Inverse Kinematics 1 1/21/2018

Size: px
Start display at page:

Download "Inverse Kinematics 1 1/21/2018"

Transcription

1 Invere Kinemati 1

2 Invere Kinemati 2 given the poe of the end effetor, find the joint variable that produe the end effetor poe for a -joint robot, given find 1 o R T 3 2 1,,,,, q q q q q q

3 RPP + Spherial Writ 3

4 RPP + Spherial Writ olving for the joint variable diretly i hard z y x d r r r d r r r d r r r T T T d d d d r z

5 Kinemati Deoupling for -joint robot where the lat 3 joint intereting at a point (e.g., lat 3 joint are pherial writ) there i a impler way to olve the invere kinemati problem 1. ue the interetion point (writ enter) to olve for the firt 3 joint variable invere poition kinemati 2. ue the end-effetor poe to olve for the lat 3 joint variable invere orientation kinemati

6 RPP Cylindrial Manipulator d 3 d 2 o d 1 z y x Given o = x y z find θ 1, d 2, d 3

7 RPP Cylindrial Manipulator d 3 d 2 o d 1 z y x 7

8 RPP Cylindrial Manipulator d 3 d 2 o d 1 z y x 8

9 RPP Cylindrial Manipulator d 3 d 2 o d 1 z y x 9

10 RPP Cylindrial Manipulator d 3 d 2 o d 1 z y x 1

11 RRP Spherial Manipulator Given o = x y z find θ 1, θ 2, d 3 11

12 RRP Spherial Manipulator 12

13 RRP Spherial Manipulator 13

14 RRP Spherial Manipulator 1

15 RRP Spherial Manipulator 1

16 Spherial Writ Link a i a i d i q i -9 q * 9 q * d q * * joint variable 1

17 Spherial Writ d d d T T T T

18 Spherial Writ o o d o o d R 1 18

19 Invere Kinemati Reap 1. Solve for the firt 3 joint variable q 1, q 2, q 3 uh that the writ enter o ha oordinate o 2. Uing the reult from Step 1, ompute R 3 3. Solve for the writ joint variable q, q, q orreponding to the rotation matrix R o d R T R 3 3 R 1 19

20 Spherial Writ 2 for the pherial writ d d d T T T T neg po, 1 atan2, 1 atan2 if r r r r q q

21 Spherial Writ d d d T T T T po, atan2, atan2, for r r r r q q q

22 Spherial Writ d d d T T T T neg, atan2, atan2, for r r r r q q q

23 Spherial Writ 23 if θ = d d d T T T T 1 1 d

24 Spherial Writ 2 ontinued from previou lide 1 1 d 1 1 d only the um θ +θ an be determined

25 Uing Invere Kinemati in Path Generation 2

26 Path Generation a path i defined a a equene of onfiguration a robot make to go from one plae to another a trajetory i a path where the veloity and aeleration along the path alo matter 2

27 Joint-Spae Path a joint-pae path i omputed onidering the joint variable link 2 link 1 end effetor path 27

28 Joint-Spae Path Joint Angle linear joint-pae path link 1 link 2 28

29 Joint-Spae Path given the urrent end-effetor poe and the deired final end-effetor poe find a equene of joint angle that generate the path between the two poe idea T f T olve for the invere kinemati for the urrent and final poe to get the joint angle for the urrent and final poe interpolate the joint angle 29

30 Joint-Spae Path 3 T T f q n q q Q 2 1 n f f q q q Q 2 1 invere kinemati invere kinemati

31 Joint-Spae Path find Q from T find f Q from f T t = 1 / m Q = f Q Q for j = 1 to m t j = j t j Q = Q + t j Q et joint to j Q end 31

32 Joint-Spae Path linearly interpolating the joint variable produe a linear joint-pae path a non-linear Carteian path depending on the kinemati truture the Carteian path an be very ompliated ome appliation might benefit from a imple, or well defined, Carteian path 32

33 Carteian-Spae Path a Carteian-pae path onider the poition of end-effetor link 2 link 1 end effetor path 33

34 Carteian-Spae Path Joint Variable 1 non-linear joint-pae path 3

35 Carteian-Spae Path Joint Variable 2 non-linear joint-pae path 3

36 Iue with Carteian-Spae Path 3

37 Joint Veloity Iue onider the RR robot hown below aume that the eond joint an rotate by ±18 degree 37

38 Joint Veloity Iue what happen when it i ommanded to follow the traight line path hown in red? 38

39 Joint Veloity Iue 39

40 Joint Veloity Iue jump diontinuity in firt derivative = infinite rotational aeleration teep lope = high rotational veloity

41 Workpae the reahable workpae of a robot i the volume wept by the end effetor for all poible ombination of joint variable i.e., it i the et of all point that the end effetor an be moved to 1

42 Workpae onider the RR robot hown below aume both joint an rotate by 3 degree

43 Workpae rotating the eond joint through 3 degree weep out the et of point on the dahed irle

44 Workpae rotating the firt and eond joint through 3 degree weep out the et of all point inide the outer dahed irle

45 Workpae workpae onit of all of the point inide the gray irle

46 Workpae workpae onit of all of the point inide the gray irle

47 Workpae onider the RR robot hown below where the eond link i horter than the firt aume both joint an rotate by 3 degree

48 Workpae rotating the eond joint through 3 degree weep out the et of point on the dahed irle

49 Workpae workpae onit of all of the point inide the gray area

50 Workpae onider the following traight line path hown in red tart point, end point, and all point in between are reahable

51 Workpae onider the following traight line path hown in red tart point and end point are reahable, but ome point in between are not reahable

52 Path atifying end point ontraint 2

53 Joint-Spae Path a joint-pae path i omputed onidering the joint variable link 1 link 2 end effetor path 3

54 Joint-Spae Path Joint Angle linear joint-pae path link 1 link 2

55 Contraint in the previou example we had two ontraint for joint 1: θ 1 = f θ 1 = 27 the implet path atifying thee ontraint i the traight line path if we add more ontraint then a traight line path may not be able to atify all of the ontraint

56 Veloity ontraint a ommon ontraint i that the robot tart from a tationary poition and top at a tationary poition in other word, the joint veloitie are zero at the tart and end of the movement 3. dθ1 dt = θ 1 =. f dθ1 dt = f θ 1 = more generally, we might require non-zero veloitie 3.. dθ1 dt f dθ1 dt = θ 1 = v = f θ 1 = f v

57 Aeleration ontraint for mooth motion, we might require that the aeleration at the tart and end of the motion be zero. d 2 θ 1 dt 2 = θ 1 =. f d 2 θ 1 dt 2 = f θ 1 = more generally, we might require non-zero aeleration. d 2 θ 1 dt 2 = θ 1 = α. f d 2 θ 1 dt 2 = f θ 1 = f α 7

58 Satifying the ontraint given ome et of ontraint on a joint variable q our goal i to find q t that atifie the ontraint there are an infinite number of hoie for q t it i ommon to hooe imple funtion to repreent q t 8

59 Satifying the ontraint with polynomial uppoe that we hooe q t to be a polynomial if we have n ontraint then we require a polynomial with n oeffiient that an be hoen to atify the ontraint in other word, we require a polynomial of degree n 1 9

60 Satifying the ontraint with polynomial uppoe that we have joint value and joint veloity ontraint 1. q t = q 2. q t f = q f 3.. q t = v q t f = v f we require a polynomial of degree 3 to repreent q t q t = a + bt + t 2 + dt 3 the derivative of q t i eay to ompute q t = b + 2t + 3dt 2

61 Satifying the ontraint with polynomial equating q t and q t to eah of the ontraint yield: 1. q t = q = a + bt + t 2 + dt 3 2. q t f = q f = a + bt f + t f 2 + dt f q t = v = b + 2t + 3dt 2 q t f = v f = b + 2t f + 3dt f 2 whih i a linear ytem of equation with unknown (a, b,, d) 1

62 Example onider the following ontraint where the robot i tationary at the tart and end of the movement 1. q t = θ = 1 2. q t f = θ 3 = q t = θ = q t f = θ 3 = 2

63 Example: Joint angle ubi θ 3 = 8 θ = 1 3

64 Example: Joint veloity quadrati θ = θ 3 =

65 Example: Joint aeleration linear

66 Satifying the ontraint with polynomial uppoe that we have joint value, joint veloity, and joint aeleration ontraint 1. q t = q 2. q t f = q f q t = v q t f = v f q t = α q t f = α f

67 Satifying the ontraint with polynomial we require a polynomial of degree to repreent q t q t = a + bt + t 2 + dt 3 + et + ft the derivative of q t are eay to ompute q t = b + 2t + 3dt 2 + et 3 + ft q t = 2 + dt + 12et 2 + 2ft 3 7

68 Satifying the ontraint with polynomial equating q t, q t, and q t to eah of the ontraint yield: 1. q t = q = a + bt + t 2 + dt 3 2. q t f = q f = a + bt f + t f 2 + dt f q t 2 = v = b + 2t + 3dt q t f 2 = v f = b + 2t f + 3dt f q t = α = 2 + dt + 12et ft q t f = α f = 2 + dt f + 12et 2 3 f + 2ft f whih i a linear ytem of equation with unknown (a, b,, d, e, f) 8

69 Example onider the following ontraint where the robot i tationary at the tart and end of the movement, and the joint aeleration are zero at the tart and end of the movement 1. q t = θ = 1 2. q t f = θ 3 = q t = θ = q t f = θ 3 = q t = θ = q t f = θ 3 = 9

70 Example: Joint angle quinti θ 3 = 8 θ = 1 7

71 Example: Joint veloity quarti θ = θ 3 = 71

72 Example: Joint aeleration ubi θ = θ 3 = 72

THE SOLAR SYSTEM. We begin with an inertial system and locate the planet and the sun with respect to it. Then. F m. Then

THE SOLAR SYSTEM. We begin with an inertial system and locate the planet and the sun with respect to it. Then. F m. Then THE SOLAR SYSTEM We now want to apply what we have learned to the olar ytem. Hitorially thi wa the great teting ground for mehani and provided ome of it greatet triumph, uh a the diovery of the outer planet.

More information

Chapter 6 Control Systems Design by Root-Locus Method. Lag-Lead Compensation. Lag lead Compensation Techniques Based on the Root-Locus Approach.

Chapter 6 Control Systems Design by Root-Locus Method. Lag-Lead Compensation. Lag lead Compensation Techniques Based on the Root-Locus Approach. hapter 6 ontrol Sytem Deign by Root-Lou Method Lag-Lead ompenation Lag lead ompenation ehnique Baed on the Root-Lou Approah. γ β K, ( γ >, β > ) In deigning lag lead ompenator, we onider two ae where γ

More information

Chapter 13. Root Locus Introduction

Chapter 13. Root Locus Introduction Chapter 13 Root Locu 13.1 Introduction In the previou chapter we had a glimpe of controller deign iue through ome imple example. Obviouly when we have higher order ytem, uch imple deign technique will

More information

Chapter 4. Simulations. 4.1 Introduction

Chapter 4. Simulations. 4.1 Introduction Chapter 4 Simulation 4.1 Introdution In the previou hapter, a methodology ha been developed that will be ued to perform the ontrol needed for atuator haraterization. A tudy uing thi methodology allowed

More information

A Queueing Model for Call Blending in Call Centers

A Queueing Model for Call Blending in Call Centers 434 IEEE TRANSACTIONS ON AUTOMATIC CONTROL, VOL. 48, NO. 8, AUGUST 2003 A Queueing Model for Call Blending in Call Center Sandjai Bhulai and Ger Koole Abtrat Call enter that apply all blending obtain high-produtivity

More information

Laplace Transformation

Laplace Transformation Univerity of Technology Electromechanical Department Energy Branch Advance Mathematic Laplace Tranformation nd Cla Lecture 6 Page of 7 Laplace Tranformation Definition Suppoe that f(t) i a piecewie continuou

More information

q-expansions of vector-valued modular forms of negative weight

q-expansions of vector-valued modular forms of negative weight Ramanujan J 2012 27:1 13 DOI 101007/11139-011-9299-9 q-expanion of vetor-valued modular form of negative weight Joe Gimenez Wiam Raji Reeived: 19 July 2010 / Aepted: 2 February 2011 / Publihed online:

More information

DISCHARGE MEASUREMENT IN TRAPEZOIDAL LINED CANALS UTILIZING HORIZONTAL AND VERTICAL TRANSITIONS

DISCHARGE MEASUREMENT IN TRAPEZOIDAL LINED CANALS UTILIZING HORIZONTAL AND VERTICAL TRANSITIONS Ninth International Water Tehnology Conferene, IWTC9 005, Sharm El-Sheikh, Egypt 63 DISCHARGE MEASUREMENT IN TRAPEZOIDAL LINED CANALS UTILIZING HORIZONTAL AND VERTICAL TRANSITIONS Haan Ibrahim Mohamed

More information

Practice Problems - Week #7 Laplace - Step Functions, DE Solutions Solutions

Practice Problems - Week #7 Laplace - Step Functions, DE Solutions Solutions For Quetion -6, rewrite the piecewie function uing tep function, ketch their graph, and find F () = Lf(t). 0 0 < t < 2. f(t) = (t 2 4) 2 < t In tep-function form, f(t) = u 2 (t 2 4) The graph i the olid

More information

Lecture 16. Kinetics and Mass Transfer in Crystallization

Lecture 16. Kinetics and Mass Transfer in Crystallization Leture 16. Kineti and Ma Tranfer in Crytallization Crytallization Kineti Superaturation Nuleation - Primary nuleation - Seondary nuleation Crytal Growth - Diffuion-reation theory - Srew-diloation theory

More information

7.2 INVERSE TRANSFORMS AND TRANSFORMS OF DERIVATIVES 281

7.2 INVERSE TRANSFORMS AND TRANSFORMS OF DERIVATIVES 281 72 INVERSE TRANSFORMS AND TRANSFORMS OF DERIVATIVES 28 and i 2 Show how Euler formula (page 33) can then be ued to deduce the reult a ( a) 2 b 2 {e at co bt} {e at in bt} b ( a) 2 b 2 5 Under what condition

More information

Operator s Panel. Graphical User Interface (GUI) CNC System. Architecture of CNC Unit. Interpolator. Control Panel. Indirect Control.

Operator s Panel. Graphical User Interface (GUI) CNC System. Architecture of CNC Unit. Interpolator. Control Panel. Indirect Control. Outline CC C Sytem Computer umerial Control CC Sytem Control Panel Control Sytem Diret Control Indiret Control Arhiteture o CC Unit Control Algorithm Interpolator Linear Cirular Courtey o Heidenhain Corp.

More information

2 where. x 1 θ = 1 θ = 0.6 x 2 θ = 0 θ = 0.2

2 where. x 1 θ = 1 θ = 0.6 x 2 θ = 0 θ = 0.2 Convex et I a ne and convex et I ome important example I operation that preerve convexity I eparating and upporting hyperplane I generalized inequalitie I dual cone and generalized inequalitie IOE 6: Nonlinear

More information

Jump condition at the boundary between a porous catalyst and a homogeneous fluid

Jump condition at the boundary between a porous catalyst and a homogeneous fluid From the SelectedWork of Francico J. Valde-Parada 2005 Jump condition at the boundary between a porou catalyt and a homogeneou fluid Francico J. Valde-Parada J. Alberto Ochoa-Tapia Available at: http://work.bepre.com/francico_j_valde_parada/12/

More information

Lecture 17: Analytic Functions and Integrals (See Chapter 14 in Boas)

Lecture 17: Analytic Functions and Integrals (See Chapter 14 in Boas) Lecture 7: Analytic Function and Integral (See Chapter 4 in Boa) Thi i a good point to take a brief detour and expand on our previou dicuion of complex variable and complex function of complex variable.

More information

Modeling and Simulation of Buck-Boost Converter with Voltage Feedback Control

Modeling and Simulation of Buck-Boost Converter with Voltage Feedback Control MATE Web of onferene 3, 0006 ( 05) DOI: 0.05/ mateonf/ 053 0006 Owned by the author, publihed by EDP Siene, 05 Modeling and Simulation of BukBoot onverter with oltage Feedbak ontrol Xuelian Zhou, Qiang

More information

Correction for Simple System Example and Notes on Laplace Transforms / Deviation Variables ECHE 550 Fall 2002

Correction for Simple System Example and Notes on Laplace Transforms / Deviation Variables ECHE 550 Fall 2002 Correction for Simple Sytem Example and Note on Laplace Tranform / Deviation Variable ECHE 55 Fall 22 Conider a tank draining from an initial height of h o at time t =. With no flow into the tank (F in

More information

Problem Set 8 Solutions

Problem Set 8 Solutions Deign and Analyi of Algorithm April 29, 2015 Maachuett Intitute of Technology 6.046J/18.410J Prof. Erik Demaine, Srini Devada, and Nancy Lynch Problem Set 8 Solution Problem Set 8 Solution Thi problem

More information

DIFFERENTIAL EQUATIONS

DIFFERENTIAL EQUATIONS DIFFERENTIAL EQUATIONS Laplace Tranform Paul Dawkin Table of Content Preface... Laplace Tranform... Introduction... The Definition... 5 Laplace Tranform... 9 Invere Laplace Tranform... Step Function...4

More information

The Prime Number Theorem

The Prime Number Theorem he Prime Number heorem Yuuf Chebao he main purpoe of thee note i to preent a fairly readable verion of a proof of the Prime Number heorem (PN, epanded from Setion 7-8 of Davenport tet [3]. We intend to

More information

UNIT 15 RELIABILITY EVALUATION OF k-out-of-n AND STANDBY SYSTEMS

UNIT 15 RELIABILITY EVALUATION OF k-out-of-n AND STANDBY SYSTEMS UNIT 1 RELIABILITY EVALUATION OF k-out-of-n AND STANDBY SYSTEMS Structure 1.1 Introduction Objective 1.2 Redundancy 1.3 Reliability of k-out-of-n Sytem 1.4 Reliability of Standby Sytem 1. Summary 1.6 Solution/Anwer

More information

Where Standard Physics Runs into Infinite Challenges, Atomism Predicts Exact Limits

Where Standard Physics Runs into Infinite Challenges, Atomism Predicts Exact Limits Where Standard Phyi Run into Infinite Challenge, Atomim Predit Exat Limit Epen Gaarder Haug Norwegian Univerity of Life Siene Deember, 07 Abtrat Where tandard phyi run into infinite hallenge, atomim predit

More information

TRANSIENT EXCITATION OF AN ELASTIC HALF-SPACE BY A POINT LOAD TRAVELING ON THE SURFACE

TRANSIENT EXCITATION OF AN ELASTIC HALF-SPACE BY A POINT LOAD TRAVELING ON THE SURFACE Offie of Naval Reearh Contrat Nonr-220(57) NR-064-487 Tehnial Report No. 8 TRANSIENT EXCITATION OF AN ELASTIC HALF-SPACE BY A POINT LOAD TRAVELING ON THE SURFACE by D. C. Gakenheimer and J. Miklowitz Ditribution

More information

Control Engineering An introduction with the use of Matlab

Control Engineering An introduction with the use of Matlab Derek Atherton An introdution with the ue of Matlab : An introdution with the ue of Matlab nd edition 3 Derek Atherton ISBN 978-87-43-473- 3 Content Content Prefae 9 About the author Introdution What i?

More information

@(; t) p(;,b t) +; t), (; t)) (( whih lat line follow from denition partial derivative. in relation quoted in leture. Th derive wave equation for ound

@(; t) p(;,b t) +; t), (; t)) (( whih lat line follow from denition partial derivative. in relation quoted in leture. Th derive wave equation for ound 24 Spring 99 Problem Set 5 Optional Problem Phy February 23, 999 Handout Derivation Wave Equation for Sound. one-dimenional wave equation for ound. Make ame ort Derive implifying aumption made in deriving

More information

The Hassenpflug Matrix Tensor Notation

The Hassenpflug Matrix Tensor Notation The Haenpflug Matrix Tenor Notation D.N.J. El Dept of Mech Mechatron Eng Univ of Stellenboch, South Africa e-mail: dnjel@un.ac.za 2009/09/01 Abtract Thi i a ample document to illutrate the typeetting of

More information

Really useful mathematics

Really useful mathematics i Really ueful mathemati William Harwin Department of Cyberneti Shool of Sytem Engineering November, 7 To be publihed at www.rdg.a.uk/ hhawin/dnb And what i that to me whoe mind i full of indiie and urd,

More information

Solutions to homework #10

Solutions to homework #10 Solution to homework #0 Problem 7..3 Compute 6 e 3 t t t 8. The firt tep i to ue the linearity of the Laplace tranform to ditribute the tranform over the um and pull the contant factor outide the tranform.

More information

Notes on the geometry of curves, Math 210 John Wood

Notes on the geometry of curves, Math 210 John Wood Baic definition Note on the geometry of curve, Math 0 John Wood Let f(t be a vector-valued function of a calar We indicate thi by writing f : R R 3 and think of f(t a the poition in pace of a particle

More information

Math 273 Solutions to Review Problems for Exam 1

Math 273 Solutions to Review Problems for Exam 1 Math 7 Solution to Review Problem for Exam True or Fale? Circle ONE anwer for each Hint: For effective tudy, explain why if true and give a counterexample if fale (a) T or F : If a b and b c, then a c

More information

Math 201 Lecture 17: Discontinuous and Periodic Functions

Math 201 Lecture 17: Discontinuous and Periodic Functions Math 2 Lecture 7: Dicontinuou and Periodic Function Feb. 5, 22 Many example here are taken from the textbook. he firt number in () refer to the problem number in the UA Cutom edition, the econd number

More information

HELICAL TUBES TOUCHING ONE ANOTHER OR THEMSELVES

HELICAL TUBES TOUCHING ONE ANOTHER OR THEMSELVES 15 TH INTERNATIONAL CONFERENCE ON GEOMETRY AND GRAPHICS 0 ISGG 1-5 AUGUST, 0, MONTREAL, CANADA HELICAL TUBES TOUCHING ONE ANOTHER OR THEMSELVES Peter MAYRHOFER and Dominic WALTER The Univerity of Innbruck,

More information

PID CONTROL. Presentation kindly provided by Dr Andy Clegg. Advanced Control Technology Consortium (ACTC)

PID CONTROL. Presentation kindly provided by Dr Andy Clegg. Advanced Control Technology Consortium (ACTC) PID CONTROL Preentation kindly provided by Dr Andy Clegg Advaned Control Tehnology Conortium (ACTC) Preentation Overview Introdution PID parameteriation and truture Effet of PID term Proportional, Integral

More information

Lecture 21. The Lovasz splitting-off lemma Topics in Combinatorial Optimization April 29th, 2004

Lecture 21. The Lovasz splitting-off lemma Topics in Combinatorial Optimization April 29th, 2004 18.997 Topic in Combinatorial Optimization April 29th, 2004 Lecture 21 Lecturer: Michel X. Goeman Scribe: Mohammad Mahdian 1 The Lovaz plitting-off lemma Lovaz plitting-off lemma tate the following. Theorem

More information

Tutorial 2 Euler Lagrange ( ) ( ) In one sentence: d dx

Tutorial 2 Euler Lagrange ( ) ( ) In one sentence: d dx Tutoril 2 Euler Lgrnge In one entene: d Fy = F d Importnt ft: ) The olution of EL eqution i lled eterml. 2) Minmum / Mimum of the "Mot Simple prolem" i lo n eterml. 3) It i eier to olve EL nd hek if we

More information

Advanced methods for ODEs and DAEs

Advanced methods for ODEs and DAEs Lecture : Implicit Runge Kutta method Bojana Roić, 9. April 7 What you need to know before thi lecture numerical integration: Lecture from ODE iterative olver: Lecture 5-8 from ODE 9. April 7 Bojana Roić

More information

IEOR 3106: Fall 2013, Professor Whitt Topics for Discussion: Tuesday, November 19 Alternating Renewal Processes and The Renewal Equation

IEOR 3106: Fall 2013, Professor Whitt Topics for Discussion: Tuesday, November 19 Alternating Renewal Processes and The Renewal Equation IEOR 316: Fall 213, Profeor Whitt Topic for Dicuion: Tueday, November 19 Alternating Renewal Procee and The Renewal Equation 1 Alternating Renewal Procee An alternating renewal proce alternate between

More information

Energy-Work Connection Integration Scheme for Nonholonomic Hamiltonian Systems

Energy-Work Connection Integration Scheme for Nonholonomic Hamiltonian Systems Commun. Theor. Phy. Beiing China 50 2008 pp. 1041 1046 Chinee Phyial Soiety Vol. 50 No. 5 November 15 2008 Energy-Wor Connetion Integration Sheme for Nonholonomi Hamiltonian Sytem WANG Xian-Jun 1 and FU

More information

INDIVIDUAL OVERTOPPING EVENTS AT DIKES

INDIVIDUAL OVERTOPPING EVENTS AT DIKES INDIVIDUAL OVEOPPING EVENS A DIKES Gij Boman 1, Jentje van der Meer 2, Gij offman 3, olger Shüttrumpf 4 and enk Jan Verhagen 5 eently, formulae have been derived for maximum flow depth and veloitie on

More information

DIFFERENTIAL EQUATIONS Laplace Transforms. Paul Dawkins

DIFFERENTIAL EQUATIONS Laplace Transforms. Paul Dawkins DIFFERENTIAL EQUATIONS Laplace Tranform Paul Dawkin Table of Content Preface... Laplace Tranform... Introduction... The Definition... 5 Laplace Tranform... 9 Invere Laplace Tranform... Step Function...

More information

Online Appendix for Managerial Attention and Worker Performance by Marina Halac and Andrea Prat

Online Appendix for Managerial Attention and Worker Performance by Marina Halac and Andrea Prat Online Appendix for Managerial Attention and Worker Performance by Marina Halac and Andrea Prat Thi Online Appendix contain the proof of our reult for the undicounted limit dicued in Section 2 of the paper,

More information

Nonlinear Single-Particle Dynamics in High Energy Accelerators

Nonlinear Single-Particle Dynamics in High Energy Accelerators Nonlinear Single-Particle Dynamic in High Energy Accelerator Part 6: Canonical Perturbation Theory Nonlinear Single-Particle Dynamic in High Energy Accelerator Thi coure conit of eight lecture: 1. Introduction

More information

Chapter #4 EEE Automatic Control

Chapter #4 EEE Automatic Control Spring 008 EEE 00 Chapter #4 EEE 00 Automatic Control Root Locu Chapter 4 /4 Spring 008 EEE 00 Introduction Repone depend on ytem and controller parameter > Cloed loop pole location depend on ytem and

More information

Chapter 4. The Laplace Transform Method

Chapter 4. The Laplace Transform Method Chapter 4. The Laplace Tranform Method The Laplace Tranform i a tranformation, meaning that it change a function into a new function. Actually, it i a linear tranformation, becaue it convert a linear combination

More information

To determine the biasing conditions needed to obtain a specific gain each stage must be considered.

To determine the biasing conditions needed to obtain a specific gain each stage must be considered. PHYSIS 56 Experiment 9: ommon Emitter Amplifier A. Introdution A ommon-emitter oltage amplifier will be tudied in thi experiment. You will inetigate the fator that ontrol the midfrequeny gain and the low-and

More information

Math 2374: Multivariable Calculus and Vector Analysis

Math 2374: Multivariable Calculus and Vector Analysis Math 2374: Multivariable Calulus and Vetor Analysis Part 26 Fall 2012 The integrals of multivariable alulus line integral of salar-valued funtion line integral of vetor fields surfae integral of salar-valued

More information

Analysis of Step Response, Impulse and Ramp Response in the Continuous Stirred Tank Reactor System

Analysis of Step Response, Impulse and Ramp Response in the Continuous Stirred Tank Reactor System ISSN: 454-50 Volume 0 - Iue 05 May 07 PP. 7-78 Analyi of Step Repone, Impule and Ramp Repone in the ontinuou Stirred Tank Reactor Sytem * Zohreh Khohraftar, Pirouz Derakhhi, (Department of hemitry, Science

More information

Question 1 Equivalent Circuits

Question 1 Equivalent Circuits MAE 40 inear ircuit Fall 2007 Final Intruction ) Thi exam i open book You may ue whatever written material you chooe, including your cla note and textbook You may ue a hand calculator with no communication

More information

A SIMPLE NASH-MOSER IMPLICIT FUNCTION THEOREM IN WEIGHTED BANACH SPACES. Sanghyun Cho

A SIMPLE NASH-MOSER IMPLICIT FUNCTION THEOREM IN WEIGHTED BANACH SPACES. Sanghyun Cho A SIMPLE NASH-MOSER IMPLICIT FUNCTION THEOREM IN WEIGHTED BANACH SPACES Sanghyun Cho Abtract. We prove a implified verion of the Nah-Moer implicit function theorem in weighted Banach pace. We relax the

More information

Rating Protocols in Online Communities

Rating Protocols in Online Communities Rating Protool in Online Communitie Yu Zhang, Jaeo Par, Mihaela van der Shaar 3 Abtrat Sutaining ooperation among elf-intereted agent i ritial for the proliferation of emerging online ommunitie. Providing

More information

CONTROL SYSTEMS. Chapter 2 : Block Diagram & Signal Flow Graphs GATE Objective & Numerical Type Questions

CONTROL SYSTEMS. Chapter 2 : Block Diagram & Signal Flow Graphs GATE Objective & Numerical Type Questions ONTOL SYSTEMS hapter : Bloc Diagram & Signal Flow Graph GATE Objective & Numerical Type Quetion Quetion 6 [Practice Boo] [GATE E 994 IIT-Kharagpur : 5 Mar] educe the ignal flow graph hown in figure below,

More information

Einstein's Energy Formula Must Be Revised

Einstein's Energy Formula Must Be Revised Eintein' Energy Formula Mut Be Reied Le Van Cuong uong_le_an@yahoo.om Information from a iene journal how that the dilation of time in Eintein peial relatie theory wa proen by the experiment of ientit

More information

Digital Control System

Digital Control System Digital Control Sytem Summary # he -tranform play an important role in digital control and dicrete ignal proceing. he -tranform i defined a F () f(k) k () A. Example Conider the following equence: f(k)

More information

Solving Differential Equations by the Laplace Transform and by Numerical Methods

Solving Differential Equations by the Laplace Transform and by Numerical Methods 36CH_PHCalter_TechMath_95099 3//007 :8 PM Page Solving Differential Equation by the Laplace Tranform and by Numerical Method OBJECTIVES When you have completed thi chapter, you hould be able to: Find the

More information

Position. If the particle is at point (x, y, z) on the curved path s shown in Fig a,then its location is defined by the position vector

Position. If the particle is at point (x, y, z) on the curved path s shown in Fig a,then its location is defined by the position vector 34 C HAPTER 1 KINEMATICS OF A PARTICLE 1 1.5 Curvilinear Motion: Rectangular Component Occaionall the motion of a particle can bet be decribed along a path that can be epreed in term of it,, coordinate.

More information

A consistent beam element formulation considering shear lag effect

A consistent beam element formulation considering shear lag effect OP Conferene Serie: aterial Siene and Engineering onitent beam element formulation onidering hear lag effet To ite thi artile: E Nouhi et al OP Conf. Ser.: ater. Si. Eng. View the artile online for update

More information

Singular perturbation theory

Singular perturbation theory Singular perturbation theory Marc R. Rouel June 21, 2004 1 Introduction When we apply the teady-tate approximation (SSA) in chemical kinetic, we typically argue that ome of the intermediate are highly

More information

CONTROL SYSTEMS, ROBOTICS AND AUTOMATION Vol. VIII Decoupling Control - M. Fikar

CONTROL SYSTEMS, ROBOTICS AND AUTOMATION Vol. VIII Decoupling Control - M. Fikar DECOUPLING CONTROL M. Fikar Department of Proce Control, Faculty of Chemical and Food Technology, Slovak Univerity of Technology in Bratilava, Radlinkého 9, SK-812 37 Bratilava, Slovakia Keyword: Decoupling:

More information

The Laplace Transform

The Laplace Transform The Laplace Tranform Prof. Siripong Potiuk Pierre Simon De Laplace 749-827 French Atronomer and Mathematician Laplace Tranform An extenion of the CT Fourier tranform to allow analyi of broader cla of CT

More information

THIN FILMS FLOW DRIVEN BY GRAVITY AND A SURFACE TENSION GRADIENT

THIN FILMS FLOW DRIVEN BY GRAVITY AND A SURFACE TENSION GRADIENT THIN FILMS FLO DRIVN BY GRAVITY AND A SURFAC TNSION GRADINT MILIA BORŞA The flow of a thin layer on a horizontal plate in the lbriation approximation i onidered. The flow i driven imltaneoly by gravity

More information

ON THE LAPLACE GENERALIZED CONVOLUTION TRANSFORM

ON THE LAPLACE GENERALIZED CONVOLUTION TRANSFORM Annale Univ. Si. Budapet., Set. Comp. 43 4) 33 36 ON THE LAPLACE GENERALIZED CONVOLUTION TRANSFORM Le Xuan Huy and Nguyen Xuan Thao Hanoi, Vietnam) Reeived February 5, 3; aepted Augut, 4) Abtrat. Several

More information

Feedback Control Systems (FCS)

Feedback Control Systems (FCS) Feedback Control Sytem (FCS) Lecture19-20 Routh-Herwitz Stability Criterion Dr. Imtiaz Huain email: imtiaz.huain@faculty.muet.edu.pk URL :http://imtiazhuainkalwar.weebly.com/ Stability of Higher Order

More information

Discover the answer to this question in this chapter.

Discover the answer to this question in this chapter. Erwan, whoe ma i 65 kg, goe Bungee jumping. He ha been in free-fall for 0 m when the bungee rope begin to tretch. hat will the maximum tretching of the rope be if the rope act like a pring with a 100 N/m

More information

PROBLEM = Knowing that P = 50 N, determine (a) the acceleration of block B, (b) the tension in the cord.

PROBLEM = Knowing that P = 50 N, determine (a) the acceleration of block B, (b) the tension in the cord. PROLEM 1.16 lock ha a ma of 40 k, and block ha a ma of 8 k. The coefficient of friction between all urface of contact are 0.0 m k = 0.15. Knowin that P = 50 N, determine (a) the acceleration of block,

More information

A Constraint Propagation Algorithm for Determining the Stability Margin. The paper addresses the stability margin assessment for linear systems

A Constraint Propagation Algorithm for Determining the Stability Margin. The paper addresses the stability margin assessment for linear systems A Contraint Propagation Algorithm for Determining the Stability Margin of Linear Parameter Circuit and Sytem Lubomir Kolev and Simona Filipova-Petrakieva Abtract The paper addree the tability margin aement

More information

CUSUM AND EWMA MULTI-CHARTS FOR DETECTING A RANGE OF MEAN SHIFTS

CUSUM AND EWMA MULTI-CHARTS FOR DETECTING A RANGE OF MEAN SHIFTS tatitia inia 17(007), 1139-1164 UUM AND EWMA MULTI-HART FR DETETING A RANGE F MEAN HIFT Dong Han 1, Fugee Tung, Xijian Hu 3 and Kaibo Wang 1 hanghai Jiao Tong Univerity Hong Kong Univerity of iene and

More information

Sidelobe-Suppression Technique Applied To Binary Phase Barker Codes

Sidelobe-Suppression Technique Applied To Binary Phase Barker Codes Journal of Engineering and Development, Vol. 16, No.4, De. 01 ISSN 1813-78 Sidelobe-Suppreion Tehnique Applied To Binary Phae Barker Code Aitant Profeor Dr. Imail M. Jaber Al-Mutaniriya Univerity College

More information

OLIGONUCLEOTIDE microarrays are widely used

OLIGONUCLEOTIDE microarrays are widely used Evolution Strategy with Greedy Probe Seletion Heuriti for the Non-Unique Oligonuleotide Probe Seletion Problem Lili Wang, Alioune Ngom, Robin Gra and Lui Rueda Abtrat In order to aurately meaure the gene

More information

Deepak Rajput

Deepak Rajput General quetion about eletron and hole: A 1a) What ditinguihe an eletron from a hole? An) An eletron i a fundamental partile wherea hole i jut a onept. Eletron arry negative harge wherea hole are onidered

More information

Passive Shimming by Eliminating Spherical Harmonics Coefficients of All Magnetic Field Components Generated by Correction Iron Pieces

Passive Shimming by Eliminating Spherical Harmonics Coefficients of All Magnetic Field Components Generated by Correction Iron Pieces Title Paive Shimming b Eliminating Spherial Harmoni Corretion Iron Piee Author()Noguhi, So; Kim, SeokBeom; Hahn, Seungong; Iwaa, CitationIEEE Tranation on Magneti, 50(2): 7014904 Iue Date 2014-02 Do URL

More information

Math 334 Fall 2011 Homework 10 Solutions

Math 334 Fall 2011 Homework 10 Solutions Nov. 5, Math 334 Fall Homework Solution Baic Problem. Expre the following function uing the unit tep function. And ketch their graph. < t < a g(t = < t < t > t t < b g(t = t Solution. a We

More information

Frames of Reference and Relative Velocity

Frames of Reference and Relative Velocity 1.5 frame of reference coordinate ytem relative to which motion i oberved Frame of Reference and Relative Velocity Air how provide element of both excitement and danger. When high-peed airplane fly in

More information

Period #8: Axial Load/Deformation in Indeterminate Members

Period #8: Axial Load/Deformation in Indeterminate Members ENGR:75 Meh. Def. odie Period #8: ial oad/deformation in Indeterminate Member. Review We are onidering aial member in tenion or ompreion in the linear, elati regime of behavior. Thu the magnitude of aial

More information

Sampling and the Discrete Fourier Transform

Sampling and the Discrete Fourier Transform Sampling and the Dicrete Fourier Tranform Sampling Method Sampling i mot commonly done with two device, the ample-and-hold (S/H) and the analog-to-digital-converter (ADC) The S/H acquire a CT ignal at

More information

ME 375 FINAL EXAM SOLUTIONS Friday December 17, 2004

ME 375 FINAL EXAM SOLUTIONS Friday December 17, 2004 ME 375 FINAL EXAM SOLUTIONS Friday December 7, 004 Diviion Adam 0:30 / Yao :30 (circle one) Name Intruction () Thi i a cloed book eamination, but you are allowed three 8.5 crib heet. () You have two hour

More information

EE Control Systems LECTURE 6

EE Control Systems LECTURE 6 Copyright FL Lewi 999 All right reerved EE - Control Sytem LECTURE 6 Updated: Sunday, February, 999 BLOCK DIAGRAM AND MASON'S FORMULA A linear time-invariant (LTI) ytem can be repreented in many way, including:

More information

Advanced Digital Signal Processing. Stationary/nonstationary signals. Time-Frequency Analysis... Some nonstationary signals. Time-Frequency Analysis

Advanced Digital Signal Processing. Stationary/nonstationary signals. Time-Frequency Analysis... Some nonstationary signals. Time-Frequency Analysis Advanced Digital ignal Proceing Prof. Nizamettin AYDIN naydin@yildiz.edu.tr Time-Frequency Analyi http://www.yildiz.edu.tr/~naydin 2 tationary/nontationary ignal Time-Frequency Analyi Fourier Tranform

More information

DYNAMIC MODELS FOR CONTROLLER DESIGN

DYNAMIC MODELS FOR CONTROLLER DESIGN DYNAMIC MODELS FOR CONTROLLER DESIGN M.T. Tham (996,999) Dept. of Chemical and Proce Engineering Newcatle upon Tyne, NE 7RU, UK.. INTRODUCTION The problem of deigning a good control ytem i baically that

More information

Hylleraas wavefunction for He. dv 2. ,! r 2. )dv 1. in the trial function. A simple trial function that does include r 12. is ) f (r 12.

Hylleraas wavefunction for He. dv 2. ,! r 2. )dv 1. in the trial function. A simple trial function that does include r 12. is ) f (r 12. Hylleraa wavefunction for He The reaon why the Hartree method cannot reproduce the exact olution i due to the inability of the Hartree wave-function to account for electron correlation. We know that the

More information

SIMON FRASER UNIVERSITY School of Engineering Science ENSC 320 Electric Circuits II. R 4 := 100 kohm

SIMON FRASER UNIVERSITY School of Engineering Science ENSC 320 Electric Circuits II. R 4 := 100 kohm SIMON FRASER UNIVERSITY School of Engineering Science ENSC 320 Electric Circuit II Solution to Aignment 3 February 2003. Cacaded Op Amp [DC&L, problem 4.29] An ideal op amp ha an output impedance of zero,

More information

EE C128 / ME C134 Problem Set 1 Solution (Fall 2010) Wenjie Chen and Jansen Sheng, UC Berkeley

EE C128 / ME C134 Problem Set 1 Solution (Fall 2010) Wenjie Chen and Jansen Sheng, UC Berkeley EE C28 / ME C34 Problem Set Solution (Fall 200) Wenjie Chen and Janen Sheng, UC Berkeley. (0 pt) BIBO tability The ytem h(t) = co(t)u(t) i not BIBO table. What i the region of convergence for H()? A bounded

More information

Methods for inferring regional surface-mass anomalies from Gravity Recovery and Climate Experiment (GRACE) measurements of time-variable gravity

Methods for inferring regional surface-mass anomalies from Gravity Recovery and Climate Experiment (GRACE) measurements of time-variable gravity JOURNAL OF GEOPHYSICAL RESEARCH, VOL. 107, NO. B9, 193, doi:10.109/001jb000576, 00 Method for inferring al urfae-ma anomalie from Gravity Reovery and Climate Experiment (GRACE) meaurement of time-variable

More information

Proof of Bernhard Riemann s Functional Equation using Gamma Function

Proof of Bernhard Riemann s Functional Equation using Gamma Function Journal of Mathematic and Statitic 4 (3): 8-85, 8 ISS 549-3644 8 Science Publication Proof of Bernhard Riemann Functional Equation uing Gamma Function Mbaïtiga Zacharie Department of Media Information

More information

Vector Integration. Line integral: Let F ( x y,

Vector Integration. Line integral: Let F ( x y, Vetor Integrtion Thi hpter tret integrtion in vetor field. It i the mthemti tht engineer nd phiit ue to deribe fluid flow, deign underwter trnmiion ble, eplin the flow of het in tr, nd put tellite in orbit.

More information

Control Systems Analysis and Design by the Root-Locus Method

Control Systems Analysis and Design by the Root-Locus Method 6 Control Sytem Analyi and Deign by the Root-Locu Method 6 1 INTRODUCTION The baic characteritic of the tranient repone of a cloed-loop ytem i cloely related to the location of the cloed-loop pole. If

More information

VTU NOTES QUESTION PAPERS NEWS RESULTS FORUMS Vector Integration

VTU NOTES QUESTION PAPERS NEWS RESULTS FORUMS Vector Integration www.boopr.om VTU NOTES QUESTION PAPERS NEWS RESULTS FORUMS Vetor Integrtion Thi hpter tret integrtion in vetor field. It i the mthemti tht engineer nd phiit ue to deribe fluid flow, deign underwter trnmiion

More information

Calculation of the temperature of boundary layer beside wall with time-dependent heat transfer coefficient

Calculation of the temperature of boundary layer beside wall with time-dependent heat transfer coefficient Ŕ periodica polytechnica Mechanical Engineering 54/1 21 15 2 doi: 1.3311/pp.me.21-1.3 web: http:// www.pp.bme.hu/ me c Periodica Polytechnica 21 RESERCH RTICLE Calculation of the temperature of boundary

More information

The Laplace Transform , Haynes Miller and Jeremy Orloff

The Laplace Transform , Haynes Miller and Jeremy Orloff The Laplace Tranform 8.3, Hayne Miller and Jeremy Orloff Laplace tranform baic: introduction An operator take a function a input and output another function. A tranform doe the ame thing with the added

More information

MATHEMATICAL MODELS OF PHYSICAL SYSTEMS

MATHEMATICAL MODELS OF PHYSICAL SYSTEMS hapter MATHEMATIAL MODELS OF PHYSIAL SYSTEMS.. INTODUTION For the analyi and deign of control ytem, we need to formulate a mathematical decription of the ytem. The proce of obtaining the deired mathematical

More information

CHAPTER 8 OBSERVER BASED REDUCED ORDER CONTROLLER DESIGN FOR LARGE SCALE LINEAR DISCRETE-TIME CONTROL SYSTEMS

CHAPTER 8 OBSERVER BASED REDUCED ORDER CONTROLLER DESIGN FOR LARGE SCALE LINEAR DISCRETE-TIME CONTROL SYSTEMS CHAPTER 8 OBSERVER BASED REDUCED ORDER CONTROLLER DESIGN FOR LARGE SCALE LINEAR DISCRETE-TIME CONTROL SYSTEMS 8.1 INTRODUCTION 8.2 REDUCED ORDER MODEL DESIGN FOR LINEAR DISCRETE-TIME CONTROL SYSTEMS 8.3

More information

Econ 455 Answers - Problem Set 4. where. ch ch ch ch ch ch ( ) ( ) us us ch ch us ch. (world price). Combining the above two equations implies: 40P

Econ 455 Answers - Problem Set 4. where. ch ch ch ch ch ch ( ) ( ) us us ch ch us ch. (world price). Combining the above two equations implies: 40P Fall 011 Eon 455 Harvey Lapan Eon 455 Anwer - roblem et 4 1. Conider the ae of two large ountrie: U: emand = 300 4 upply = 6 where h China: emand = 300 10 ; upply = 0 h where (a) Find autarky prie: U:

More information

Root Locus Contents. Root locus, sketching algorithm. Root locus, examples. Root locus, proofs. Root locus, control examples

Root Locus Contents. Root locus, sketching algorithm. Root locus, examples. Root locus, proofs. Root locus, control examples Root Locu Content Root locu, ketching algorithm Root locu, example Root locu, proof Root locu, control example Root locu, influence of zero and pole Root locu, lead lag controller deign 9 Spring ME45 -

More information

MATEMATIK Datum: Tid: eftermiddag. A.Heintz Telefonvakt: Anders Martinsson Tel.:

MATEMATIK Datum: Tid: eftermiddag. A.Heintz Telefonvakt: Anders Martinsson Tel.: MATEMATIK Datum: 20-08-25 Tid: eftermiddag GU, Chalmer Hjälpmedel: inga A.Heintz Telefonvakt: Ander Martinon Tel.: 073-07926. Löningar till tenta i ODE och matematik modellering, MMG5, MVE6. Define what

More information

Chapter 1 Basic Description of Laser Diode Dynamics by Spatially Averaged Rate Equations: Conditions of Validity

Chapter 1 Basic Description of Laser Diode Dynamics by Spatially Averaged Rate Equations: Conditions of Validity Chapter 1 Baic Decription of Laer Diode Dynamic by Spatially Averaged Rate Equation: Condition of Validity A laer diode i a device in which an electric current input i converted to an output of photon.

More information

Physics 218: Exam 1. Class of 2:20pm. February 14th, You have the full class period to complete the exam.

Physics 218: Exam 1. Class of 2:20pm. February 14th, You have the full class period to complete the exam. Phyic 218: Exam 1 Cla of 2:20pm February 14th, 2012. Rule of the exam: 1. You have the full cla period to complete the exam. 2. Formulae are provided on the lat page. You may NOT ue any other formula heet.

More information

List coloring hypergraphs

List coloring hypergraphs Lit coloring hypergraph Penny Haxell Jacque Vertraete Department of Combinatoric and Optimization Univerity of Waterloo Waterloo, Ontario, Canada pehaxell@uwaterloo.ca Department of Mathematic Univerity

More information

Throttle Actuator Swapping Modularity Design for Idle Speed Control

Throttle Actuator Swapping Modularity Design for Idle Speed Control 9 merican ontrol onference Hyatt Regency Riverfront, St. Loui, MO, US June -, 9 ThB.4 Throttle ctuator Swapping Modularity Deign for Idle Speed ontrol Shifang Li, Melih akmakci, Ilya V. Kolmanovky and.

More information

Vector-Space Methods and Kirchhoff Graphs for Reaction Networks

Vector-Space Methods and Kirchhoff Graphs for Reaction Networks Vector-Space Method and Kirchhoff Graph for Reaction Network Joeph D. Fehribach Fuel Cell Center WPI Mathematical Science and Chemical Engineering 00 Intitute Rd. Worceter, MA 0609-2247 Thi article preent

More information

Name: Solutions Exam 3

Name: Solutions Exam 3 Intruction. Anwer each of the quetion on your own paper. Put your name on each page of your paper. Be ure to how your work o that partial credit can be adequately aeed. Credit will not be given for anwer

More information

ME 375 EXAM #1 Tuesday February 21, 2006

ME 375 EXAM #1 Tuesday February 21, 2006 ME 375 EXAM #1 Tueday February 1, 006 Diviion Adam 11:30 / Savran :30 (circle one) Name Intruction (1) Thi i a cloed book examination, but you are allowed one 8.5x11 crib heet. () You have one hour to

More information