Lecture Note 12: Dynamics of Open Chains: Lagrangian Formulation
|
|
- Bryce McCoy
- 5 years ago
- Views:
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 L dt q L q (1) Euler-Lagrange Equations Lecture 12 (ECE5463 Sp18) Wei Zhang(OSU) 9 / 20
10 Example: Spherical Pendulum l θ φ mg Figure 4.1: Idealized spherical pendulum. The config tem is described by the angles θ and φ. where L q, L q, and Υ are to be formally regarded as r we often write them as column vectors for notation proof of Theorem 4.1 can be found in most books o chanical systems (e.g., [99]). Lagrange s equations are an elegant formulation a mechanical system. They reduce the number of e describe the motion of the system from n, the numbe system, to m, the number of generalized coordinates. are no constraints, then we can choose q to be the com T = 1 2 mi ṙi 2, and equation (4.5) then reduces to fact, rearranging equation (4.5) as d L dt q = L q + Υ 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 L dt θ L i 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 ii ] : Spatial inertia matrix Kinetic energy of link i: K i = 1 2 VT i G iv 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 j+1 ] B j, j < i and 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 ( Mij + M ik M ) jk 2 θ k θ j 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 r1c g(θ) C ij(θ, θ) n k=1 Γ θ l2c2 r2c ijk k is called the 0 Coriolis l1s3 0 matrix 0 r2 l1c3 r2 θ3 To compute the manipulator inertia matrix, we first compute the body Jacobians corresponding to each link frame. A detailed, but straightforward, calculation yields J1 = Jsl1(0) b = J3 = Jsl3(0) b = J2 = Jsl2(0) b = 0 r s s c c by: The inertia matrix for the system is given by Γ112 = (Iy2 Iz2 m2r1)c2s2 2 + (Iy3 Iz3)c23s23 M11 M12 M13 m3(l1c2 + r2c23)(l1s2 + r2s23) M(θ) = M21 M22 M23 = J1 T M1J1 + J2 T M2J2 + J3 T M3J3. Γ113 = (Iy3 Iz3)c23s23 m3r2s23(l1c2 + r2c23) M31 M32 M33 The components of M are given by Γ121 = (Iy2 Iz2 m2r 2 1)c2s2 + (Iy3 Iz3)c23s23 m3(l1c2 + r2c23)(l1s2 + r2s23) θ1 L1 θ2 L2 L3 θ4 M11 = Iy2s Iy3s Iz1 + Iz2c Iz3c m2r1c m3(l1c2 + r2c23) 2 M12 = 0 M13 = 0 M21 = 0 Γ131 = (Iy3 Iz3)c23s23 m3r2s23(l1c2 + r2c23) Γ211 = (Iz2 Iy2 + m2r1)c2s2 2 + (Iz3 Iy3)c23s23 + m3(l1c2 + r2c23)(l1s2 + r2s23) Γ223 = l1m3r2s3 L4 M22 = Ix2 + Ix3 + m3l m2r m3r m3l1r2c3 Γ232 = l1m3r2s3 x z S y l1 l0 l2 M23 = Ix3 + m3r2 2 + m3l1r2c3 M31 = 0 M32 = Ix3 + m3r2 2 + m3l1r2c3 M33 = Ix3 + m3r2. 2 Γ233 = l1m3r2s3 Γ311 = (Iz3 Iy3)c23s23 + m3r2s23(l1c2 + r2c23) Γ322 = l1m3r2s3 Note that several of the moments of inertia of the different Finally, links dowe not compute the effect of gravitational forces on the manipulator. These of freedom forces are written as derivative gives appear in this expression. This is because the limited degrees Figure 4.6: SCARA manipulator in its reference configuration. of the manipulator do not allow arbitrary rotations of each joint around each axis. N(θ, The Coriolis and centrifugal forces are computed directly from the θ) = V N(θ, θ) = V 0 θ, here inertia θ = (m2gr1 + m3gl1) cos θ2 m3r2 cos(θ2 + θ3)). matrix via the formula α = Iz1 + r1m1 2 + l1m2 2 + l1m3 2 + l1m4 2 m3gr2 cos(θ2 + θ3)) β = Iz2 + Iz3 + Iz4 + l2m3 2 + l2m4 2 + m2r2 2 Cij(θ, θ) n = Γijk θk = 1 n ( where) V : R n R is the potential energy of the manipulator. For the Mij + Mik three-link Mkj θk. manipulator under consideration here, the potential energy is 2 θk θj θi k=1 k=1 given by γ = l1l2m3 + l1l2m4 + l1m2r2 (4.25) This completes the derivation of the dynamics. V (θ) = m1gh1(θ) + m2gh2(θ) + m3gh3(θ), δ = Lagrangian Iz3 + Iz4. Formulation A very messy calculation Lectureshows 12 (ECE5463 that the nonzero Sp18) values of Γijk are given Wei Zhang(OSU) 17 / 20
18 613, = XO. b216 = * Lagrangian Dynamic Equations of Open Chains Dynamic model of PUMA 560 Arm: metric G2 to These ations; totals 12 = I3 = +I16 * (C223* C * C4 * 5 5) * SC23 * CC4 +I20 * ((I + CC4) * SC23 * SS5 - (1-2 * SS23) * C4 * SC5) +I22 * ((1-2 * ) * C5-2 * SC23 * C4 * S5)) +Ilo * (1-2 * ss23) + (1-2 ss2) ; N * SC XlO- * C * SC ~10-~ * (1-2 * SS23). ate. The g to. Is = I, = I7 = bl13 = 2 {I5 * C2 * C23 + I7 * SC23 - I12 * C2 * 523 +Ils*(2*sc23*c5+(1-2*ss23)*c4*s5) +I16 * C2 * (C23* C5 - S23 * C4 * 5 5) * SC23 * CC4 +I20 * (( 1 + CC4) * 5c23 * (1-2 * 5523) * C4 * 5c5) +I22 (( 1-2 * 5523) * C5-2 * 5c23 * C4 * 55)} +I10 * (1-2 * SS23) ; X 7.44~10~ * C2 * C * SC ~10-~ * C2 * S ~10-~ * (1-2 * SS23). bllr = 2*{-115*sc23*54*s5-116*c2*c23*s4*s5 +I18 * C4 * S5-120 * (SS23* SS5 * SC4 - SC23 * 54 * SC5) -122 * CC23 * S4 * S5 - I21 * SS23 * SC4} ; x -2.50~10-~ * SC23 * S4 * S ~10-~ * C4 * xlO- * C2 * C23 * S4 * S5. ented d mof link rberg center 3 the re the atrix, only e pre- B(q), left in r the t int i. where s of ifugal s for e A7. it to ave a &e; g the mic Part 11. Gravitional Constants 81 = -g*((m~+m4+m5+m~)*az+m2*rz2); gz = g*(m.s*ry3-(m4+m5+m6)*d4-m4*r,4); g3 = g * m2 * ry2 ; 84 = -g*(m4+m5+rn6)*as; g.5 = -g * m.5 * rz6 ; Table AS. Computed Values for the Constants Appearing in the Equations of Forces of Motion. (Inertial constants have units of kilogram meters-squared) 1.43 f f ~10-I f 0.31~10-~ 2.98xlO-' f 0.29~10-~ 2.38~lO-~f 1.20~10-~ -1.42~10-~ f 0.70~10~~ -3.79~10-' f 0.90~10-~ 1.25~10-~ f 0.30~10-~ 6.42xlO-' f 3.00~10-~ 3.00~10-~ f 14.0~10-~ -I.OOX~O-~ f 6.00~10-~ ~.OOXIO-J ~ = 2 * {I20 * (SC5* (CC4* (1- CC23) - CC23) -SC23 * C4 * (1-2 * SS5)) (SS23* S5 - SC23* 6 4 * C5) -116*C2*(S23*S5-C23*C4*C5)+118*S4*C5 +I22 * (CC23* C4 * C5 - SC23 * S5)} N -2.50~10-~* (SS23* S5 - SC23 * C4 * C5) ~ lo- * C2 * (S23* 55 - C23 * C4 * C5) + 8.EOxlO-4 * 54 * C5. b116 = 0. blzs = 2*{-Ib*s23+Ils*C23+116*s23*S4*s5 +I18 * (C23* C4 * S5 + S23 * C5) * C23 * SC4 +I20 * S4 * (C23* C4 * CC5-523 * SC5) +Iz2 * G23 * S4 * S5) ; x 2,67xlO- * S x10- * C = -118 * 2 * S23 * 5 4 * S * 523 * (1- (2* SS4)) +120*S23*(1-2*SS4*CC5)-114*S23; %Ow b125 = I1,*C23*S4+Il8*2*(s23*C4*C5+c23*s5) +120*s4*(C23*(1-2*SS5)-s23*C4*2*SC5); X = -Izs*(S23*C5+C23*C4*S5); xo = blzs * 6156 = b126 * bl45 = 2 * {I15 * S23 * C4 * C * C2 c C4 * C5 +Ils*c23*s4*c5+122*C23*c4*C5}+I17*s23*C4 -I*o * (s23* c4 * (I- 2 * SS5) + 2 * C23 : SC5) ; 6146 = I23 * 5 23 * S4 * 55 ; N 0. b156 = -123 * (6 23 * 5 5 +,523* C4 * c5) ; X 0. b212 = 0. b2ls 0. bzlr = Ilt * S * S23* (1- (2* SS4)) +2*{-Il5*C23*C4*S5+116*S2*C4*S5 +I20 * (523* (CC5* CC4-0.5) + C23 * C4 * SC5) +I22 * S23 * G4 t S5) ; X 1.64X10-s * ~10-~ * C23 * C4 * S ~10- * S2 C4 * S ~10- * 523 * (1- (2* ss4)). bzla =2*{-115*C23*S4*C5+122*S23*S4+C5 +116*S2*S4*C5}-I17*C23*s4 +rzo~(c23~s4~(1-2~ss5)-2~s23~sc4~sc5); X -2.50~10- * C23 * S4 * C ~10-~ * 52 * 54 * c5-6.42x10- * C23 * 54. b424 = 0. (Gravitational constants have units of newton meters) gl = f 00.5 gz = f 0.20 gs = 1.02 f 0.50 g* = 2.49~10-' f 0.25XIO-' gs = -2.82~10-' f 0.56X10-2 b223 =2*{-112*S3+I~*C3+116*(C3*C5-53*C4*S5))j a 2.20~10-~ * S x10- * C 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
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 informationDynamics 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 informationMultibody 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 informationMultibody 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 informationIn 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 informationLecture 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 informationLecture 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 informationArtificial 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 informationRobot 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 informationDynamics. 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 informationDYNAMICS 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 informationIntroduction 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 informationDynamics. 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(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 informationLecture 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 informationVideo 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 informationDynamics. 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 informationLecture 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 informationLecture 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 informationCP1 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 informationTrajectory-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 informationVariation 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 informationLagrange 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 informationLecture 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 informationRobotics & 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 informationIn 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 informationVideo 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 informationLecture 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 informationLecture 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 informationROBOTICS 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 informationLagrangian 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 informationAdvanced 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 informationLecture 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 informationManipulator 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 informationDYNAMICS 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 informationCase 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 informationChapter 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 information112 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 informationCh. 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 informationFuzzy 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 informationVideo 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 informationNMT EE 589 & UNM ME 482/582 ROBOT ENGINEERING. Dr. Stephen Bruder NMT EE 589 & UNM ME 482/582
NM EE 589 & UNM ME 48/58 ROBO ENGINEERING Dr. Stephen Bruder NM EE 589 & UNM ME 48/58 5. Robot Dynamics 5. he Microbot Arm Dynamic Model A Second Dynamic Model Example: he Microbot Robot Arm he Denavit-Hartenberg
More informationRobotics. 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 informationMSMS 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 informationMSMS 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 informationq 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 informationRECURSIVE INVERSE DYNAMICS
We assume at the outset that the manipulator under study is of the serial type with n+1 links including the base link and n joints of either the revolute or the prismatic type. The underlying algorithm
More informationChapter 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 informationis conserved, calculating E both at θ = 0 and θ = π/2 we find that this happens for a value ω = ω given by: 2g
UNIVERSITETET I STAVANGER Institutt for matematikk og naturvitenskap Suggested solutions, FYS 500 Classical Mechanics Theory 2016 fall Set 5 for 23. September 2016 Problem 27: A string can only support
More informationMassachusetts 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 informationLecture 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 information2.003 Engineering Dynamics Problem Set 4 (Solutions)
.003 Engineering Dynamics Problem Set 4 (Solutions) Problem 1: 1. Determine the velocity of point A on the outer rim of the spool at the instant shown when the cable is pulled to the right with a velocity
More informationPLANAR KINETIC EQUATIONS OF MOTION (Section 17.2)
PLANAR KINETIC EQUATIONS OF MOTION (Section 17.2) We will limit our study of planar kinetics to rigid bodies that are symmetric with respect to a fixed reference plane. As discussed in Chapter 16, when
More informationClassical Mechanics. FIG. 1. Figure for (a), (b) and (c). FIG. 2. Figure for (d) and (e).
Classical Mechanics 1. Consider a cylindrically symmetric object with a total mass M and a finite radius R from the axis of symmetry as in the FIG. 1. FIG. 1. Figure for (a), (b) and (c). (a) Show that
More informationIn 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 informationDYNAMIC 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 informationEN 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 informationPhysics 235 Chapter 7. Chapter 7 Hamilton's Principle - Lagrangian and Hamiltonian Dynamics
Chapter 7 Hamilton's Principle - Lagrangian and Hamiltonian Dynamics Many interesting physics systems describe systems of particles on which many forces are acting. Some of these forces are immediately
More informationPhysical 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 informationClassical 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 informationRotational & 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 information3 Space curvilinear motion, motion in non-inertial frames
3 Space curvilinear motion, motion in non-inertial frames 3.1 In-class problem A rocket of initial mass m i is fired vertically up from earth and accelerates until its fuel is exhausted. The residual mass
More informationRobotics & 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 informationTensor 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 informationReview: 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 informationTwo-Dimensional Rotational Kinematics
Two-Dimensional Rotational Kinematics Rigid Bodies A rigid body is an extended object in which the distance between any two points in the object is constant in time. Springs or human bodies are non-rigid
More informationWe 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 informationRotational Kinetic Energy
Lecture 17, Chapter 10: Rotational Energy and Angular Momentum 1 Rotational Kinetic Energy Consider a rigid body rotating with an angular velocity ω about an axis. Clearly every point in the rigid body
More information8 Velocity Kinematics
8 Velocity Kinematics Velocity analysis of a robot is divided into forward and inverse velocity kinematics. Having the time rate of joint variables and determination of the Cartesian velocity of end-effector
More informationPHYSICS 221, FALL 2011 EXAM #2 SOLUTIONS WEDNESDAY, NOVEMBER 2, 2011
PHYSICS 1, FALL 011 EXAM SOLUTIONS WEDNESDAY, NOVEMBER, 011 Note: The unit vectors in the +x, +y, and +z directions of a right-handed Cartesian coordinate system are î, ĵ, and ˆk, respectively. In this
More informationDYNAMICS OF PARALLEL MANIPULATOR
DYNAMICS OF PARALLEL MANIPULATOR PARALLEL MANIPULATORS 6-degree of Freedom Flight Simulator BACKGROUND Platform-type parallel mechanisms 6-DOF MANIPULATORS INTRODUCTION Under alternative robotic mechanical
More informationCOMPLETE ALL ROUGH WORKINGS IN THE ANSWER BOOK AND CROSS THROUGH ANY WORK WHICH IS NOT TO BE ASSESSED.
BSc/MSci EXAMINATION PHY-304 Time Allowed: Physical Dynamics 2 hours 30 minutes Date: 28 th May 2009 Time: 10:00 Instructions: Answer ALL questions in section A. Answer ONLY TWO questions from section
More informationLecture 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 informationGeneralized Forces. Hamilton Principle. Lagrange s Equations
Chapter 5 Virtual Work and Lagrangian Dynamics Overview: Virtual work can be used to derive the dynamic and static equations without considering the constraint forces as was done in the Newtonian Mechanics,
More informationClassical Mechanics and Electrodynamics
Classical Mechanics and Electrodynamics Lecture notes FYS 3120 Jon Magne Leinaas Department of Physics, University of Oslo December 2009 2 Preface These notes are prepared for the physics course FYS 3120,
More information7. 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 informationRobotics & 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 informationME751 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 informationThe 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 informationof the four-bar linkage shown in Figure 1 is T 12
ME 5 - Machine Design I Fall Semester 0 Name of Student Lab Section Number FINL EM. OPEN BOOK ND CLOSED NOTES Wednesday, December th, 0 Use the blank paper provided for your solutions write on one side
More informationA B Ax Bx Ay By Az Bz
Lecture 5.1 Dynamics of Rotation For some time now we have been discussing the laws of classical dynamics. However, for the most part, we only talked about examples of translational motion. On the other
More informationNumerical Methods for Inverse Kinematics
Numerical Methods for Inverse Kinematics Niels Joubert, UC Berkeley, CS184 2008-11-25 Inverse Kinematics is used to pose models by specifying endpoints of segments rather than individual joint angles.
More informationPhysics A - PHY 2048C
Physics A - PHY 2048C and 11/15/2017 My Office Hours: Thursday 2:00-3:00 PM 212 Keen Building Warm-up Questions 1 Did you read Chapter 12 in the textbook on? 2 Must an object be rotating to have a moment
More informationLecture 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 informationGeneral 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 informationRobotics. 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 informationROBOTICS 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 informationCEE 271: Applied Mechanics II, Dynamics Lecture 27: Ch.18, Sec.1 5
1 / 42 CEE 271: Applied Mechanics II, Dynamics Lecture 27: Ch.18, Sec.1 5 Prof. Albert S. Kim Civil and Environmental Engineering, University of Hawaii at Manoa Tuesday, November 27, 2012 2 / 42 KINETIC
More information16. Rotational Dynamics
6. Rotational Dynamics A Overview In this unit we will address examples that combine both translational and rotational motion. We will find that we will need both Newton s second law and the rotational
More information1.053J/2.003J Dynamics and Control I Fall Final Exam 18 th December, 2007
1.053J/2.003J Dynamics and Control I Fall 2007 Final Exam 18 th December, 2007 Important Notes: 1. You are allowed to use three letter-size sheets (two-sides each) of notes. 2. There are five (5) problems
More informationPhysics 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 informationPH1104/PH114S MECHANICS
PH04/PH4S MECHANICS SEMESTER I EXAMINATION 06-07 SOLUTION MULTIPLE-CHOICE QUESTIONS. (B) For freely falling bodies, the equation v = gh holds. v is proportional to h, therefore v v = h h = h h =.. (B).5i
More informationLecture «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 informationNon-Linear Response of Test Mass to External Forces and Arbitrary Motion of Suspension Point
LASER INTERFEROMETER GRAVITATIONAL WAVE OBSERVATORY -LIGO- CALIFORNIA INSTITUTE OF TECHNOLOGY MASSACHUSETTS INSTITUTE OF TECHNOLOGY Technical Note LIGO-T980005-01- D 10/28/97 Non-Linear Response of Test
More informationLesson Rigid Body Dynamics
Lesson 8 Rigid Body Dynamics Lesson 8 Outline Problem definition and motivations Dynamics of rigid bodies The equation of unconstrained motion (ODE) User and time control Demos / tools / libs Rigid Body
More informationClassical Mechanics Comprehensive Exam Solution
Classical Mechanics Comprehensive Exam Solution January 31, 011, 1:00 pm 5:pm Solve the following six problems. In the following problems, e x, e y, and e z are unit vectors in the x, y, and z directions,
More informationMatFys. Week 5, Dec , 2005
MatFys Week 5, Dec. 1-18, 005 Lectures During this week s lectures we shall finish our treatment of classical mechanics and begin the quantum theory part of the course with an introduction to Hilbert spaces.
More informationLecture 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 informationAN INTRODUCTION TO LAGRANGE EQUATIONS. Professor J. Kim Vandiver October 28, 2016
AN INTRODUCTION TO LAGRANGE EQUATIONS Professor J. Kim Vandiver October 28, 2016 kimv@mit.edu 1.0 INTRODUCTION This paper is intended as a minimal introduction to the application of Lagrange equations
More informationPhys 7221 Homework # 8
Phys 71 Homework # 8 Gabriela González November 15, 6 Derivation 5-6: Torque free symmetric top In a torque free, symmetric top, with I x = I y = I, the angular velocity vector ω in body coordinates with
More information