sandipan Bandyopadhyay Department of Engineering Design Indian Institute of Technology Madras Chennai, India Abstract

More information

Lecture Note 8: Inverse Kinematics

Lecture Note 8: Inverse Kinematics ECE5463: Introduction to Robotics Lecture Note 8: Inverse Kinematics Prof. Wei Zhang Department of Electrical and Computer Engineering Ohio State University Columbus, Ohio, USA Spring 2018 Lecture 8 (ECE5463

More information

Lecture Note 1: Background

Lecture Note 1: Background ECE5463: Introduction to Robotics Lecture Note 1: Background Prof. Wei Zhang Department of Electrical and Computer Engineering Ohio State University Columbus, Ohio, USA Spring 2018 Lecture 1 (ECE5463 Sp18)

More information

Robotics & Automation. Lecture 25. Dynamics of Constrained Systems, Dynamic Control. John T. Wen. April 26, 2007

Robotics & Automation. Lecture 25. Dynamics of Constrained Systems, Dynamic Control. John T. Wen. April 26, 2007 Robotics & Automation Lecture 25 Dynamics of Constrained Systems, Dynamic Control John T. Wen April 26, 2007 Last Time Order N Forward Dynamics (3-sweep algorithm) Factorization perspective: causal-anticausal

More information

Video 3.1 Vijay Kumar and Ani Hsieh

Video 3.1 Vijay Kumar and Ani Hsieh Video 3.1 Vijay Kumar and Ani Hsieh Robo3x-1.3 1 Dynamics of Robot Arms Vijay Kumar and Ani Hsieh University of Pennsylvania Robo3x-1.3 2 Lagrange s Equation of Motion Lagrangian Kinetic Energy Potential

More information

DYNAMICS OF PARALLEL MANIPULATOR

DYNAMICS OF PARALLEL MANIPULATOR DYNAMICS OF PARALLEL MANIPULATOR The 6nx6n matrices of manipulator mass M and manipulator angular velocity W are introduced below: M = diag M 1, M 2,, M n W = diag (W 1, W 2,, W n ) From this definitions

More information

Dynamics. 1 Copyright c 2015 Roderic Grupen

Dynamics. 1 Copyright c 2015 Roderic Grupen Dynamics The branch of physics that treats the action of force on bodies in motion or at rest; kinetics, kinematics, and statics, collectively. Websters dictionary Outline Conservation of Momentum Inertia

More information

Robotics. Dynamics. Marc Toussaint U Stuttgart

Robotics. Dynamics. Marc Toussaint U Stuttgart Robotics Dynamics 1D point mass, damping & oscillation, PID, dynamics of mechanical systems, Euler-Lagrange equation, Newton-Euler recursion, general robot dynamics, joint space control, reference trajectory

More information

Manipulator Dynamics 2. Instructor: Jacob Rosen Advanced Robotic - MAE 263D - Department of Mechanical & Aerospace Engineering - UCLA

Manipulator Dynamics 2. Instructor: Jacob Rosen Advanced Robotic - MAE 263D - Department of Mechanical & Aerospace Engineering - UCLA Manipulator Dynamics 2 Forward Dynamics Problem Given: Joint torques and links geometry, mass, inertia, friction Compute: Angular acceleration of the links (solve differential equations) Solution Dynamic

More information

Lagrangian Dynamics: Generalized Coordinates and Forces

Lagrangian Dynamics: Generalized Coordinates and Forces Lecture Outline 1 2.003J/1.053J Dynamics and Control I, Spring 2007 Professor Sanjay Sarma 4/2/2007 Lecture 13 Lagrangian Dynamics: Generalized Coordinates and Forces Lecture Outline Solve one problem

More information

ROBOTICS Laboratory Problem 02

ROBOTICS Laboratory Problem 02 ROBOTICS 2015-2016 Laboratory Problem 02 Basilio Bona DAUIN PoliTo Problem formulation The planar system illustrated in Figure 1 consists of a cart C sliding with or without friction along the horizontal

More information

Video 1.1 Vijay Kumar and Ani Hsieh

Video 1.1 Vijay Kumar and Ani Hsieh Video 1.1 Vijay Kumar and Ani Hsieh 1 Robotics: Dynamics and Control Vijay Kumar and Ani Hsieh University of Pennsylvania 2 Why? Robots live in a physical world The physical world is governed by the laws

More information

Robotics & Automation. Lecture 17. Manipulability Ellipsoid, Singularities of Serial Arm. John T. Wen. October 14, 2008

Robotics & Automation. Lecture 17. Manipulability Ellipsoid, Singularities of Serial Arm. John T. Wen. October 14, 2008 Robotics & Automation Lecture 17 Manipulability Ellipsoid, Singularities of Serial Arm John T. Wen October 14, 2008 Jacobian Singularity rank(j) = dimension of manipulability ellipsoid = # of independent

More information

Tensor Analysis in Euclidean Space

Tensor Analysis in Euclidean Space Tensor Analysis in Euclidean Space James Emery Edited: 8/5/2016 Contents 1 Classical Tensor Notation 2 2 Multilinear Functionals 4 3 Operations With Tensors 5 4 The Directional Derivative 5 5 Curvilinear

More information

Massachusetts Institute of Technology Department of Physics. Final Examination December 17, 2004

Massachusetts Institute of Technology Department of Physics. Final Examination December 17, 2004 Massachusetts Institute of Technology Department of Physics Course: 8.09 Classical Mechanics Term: Fall 004 Final Examination December 17, 004 Instructions Do not start until you are told to do so. Solve

More information

Case Study: The Pelican Prototype Robot

Case Study: The Pelican Prototype Robot 5 Case Study: The Pelican Prototype Robot The purpose of this chapter is twofold: first, to present in detail the model of the experimental robot arm of the Robotics lab. from the CICESE Research Center,

More information

Rotational & Rigid-Body Mechanics. Lectures 3+4

Rotational & Rigid-Body Mechanics. Lectures 3+4 Rotational & Rigid-Body Mechanics Lectures 3+4 Rotational Motion So far: point objects moving through a trajectory. Next: moving actual dimensional objects and rotating them. 2 Circular Motion - Definitions

More information

Lagrange s Equations of Motion and the Generalized Inertia

Lagrange s Equations of Motion and the Generalized Inertia Lagrange s Equations of Motion and the Generalized Inertia The Generalized Inertia Consider the kinetic energy for a n degree of freedom mechanical system with coordinates q, q 2,... q n. If the system

More information

Variation Principle in Mechanics

Variation Principle in Mechanics Section 2 Variation Principle in Mechanics Hamilton s Principle: Every mechanical system is characterized by a Lagrangian, L(q i, q i, t) or L(q, q, t) in brief, and the motion of he system is such that

More information

MSMS Matlab Problem 02

MSMS Matlab Problem 02 MSMS 2014-2015 Matlab Problem 02 Basilio Bona DAUIN PoliTo Problem formulation The planar system illustrated in Figure 1 consists of a cart C sliding with friction along the horizontal rail; the cart supports

More information

ME751 Advanced Computational Multibody Dynamics

ME751 Advanced Computational Multibody Dynamics ME751 Advanced Computational Multibody Dynamics Inverse Dynamics Equilibrium Analysis Various Odd Ends March 18, 2010 Dan Negrut, 2010 ME751, UW-Madison Action speaks louder than words but not nearly as

More information

112 Dynamics. Example 5-3

112 Dynamics. Example 5-3 112 Dynamics Gravity Joint 1 Figure 6-7: Remotely driven two d.o.r. planar manipulator. Note that, since no external force acts on the endpoint, the generalized forces coincide with the joint torques,

More information

CP1 REVISION LECTURE 3 INTRODUCTION TO CLASSICAL MECHANICS. Prof. N. Harnew University of Oxford TT 2017

CP1 REVISION LECTURE 3 INTRODUCTION TO CLASSICAL MECHANICS. Prof. N. Harnew University of Oxford TT 2017 CP1 REVISION LECTURE 3 INTRODUCTION TO CLASSICAL MECHANICS Prof. N. Harnew University of Oxford TT 2017 1 OUTLINE : CP1 REVISION LECTURE 3 : INTRODUCTION TO CLASSICAL MECHANICS 1. Angular velocity and

More information

Differential Kinematics

Differential Kinematics Differential Kinematics Relations between motion (velocity) in joint space and motion (linear/angular velocity) in task space (e.g., Cartesian space) Instantaneous velocity mappings can be obtained through

More information

q 1 F m d p q 2 Figure 1: An automated crane with the relevant kinematic and dynamic definitions.

q 1 F m d p q 2 Figure 1: An automated crane with the relevant kinematic and dynamic definitions. Robotics II March 7, 018 Exercise 1 An automated crane can be seen as a mechanical system with two degrees of freedom that moves along a horizontal rail subject to the actuation force F, and that transports

More information

Advanced Robotic Manipulation

Advanced Robotic Manipulation Lecture Notes (CS327A) Advanced Robotic Manipulation Oussama Khatib Stanford University Spring 2005 ii c 2005 by Oussama Khatib Contents 1 Spatial Descriptions 1 1.1 Rigid Body Configuration.................

More information

EN Nonlinear Control and Planning in Robotics Lecture 2: System Models January 28, 2015

EN Nonlinear Control and Planning in Robotics Lecture 2: System Models January 28, 2015 EN53.678 Nonlinear Control and Planning in Robotics Lecture 2: System Models January 28, 25 Prof: Marin Kobilarov. Constraints The configuration space of a mechanical sysetm is denoted by Q and is assumed

More information

In the presence of viscous damping, a more generalized form of the Lagrange s equation of motion can be written as

In the presence of viscous damping, a more generalized form of the Lagrange s equation of motion can be written as 2 MODELING Once the control target is identified, which includes the state variable to be controlled (ex. speed, position, temperature, flow rate, etc), and once the system drives are identified (ex. force,

More information

Ch. 5: Jacobian. 5.1 Introduction

Ch. 5: Jacobian. 5.1 Introduction 5.1 Introduction relationship between the end effector velocity and the joint rates differentiate the kinematic relationships to obtain the velocity relationship Jacobian matrix closely related to the

More information

Chapter 5. . Dynamics. 5.1 Introduction

Chapter 5. . Dynamics. 5.1 Introduction Chapter 5. Dynamics 5.1 Introduction The study of manipulator dynamics is essential for both the analysis of performance and the design of robot control. A manipulator is a multilink, highly nonlinear

More information

DYNAMIC MODEL FOR AN ARTICULATED MANIPULATOR. Luis Arturo Soriano, Jose de Jesus Rubio, Salvador Rodriguez and Cesar Torres

DYNAMIC MODEL FOR AN ARTICULATED MANIPULATOR. Luis Arturo Soriano, Jose de Jesus Rubio, Salvador Rodriguez and Cesar Torres ICIC Express Letters Part B: Applications ICIC International c 011 ISSN 185-766 Volume, Number, April 011 pp 415 40 DYNAMIC MODEL FOR AN ARTICULATED MANIPULATOR Luis Arturo Soriano, Jose de Jesus Rubio,

More information

Robotics & Automation. Lecture 06. Serial Kinematic Chain, Forward Kinematics. John T. Wen. September 11, 2008

Robotics & Automation. Lecture 06. Serial Kinematic Chain, Forward Kinematics. John T. Wen. September 11, 2008 Robotics & Automation Lecture 06 Serial Kinematic Chain, Forward Kinematics John T. Wen September 11, 2008 So Far... We have covered rigid body rotational kinematics: representations of SO(3), change of

More information

(r i F i ) F i = 0. C O = i=1

(r i F i ) F i = 0. C O = i=1 Notes on Side #3 ThemomentaboutapointObyaforceF that acts at a point P is defined by M O (r P r O F, where r P r O is the vector pointing from point O to point P. If forces F, F, F 3,..., F N act on particles

More information

Lecture 13: Forces in the Lagrangian Approach

Lecture 13: Forces in the Lagrangian Approach Lecture 3: Forces in the Lagrangian Approach In regular Cartesian coordinates, the Lagrangian for a single particle is: 3 L = T U = m x ( ) l U xi l= Given this, we can readily interpret the physical significance

More information

Robotics. Dynamics. University of Stuttgart Winter 2018/19

Robotics. Dynamics. University of Stuttgart Winter 2018/19 Robotics Dynamics 1D point mass, damping & oscillation, PID, dynamics of mechanical systems, Euler-Lagrange equation, Newton-Euler, joint space control, reference trajectory following, optimal operational

More information

Lecture 13 REVIEW. Physics 106 Spring What should we know? What should we know? Newton s Laws

Lecture 13 REVIEW. Physics 106 Spring What should we know? What should we know? Newton s Laws Lecture 13 REVIEW Physics 106 Spring 2006 http://web.njit.edu/~sirenko/ What should we know? Vectors addition, subtraction, scalar and vector multiplication Trigonometric functions sinθ, cos θ, tan θ,

More information

Robotics I Kinematics, Dynamics and Control of Robotic Manipulators. Velocity Kinematics

Robotics I Kinematics, Dynamics and Control of Robotic Manipulators. Velocity Kinematics Robotics I Kinematics, Dynamics and Control of Robotic Manipulators Velocity Kinematics Dr. Christopher Kitts Director Robotic Systems Laboratory Santa Clara University Velocity Kinematics So far, we ve

More information

We are IntechOpen, the world s leading publisher of Open Access books Built by scientists, for scientists. International authors and editors

We are IntechOpen, the world s leading publisher of Open Access books Built by scientists, for scientists. International authors and editors We are IntechOpen, the world s leading publisher of Open Access books Built by scientists, for scientists 3,350 108,000 1.7 M Open access books available International authors and editors Downloads Our

More information

Fuzzy Based Robust Controller Design for Robotic Two-Link Manipulator

Fuzzy Based Robust Controller Design for Robotic Two-Link Manipulator Abstract Fuzzy Based Robust Controller Design for Robotic Two-Link Manipulator N. Selvaganesan 1 Prabhu Jude Rajendran 2 S.Renganathan 3 1 Department of Instrumentation Engineering, Madras Institute of

More information

Lecture 9: Eigenvalues and Eigenvectors in Classical Mechanics (See Section 3.12 in Boas)

Lecture 9: Eigenvalues and Eigenvectors in Classical Mechanics (See Section 3.12 in Boas) Lecture 9: Eigenvalues and Eigenvectors in Classical Mechanics (See Section 3 in Boas) As suggested in Lecture 8 the formalism of eigenvalues/eigenvectors has many applications in physics, especially in

More information

EE Homework 3 Due Date: 03 / 30 / Spring 2015

EE Homework 3 Due Date: 03 / 30 / Spring 2015 EE 476 - Homework 3 Due Date: 03 / 30 / 2015 Spring 2015 Exercise 1 (10 points). Consider the problem of two pulleys and a mass discussed in class. We solved a version of the problem where the mass was

More information

General Physics (PHY 2130)

General Physics (PHY 2130) General Physics (PHY 130) Lecture 0 Rotational dynamics equilibrium nd Newton s Law for rotational motion rolling Exam II review http://www.physics.wayne.edu/~apetrov/phy130/ Lightning Review Last lecture:

More information

Lecture Outline Chapter 5. Physics, 4 th Edition James S. Walker. Copyright 2010 Pearson Education, Inc.

Lecture Outline Chapter 5. Physics, 4 th Edition James S. Walker. Copyright 2010 Pearson Education, Inc. Lecture Outline Chapter 5 Physics, 4 th Edition James S. Walker Chapter 5 Newton s Laws of Motion Force and Mass Units of Chapter 5 Newton s First Law of Motion Newton s Second Law of Motion Newton s Third

More information

Approach based on Cartesian coordinates

Approach based on Cartesian coordinates GraSMech course 2005-2006 Computer-aided analysis of rigid and flexible multibody systems Approach based on Cartesian coordinates Prof. O. Verlinden Faculté polytechnique de Mons Olivier.Verlinden@fpms.ac.be

More information

MSMS Basilio Bona DAUIN PoliTo

MSMS Basilio Bona DAUIN PoliTo MSMS 214-215 Basilio Bona DAUIN PoliTo Problem 2 The planar system illustrated in Figure 1 consists of a bar B and a wheel W moving (no friction, no sliding) along the bar; the bar can rotate around an

More information

Lecture 38: Equations of Rigid-Body Motion

Lecture 38: Equations of Rigid-Body Motion Lecture 38: Equations of Rigid-Body Motion It s going to be easiest to find the equations of motion for the object in the body frame i.e., the frame where the axes are principal axes In general, we can

More information

Review: control, feedback, etc. Today s topic: state-space models of systems; linearization

Review: control, feedback, etc. Today s topic: state-space models of systems; linearization Plan of the Lecture Review: control, feedback, etc Today s topic: state-space models of systems; linearization Goal: a general framework that encompasses all examples of interest Once we have mastered

More information

Lecture 19: Calculus of Variations II - Lagrangian

Lecture 19: Calculus of Variations II - Lagrangian Lecture 19: Calculus of Variations II - Lagrangian 1. Key points Lagrangian Euler-Lagrange equation Canonical momentum Variable transformation Maple VariationalCalculus package EulerLagrange 2. Newton's

More information

The Dynamics of Fixed Base and Free-Floating Robotic Manipulator

The Dynamics of Fixed Base and Free-Floating Robotic Manipulator The Dynamics of Fixed Base and Free-Floating Robotic Manipulator Ravindra Biradar 1, M.B.Kiran 1 M.Tech (CIM) Student, Department of Mechanical Engineering, Dayananda Sagar College of Engineering, Bangalore-560078

More information

Chapter 12. Recall that when a spring is stretched a distance x, it will pull back with a force given by: F = -kx

Chapter 12. Recall that when a spring is stretched a distance x, it will pull back with a force given by: F = -kx Chapter 1 Lecture Notes Chapter 1 Oscillatory Motion Recall that when a spring is stretched a distance x, it will pull back with a force given by: F = -kx When the mass is released, the spring will pull

More information

Classical Mechanics III (8.09) Fall 2014 Assignment 3

Classical Mechanics III (8.09) Fall 2014 Assignment 3 Classical Mechanics III (8.09) Fall 2014 Assignment 3 Massachusetts Institute of Technology Physics Department Due September 29, 2014 September 22, 2014 6:00pm Announcements This week we continue our discussion

More information

Constrained motion and generalized coordinates

Constrained motion and generalized coordinates Constrained motion and generalized coordinates based on FW-13 Often, the motion of particles is restricted by constraints, and we want to: work only with independent degrees of freedom (coordinates) k

More information

Lecture «Robot Dynamics»: Dynamics and Control

Lecture «Robot Dynamics»: Dynamics and Control Lecture «Robot Dynamics»: Dynamics and Control 151-0851-00 V lecture: CAB G11 Tuesday 10:15 12:00, every week exercise: HG E1.2 Wednesday 8:15 10:00, according to schedule (about every 2nd week) Marco

More information

Physical Dynamics (PHY-304)

Physical Dynamics (PHY-304) Physical Dynamics (PHY-304) Gabriele Travaglini March 31, 2012 1 Review of Newtonian Mechanics 1.1 One particle Lectures 1-2. Frame, velocity, acceleration, number of degrees of freedom, generalised coordinates.

More information

Lecture «Robot Dynamics»: Dynamics 2

Lecture «Robot Dynamics»: Dynamics 2 Lecture «Robot Dynamics»: Dynamics 2 151-0851-00 V lecture: CAB G11 Tuesday 10:15 12:00, every week exercise: HG E1.2 Wednesday 8:15 10:00, according to schedule (about every 2nd week) office hour: LEE

More information

WEEK 1 Dynamics of Machinery

WEEK 1 Dynamics of Machinery WEEK 1 Dynamics of Machinery References Theory of Machines and Mechanisms, J.J. Uicker, G.R.Pennock ve J.E. Shigley, 2003 Makine Dinamiği, Prof. Dr. Eres SÖYLEMEZ, 2013 Uygulamalı Makine Dinamiği, Jeremy

More information

General Theoretical Concepts Related to Multibody Dynamics

General Theoretical Concepts Related to Multibody Dynamics General Theoretical Concepts Related to Multibody Dynamics Before Getting Started Material draws on two main sources Ed Haug s book, available online: http://sbel.wisc.edu/courses/me751/2010/bookhaugpointers.htm

More information

Lecture 38: Equations of Rigid-Body Motion

Lecture 38: Equations of Rigid-Body Motion Lecture 38: Equations of Rigid-Body Motion It s going to be easiest to find the equations of motion for the object in the body frame i.e., the frame where the axes are principal axes In general, we can

More information

Lecture 37: Principal Axes, Translations, and Eulerian Angles

Lecture 37: Principal Axes, Translations, and Eulerian Angles Lecture 37: Principal Axes, Translations, and Eulerian Angles When Can We Find Principal Axes? We can always write down the cubic equation that one must solve to determine the principal moments But if

More information

In most robotic applications the goal is to find a multi-body dynamics description formulated

In most robotic applications the goal is to find a multi-body dynamics description formulated Chapter 3 Dynamics Mathematical models of a robot s dynamics provide a description of why things move when forces are generated in and applied on the system. They play an important role for both simulation

More information

Chapter 8. Centripetal Force and The Law of Gravity

Chapter 8. Centripetal Force and The Law of Gravity Chapter 8 Centripetal Force and The Law of Gravity Centripetal Acceleration An object traveling in a circle, even though it moves with a constant speed, will have an acceleration The centripetal acceleration

More information

NONLINEAR MECHANICAL SYSTEMS (MECHANISMS)

NONLINEAR MECHANICAL SYSTEMS (MECHANISMS) NONLINEAR MECHANICAL SYSTEMS (MECHANISMS) The analogy between dynamic behavior in different energy domains can be useful. Closer inspection reveals that the analogy is not complete. One key distinction

More information

Exercise 1b: Differential Kinematics of the ABB IRB 120

Exercise 1b: Differential Kinematics of the ABB IRB 120 Exercise 1b: Differential Kinematics of the ABB IRB 120 Marco Hutter, Michael Blösch, Dario Bellicoso, Samuel Bachmann October 5, 2016 Abstract The aim of this exercise is to calculate the differential

More information

ROBOTICS 01PEEQW. Basilio Bona DAUIN Politecnico di Torino

ROBOTICS 01PEEQW. Basilio Bona DAUIN Politecnico di Torino ROBOTICS 01PEEQW Basilio Bona DAUIN Politecnico di Torino Kinematic Functions Kinematic functions Kinematics deals with the study of four functions(called kinematic functions or KFs) that mathematically

More information

Kinematics (special case) Dynamics gravity, tension, elastic, normal, friction. Energy: kinetic, potential gravity, spring + work (friction)

Kinematics (special case) Dynamics gravity, tension, elastic, normal, friction. Energy: kinetic, potential gravity, spring + work (friction) Kinematics (special case) a = constant 1D motion 2D projectile Uniform circular Dynamics gravity, tension, elastic, normal, friction Motion with a = constant Newton s Laws F = m a F 12 = F 21 Time & Position

More information

Classical Mechanics and Electrodynamics

Classical Mechanics and Electrodynamics Classical Mechanics and Electrodynamics Lecture notes FYS 3120 Jon Magne Leinaas Department of Physics, University of Oslo 2 Preface FYS 3120 is a course in classical theoretical physics, which covers

More information

Robotics I. Classroom Test November 21, 2014

Robotics I. Classroom Test November 21, 2014 Robotics I Classroom Test November 21, 2014 Exercise 1 [6 points] In the Unimation Puma 560 robot, the DC motor that drives joint 2 is mounted in the body of link 2 upper arm and is connected to the joint

More information

the EL equation for the x coordinate is easily seen to be (exercise)

the EL equation for the x coordinate is easily seen to be (exercise) Physics 6010, Fall 2016 Relevant Sections in Text: 1.3 1.6 Examples After all this formalism it is a good idea to spend some time developing a number of illustrative examples. These examples represent

More information

Torque and Rotation Lecture 7

Torque and Rotation Lecture 7 Torque and Rotation Lecture 7 ˆ In this lecture we finally move beyond a simple particle in our mechanical analysis of motion. ˆ Now we consider the so-called rigid body. Essentially, a particle with extension

More information

General Physics I. Lecture 9: Vector Cross Product. Prof. WAN, Xin ( 万歆 )

General Physics I. Lecture 9: Vector Cross Product. Prof. WAN, Xin ( 万歆 ) General Physics I Lecture 9: Vector Cross Product Prof. WAN, Xin ( 万歆 ) xinwan@zju.edu.cn http://zimp.zju.edu.cn/~xinwan/ Outline Examples of the rotation of a rigid object about a fixed axis Force/torque

More information

Swinging-Up and Stabilization Control Based on Natural Frequency for Pendulum Systems

Swinging-Up and Stabilization Control Based on Natural Frequency for Pendulum Systems 9 American Control Conference Hyatt Regency Riverfront, St. Louis, MO, USA June -, 9 FrC. Swinging-Up and Stabilization Control Based on Natural Frequency for Pendulum Systems Noriko Matsuda, Masaki Izutsu,

More information

Introduction MEAM 535. What is MEAM 535? Audience. Advanced topics in dynamics

Introduction MEAM 535. What is MEAM 535? Audience. Advanced topics in dynamics What is MEAM 535? Advanced topics in dynamics Audience Review of Newtonian mechanics MEAM 535 Introduction Analytical mechanics: Lagrangian and Hamiltonian Special topics: Stability of dynamical systems,

More information

DEVIL PHYSICS BADDEST CLASS ON CAMPUS IB PHYSICS

DEVIL PHYSICS BADDEST CLASS ON CAMPUS IB PHYSICS DEVIL PHYSICS BADDEST CLASS ON CAMPUS IB PHYSICS OPTION B-1A: ROTATIONAL DYNAMICS Essential Idea: The basic laws of mechanics have an extension when equivalent principles are applied to rotation. Actual

More information

7 Pendulum. Part II: More complicated situations

7 Pendulum. Part II: More complicated situations MATH 35, by T. Lakoba, University of Vermont 60 7 Pendulum. Part II: More complicated situations In this Lecture, we will pursue two main goals. First, we will take a glimpse at a method of Classical Mechanics

More information

PHYSICS 110A : CLASSICAL MECHANICS

PHYSICS 110A : CLASSICAL MECHANICS PHYSICS 110A : CLASSICAL MECHANICS 1. Introduction to Dynamics motion of a mechanical system equations of motion : Newton s second law ordinary differential equations (ODEs) dynamical systems simple 2.

More information

Physics 8, Fall 2011, equation sheet work in progress

Physics 8, Fall 2011, equation sheet work in progress 1 year 3.16 10 7 s Physics 8, Fall 2011, equation sheet work in progress circumference of earth 40 10 6 m speed of light c = 2.9979 10 8 m/s mass of proton or neutron 1 amu ( atomic mass unit ) = 1 1.66

More information

2.003SC Recitation 3 Notes:V and A of a Point in a Moving Frame

2.003SC Recitation 3 Notes:V and A of a Point in a Moving Frame 2.003SC Recitation 3 Notes:V and A of a Point in a Moving Frame Velocity and Acceleration of a Point in a Moving Frame The figure below shows a point B in a coordinate system Axyz which is translating

More information

Lecture «Robot Dynamics»: Kinematics 2

Lecture «Robot Dynamics»: Kinematics 2 Lecture «Robot Dynamics»: Kinematics 2 151-0851-00 V lecture: CAB G11 Tuesday 10:15 12:00, every week exercise: HG E1.2 Wednesday 8:15 10:00, according to schedule (about every 2nd week) Marco Hutter,

More information

Chapter 8. Rotational Motion

Chapter 8. Rotational Motion Chapter 8 Rotational Motion The Action of Forces and Torques on Rigid Objects In pure translational motion, all points on an object travel on parallel paths. The most general motion is a combination of

More information

7. FORCE ANALYSIS. Fundamentals F C

7. FORCE ANALYSIS. Fundamentals F C ME 352 ORE NLYSIS 7. ORE NLYSIS his chapter discusses some of the methodologies used to perform force analysis on mechanisms. he chapter begins with a review of some fundamentals of force analysis using

More information

CHAPTER 12 OSCILLATORY MOTION

CHAPTER 12 OSCILLATORY MOTION CHAPTER 1 OSCILLATORY MOTION Before starting the discussion of the chapter s concepts it is worth to define some terms we will use frequently in this chapter: 1. The period of the motion, T, is the time

More information