FREQUENCY RESPONSE FUNCTION ANALYSIS OF A MULTI-DEGREE-OF-FREEDOM SYSTEM WITH ENFORCED MOTION

Size: px
Start display at page:

Download "FREQUENCY RESPONSE FUNCTION ANALYSIS OF A MULTI-DEGREE-OF-FREEDOM SYSTEM WITH ENFORCED MOTION"

Transcription

1 REQUENCY RESPONSE UNCON ANALYSS O A UL-DEGREE-O-REEDO SYSE WH ENORCED OON By om rvine tomirvine@aol.com August 6, Variables f Q u u u f i i ass matri Stiness matri Applie forces orces at riven noes orces at free noes entity matri ransformation matri Eigenvector matri Displacement vector Displacements at riven noes Displacements at free noes Ecitation frequency Natural frequency for moe i Damping ratio for moe i

2 he equation of motion for a multi-egree-of-freeom system is [ ][u] [][u] () u [ u] () uf Partition the matrices an vectors as follos f f u uf f f u uf f () he equations of motions for enforce isplacement an acceleration are given in Appenices A an B, respectively. Create a transformation matri such that u u uf u (4) (5) f f u u f f u u f (6) Premultiply by, f f u u f f u u f (7)

3 APPENDX A Enforce Acceleration Again, the partitione equation of motion is f f u u f f u u f (A-) ransform the equation of motion to uncouple the stiness matri so that the resulting stiness matri is ˆ ˆ (A-) f f (A-) f f f (A-4) f f f f (A-5)

4 f f f f f f f f (A-6) (A-7) Let (A-8) f f f f ˆ ˆ (A-9) f (A-) f (A-) f (A-) (A-) 4

5 5 f f ˆ (A-4) ˆ (A-5) f f (A-6) By similarity, the transforme mass matri is f f f f (A-7) f ˆ (A-8) f f ˆ (A-9) f f ˆ (A-) ˆ u u ˆ ˆ u u (A-)

6 u u ˆ u ˆ (A-) he equation of motion is thus u ˆ u ˆ u (A-) No solve the generalize eigenvalue problem. Let Q be the eigenvector matri. Let u Q (A-4) Q ˆ Q ˆ u (A-5) Premultiply by Q to ecouple the equations of motion. Q Q Q ˆ Q Q ˆ u (A-6) Assume that the applie forces are all zero. hus the only ecitation is the enforce acceleration. Q Q Q ˆ Q Q u (A-7) 6

7 Assume that the applie forces are all zero. hus the only ecitation is the enforce acceleration. Q Q Q ˆ Q Q u (A-8) ~ Q Q (A-9) ~ Q ˆ Q (A-) he ecouple equations of motion ith an ae moal amping matri C ~ are ~ C ~ ~ Q u (A-) Note that ~ is the ientity matri is a iagonal matri C ~ is a iagonal matri containing the terms ii ~ is a iagonal matri containing the terms i hus, i ii, i i, i Q,iu (A-) Perform a steay-state analysis. Represent the enforce motion via a ourier transform. u Û ep( jt) (A-) Assume N ep(j t) (A-4) 7

8 By substitution, Û ep(j t) - N ep(j t) j N ep(j t) N ep(j t) Q,i ii,i i,i,i (A-5) - N,i jii N,i i N,i Q,i Û (A-6) j ii i N,i Q,i Û (A-7) i jii N,i Q,i Û (A-8) N,i i Q i j i Û (A-9) he final acceleration frequency response functions are foun via U Q N (A-4) U U Uf U (A-4) f (A-4) 8

9 APPENDX B Enforce Acceleration Eample Equation of otion m m y m igure B-. Consier the system in igure B-. Assign the values in able B-. able B-. Parameters Variable m Value. g m. g m. g *, N/m, N/m, N/m he value of m is arbitrary because its motion ill be enforce. urthermore, assume that each moe has a amping value of 5%. 9

10 he folloing equations of motion are erive in Appeni C for the system in igure B-. m m m (B-),,,, 5,,,, 4, (B-) R Analysis he analysis is performe via atlab script: enforce_acceleration_frf.m. >> enforce_acceleration_frf enforce_acceleration_frf.m ver. August 6, by om rvine Enter the units system =English =metric Assume symmetric mass an stiness matrices. mass unit = g stiness unit = N/m Select file input metho =file preloae into atlab =Ecel file ass atri Enter the matri name: mmm Stiness atri Enter the matri name: nput atrices

11 mass = sti = Select moal amping input metho =uniform amping for all moes =amping vector Enter amping ratio.5 number of ofs = Enter the enforce acceleration of = =.e+5 * Natural requencies No. f(hz). 4.9e

12 oes Shapes (column format) oeshapes = =.. = = Natural requencies No. f(hz) oes Shapes (column format) oeshapes = Participation actors part =.756.8

13 RANS (G/G) RANSSSBLY AGNUDE of of of... REQUENCY (Hz) igure B-.

14 APPENDX C ( - ) m m ( - ) ( - ) m (- ) (- ) - m ( ) m m ( - ) ( - ) m (- ) (- ) ( - ) ( - ) m ( ) ( - ) ) m ( - ) ) m ( - ) ( - ) m (- ) (- ) m 4

Multi-Degree-of-Freedom System Response to Multipoint Base Excitation

Multi-Degree-of-Freedom System Response to Multipoint Base Excitation lti-degree-of-freeo Syste Response to ltipoint Base Ecitation By o Irvine Eail: to@vibrationata.co October 6, Introction, J Figre. ( - ( + Figre. he free-boy iagra is given in Figre. he syste has a CG

More information

Modal Transient Analysis of a Beam with Enforced Motion via a Ramp Invariant Digital Recursive Filtering Relationship

Modal Transient Analysis of a Beam with Enforced Motion via a Ramp Invariant Digital Recursive Filtering Relationship oal ransient Analysis of a Beam ith Enforce otion via a Ramp nvariant Digital Recrsive iltering Relationship By om rvine Email: tomirvine@aol.com December, Variables f f ass matrix Stiness matrix Applie

More information

COMPONENT MODE SYNTHESIS, FIXED-INTERFACE MODEL Revision A

COMPONENT MODE SYNTHESIS, FIXED-INTERFACE MODEL Revision A COMPONEN MODE SYNHESS, FXED-NERFACE MODEL Revision A By o rvine Eail: toirvine@aol.co February, ntroduction Coponent ode synthesis is a ethod for analyzing the dynaic behavior of a syste consisting of

More information

AN INTRODUCTION TO AIRCRAFT WING FLUTTER Revision A

AN INTRODUCTION TO AIRCRAFT WING FLUTTER Revision A AN INTRODUCTION TO AIRCRAFT WIN FLUTTER Revision A By Tom Irvine Email: tomirvine@aol.com January 8, 000 Introuction Certain aircraft wings have experience violent oscillations uring high spee flight.

More information

Summary of the Class before Exam1

Summary of the Class before Exam1 uar o the lass beore Ea Builing a FEA Moel Ingreients o a FEA sotware pacage teps in builing a FEA oel Moeling consierations D pring/truss Eleents ingle D spring/truss eleent Global stiness atri; properties

More information

TWO-STAGE ISOLATION FOR HARMONIC BASE EXCITATION Revision A. By Tom Irvine February 25, 2008

TWO-STAGE ISOLATION FOR HARMONIC BASE EXCITATION Revision A. By Tom Irvine   February 25, 2008 TWO-STAGE ISOLATION FOR HARMONIC BASE EXCITATION Revision A By Tom Irvine Email: tomirvine@aol.com February 5, 008 Introduction Consider a base plate mass m and an avionics mass m modeled as two-degree-of-freedom.

More information

SHOCK RESPONSE OF MULTI-DEGREE-OF-FREEDOM SYSTEMS Revision F By Tom Irvine May 24, 2010

SHOCK RESPONSE OF MULTI-DEGREE-OF-FREEDOM SYSTEMS Revision F By Tom Irvine   May 24, 2010 SHOCK RESPONSE OF MULTI-DEGREE-OF-FREEDOM SYSTEMS Revision F By Tom Irvine Email: tomirvine@aol.com May 4, 010 Introduction The primary purpose of this tutorial is to present the Modal Transient method

More information

EFFECTIVE MODAL MASS & MODAL PARTICIPATION FACTORS Revision I

EFFECTIVE MODAL MASS & MODAL PARTICIPATION FACTORS Revision I EFFECTIVE MODA MASS & MODA PARTICIPATION FACTORS Revision I B To Irvine Eail: to@vibrationdata.co Deceber, 5 Introduction The effective odal ass provides a ethod for judging the significance of a vibration

More information

Diagonalization of Matrices Dr. E. Jacobs

Diagonalization of Matrices Dr. E. Jacobs Diagonalization of Matrices Dr. E. Jacobs One of the very interesting lessons in this course is how certain algebraic techniques can be use to solve ifferential equations. The purpose of these notes is

More information

a) Identify the kinematical constraint relating motions Y and X. The cable does NOT slip on the pulley. For items (c) & (e-f-g) use

a) Identify the kinematical constraint relating motions Y and X. The cable does NOT slip on the pulley. For items (c) & (e-f-g) use EAMPLE PROBLEM for MEEN 363 SPRING 6 Objectives: a) To erive EOMS of a DOF system b) To unerstan concept of static equilibrium c) To learn the correct usage of physical units (US system) ) To calculate

More information

Optimal LQR Control of Structures using Linear Modal Model

Optimal LQR Control of Structures using Linear Modal Model Optimal LQR Control of Structures using Linear Moal Moel I. Halperin,2, G. Agranovich an Y. Ribakov 2 Department of Electrical an Electronics Engineering 2 Department of Civil Engineering Faculty of Engineering,

More information

G j dq i + G j. q i. = a jt. and

G j dq i + G j. q i. = a jt. and Lagrange Multipliers Wenesay, 8 September 011 Sometimes it is convenient to use reunant coorinates, an to effect the variation of the action consistent with the constraints via the metho of Lagrange unetermine

More information

CRAIG-BAMPTON METHOD FOR A TWO COMPONENT SYSTEM Revision C

CRAIG-BAMPTON METHOD FOR A TWO COMPONENT SYSTEM Revision C CRAIG-BAMPON MEHOD FOR A WO COMPONEN SYSEM Revision C By om Irvine Email: tom@vibrationdata.com May, 03 Introduction he Craig-Bampton method is method for reducing the size of a finite element model, particularly

More information

Chapter 9 Method of Weighted Residuals

Chapter 9 Method of Weighted Residuals Chapter 9 Metho of Weighte Resiuals 9- Introuction Metho of Weighte Resiuals (MWR) is an approimate technique for solving bounary value problems. It utilizes a trial functions satisfying the prescribe

More information

Chapter 14 Truss Analysis Using the Stiffness Method

Chapter 14 Truss Analysis Using the Stiffness Method Chapter 14 Truss Analsis Using the Stiffness Method Structural Mechanics 2 ept of Arch Eng, Ajou Univ Outline undamentals of the stiffness method Member stiffness matri isplacement and force transformation

More information

Cable holds system BUT at t=0 it breaks!! θ=20. Copyright Luis San Andrés (2010) 1

Cable holds system BUT at t=0 it breaks!! θ=20. Copyright Luis San Andrés (2010) 1 EAMPLE # for MEEN 363 SPRING 6 Objectives: a) To erive EOMS of a DOF system b) To unerstan concept of static equilibrium c) To learn the correct usage of physical units (US system) ) To calculate natural

More information

EC5555 Economics Masters Refresher Course in Mathematics September 2013

EC5555 Economics Masters Refresher Course in Mathematics September 2013 EC5555 Economics Masters Reresher Course in Mathematics September 3 Lecture 5 Unconstraine Optimization an Quaratic Forms Francesco Feri We consier the unconstraine optimization or the case o unctions

More information

Optimum design of tuned mass damper systems for seismic structures

Optimum design of tuned mass damper systems for seismic structures Earthquake Resistant Engineering Structures VII 175 Optimum esign of tune mass amper systems for seismic structures I. Abulsalam, M. Al-Janabi & M. G. Al-Taweel Department of Civil Engineering, Faculty

More information

The numbers inside a matrix are called the elements or entries of the matrix.

The numbers inside a matrix are called the elements or entries of the matrix. Chapter Review of Matries. Definitions A matrix is a retangular array of numers of the form a a a 3 a n a a a 3 a n a 3 a 3 a 33 a 3n..... a m a m a m3 a mn We usually use apital letters (for example,

More information

and from it produce the action integral whose variation we set to zero:

and from it produce the action integral whose variation we set to zero: Lagrange Multipliers Monay, 6 September 01 Sometimes it is convenient to use reunant coorinates, an to effect the variation of the action consistent with the constraints via the metho of Lagrange unetermine

More information

COMPONENT mode synthesis (CMS) methods have been

COMPONENT mode synthesis (CMS) methods have been AIAA JOURNAL Vol. 56, No. 1, January 018 Consiering the Higher-Orer Effect of Resiual Moes in the Craig Bampton Metho Jaemin Kim, Seung-Hwan Boo, an Phill-Seung Lee Korea Avance Institute of Science an

More information

Computed Tomography Notes, Part 1. The equation that governs the image intensity in projection imaging is:

Computed Tomography Notes, Part 1. The equation that governs the image intensity in projection imaging is: Noll 3 CT Notes : Page Compute Tomograph Notes Part Challenges with Projection X-ra Sstems The equation that governs the image intensit in projection imaging is: z I I ep µ z Projection -ra sstems are

More information

Reduction in number of dofs

Reduction in number of dofs Reduction in number of dofs Reduction in the number of dof to represent a structure reduces the size of matrices and, hence, computational cost. Because a subset of the original dof represent the whole

More information

Rank, Trace, Determinant, Transpose an Inverse of a Matrix Let A be an n n square matrix: A = a11 a1 a1n a1 a an a n1 a n a nn nn where is the jth col

Rank, Trace, Determinant, Transpose an Inverse of a Matrix Let A be an n n square matrix: A = a11 a1 a1n a1 a an a n1 a n a nn nn where is the jth col Review of Linear Algebra { E18 Hanout Vectors an Their Inner Proucts Let X an Y be two vectors: an Their inner prouct is ene as X =[x1; ;x n ] T Y =[y1; ;y n ] T (X; Y ) = X T Y = x k y k k=1 where T an

More information

19 Eigenvalues, Eigenvectors, Ordinary Differential Equations, and Control

19 Eigenvalues, Eigenvectors, Ordinary Differential Equations, and Control 19 Eigenvalues, Eigenvectors, Orinary Differential Equations, an Control This section introuces eigenvalues an eigenvectors of a matrix, an iscusses the role of the eigenvalues in etermining the behavior

More information

FREE VIBRATION WITH COULOMB DAMPING Revision A

FREE VIBRATION WITH COULOMB DAMPING Revision A By Tom Irvine Email: tomirvine@aol.com June 5, 010 FREE VIBRATION WITH COULOMB DAMPING Revision A g m F sgn () & Figure 1. Coulomb damping is dry friction damping. Consider the free vibration response

More information

Commun Nonlinear Sci Numer Simulat

Commun Nonlinear Sci Numer Simulat Commun Nonlinear Sci Numer Simulat 14 (2009) 3901 3913 Contents lists available at ScienceDirect Commun Nonlinear Sci Numer Simulat journal homepage: www.elsevier.com/locate/cnsns Dynamics of a ring network

More information

Introduction Basic principles Finite element formulation Nonlinear algorithms Validation & examples Oofelie::MEMS, driven by SAMCEF Field Perspectives

Introduction Basic principles Finite element formulation Nonlinear algorithms Validation & examples Oofelie::MEMS, driven by SAMCEF Field Perspectives Non linear behavior of electrostatically actuate micro-structures Dr. Ir. Stéphane Paquay, Open Engineering SA Dr. Ir. Véronique Rochus, ULg (LTAS-VIS) Dr. Ir. Stefanie Gutschmit, ULg (LTAS-VIS) Outline

More information

Designing Information Devices and Systems II Fall 2017 Note Theorem: Existence and Uniqueness of Solutions to Differential Equations

Designing Information Devices and Systems II Fall 2017 Note Theorem: Existence and Uniqueness of Solutions to Differential Equations EECS 6B Designing Information Devices an Systems II Fall 07 Note 3 Secon Orer Differential Equations Secon orer ifferential equations appear everywhere in the real worl. In this note, we will walk through

More information

Gyroscopic matrices of the right beams and the discs

Gyroscopic matrices of the right beams and the discs Titre : Matrice gyroscopique es poutres roites et es i[...] Date : 15/07/2014 Page : 1/16 Gyroscopic matrices of the right beams an the iscs Summary: This ocument presents the formulation of the matrices

More information

'HVLJQ &RQVLGHUDWLRQ LQ 0DWHULDO 6HOHFWLRQ 'HVLJQ 6HQVLWLYLW\,1752'8&7,21

'HVLJQ &RQVLGHUDWLRQ LQ 0DWHULDO 6HOHFWLRQ 'HVLJQ 6HQVLWLYLW\,1752'8&7,21 Large amping in a structural material may be either esirable or unesirable, epening on the engineering application at han. For example, amping is a esirable property to the esigner concerne with limiting

More information

Solutions for Homework #8. Landing gear

Solutions for Homework #8. Landing gear Solutions or Homewor #8 PROBEM. (P. 9 on page 78 in the note) An airplane is modeled as a beam with masses as shown below: m m m m π [rad/sec] anding gear m m.5 Find the stiness and mass matrices. Find

More information

Optimal Variable-Structure Control Tracking of Spacecraft Maneuvers

Optimal Variable-Structure Control Tracking of Spacecraft Maneuvers Optimal Variable-Structure Control racking of Spacecraft Maneuvers John L. Crassiis 1 Srinivas R. Vaali F. Lanis Markley 3 Introuction In recent years, much effort has been evote to the close-loop esign

More information

EFFECTIVE MODAL MASS & MODAL PARTICIPATION FACTORS Revision F

EFFECTIVE MODAL MASS & MODAL PARTICIPATION FACTORS Revision F EFFECTIVE MODA MASS & MODA PARTICIPATION FACTORS Revision F By Tom Irvine Email: tomirvine@aol.com March 9, 1 Introduction The effective modal mass provides a method for judging the significance of a vibration

More information

LAB 11: FREE, DAMPED, AND FORCED OSCILLATIONS

LAB 11: FREE, DAMPED, AND FORCED OSCILLATIONS 175 Name ate Partners LAB 11: REE, AMPE, AN ORCE OSCILLATIONS OBJECTIVES To understand the free oscillations of a mass and spring. To understand how energy is shared between potential and kinetic energy.

More information

Raising & Lowering; Creating & Annihilating

Raising & Lowering; Creating & Annihilating Raising & Lowering; Creating & Annihilating Frank Riou The purpose of this tutorial is to illustrate uses of the creation (raising) an annihilation (lowering) operators in the complementary coorinate an

More information

Viscous Dampers for Optimal Reduction in Seismic Response

Viscous Dampers for Optimal Reduction in Seismic Response Viscous Dampers for Optimal Reuction in Seismic Response Navin Prakash Verma (ABSRA) o moel issipation of energy in vibrating civil structures, existence of viscous amping is commonly assume primarily

More information

State space transformations

State space transformations Capitolo 0. INTRODUCTION. State space transformations Let us consider the following linear time-invariant system: { ẋ(t) = A(t)+Bu(t) y(t) = C(t)+Du(t) () A state space transformation can be obtained using

More information

Calculus in the AP Physics C Course The Derivative

Calculus in the AP Physics C Course The Derivative Limits an Derivatives Calculus in the AP Physics C Course The Derivative In physics, the ieas of the rate change of a quantity (along with the slope of a tangent line) an the area uner a curve are essential.

More information

Design of Structures for Earthquake Resistance

Design of Structures for Earthquake Resistance NATIONAL TECHNICAL UNIVERSITY OF ATHENS Design of Structures for Earthquake Resistance Basic principles Ioannis N. Psycharis Lecture 3 MDOF systems Equation of motion M u + C u + K u = M r x g(t) where:

More information

Formulas From Calculus

Formulas From Calculus Formulas You Shoul Memorize (an I o mean Memorize!) S 997 Pat Rossi Formulas From Calculus. [sin ()] = cos () 2. [cos ()] = sin () 3. [tan ()] = sec2 () 4. [cot ()] = csc2 () 5. [sec ()] = sec () tan ()

More information

Placement and tuning of resonance dampers on footbridges

Placement and tuning of resonance dampers on footbridges Downloae from orbit.tu.k on: Jan 17, 19 Placement an tuning of resonance ampers on footbriges Krenk, Steen; Brønen, Aners; Kristensen, Aners Publishe in: Footbrige 5 Publication ate: 5 Document Version

More information

Lecture 3: Development of the Truss Equations.

Lecture 3: Development of the Truss Equations. 3.1 Derivation of the Stiffness Matrix for a Bar in Local Coorinates. In 3.1 we will perform Steps 1-4 of Logan s FEM. Derive the truss element equations. 1. Set the element type. 2. Select a isplacement

More information

UNDERSTANDING INTEGRATION

UNDERSTANDING INTEGRATION UNDERSTANDING INTEGRATION Dear Reaer The concept of Integration, mathematically speaking, is the "Inverse" of the concept of result, the integration of, woul give us back the function f(). This, in a way,

More information

Formulation of statistical mechanics for chaotic systems

Formulation of statistical mechanics for chaotic systems PRAMANA c Inian Acaemy of Sciences Vol. 72, No. 2 journal of February 29 physics pp. 315 323 Formulation of statistical mechanics for chaotic systems VISHNU M BANNUR 1, an RAMESH BABU THAYYULLATHIL 2 1

More information

Implicit Differentiation

Implicit Differentiation Implicit Differentiation Thus far, the functions we have been concerne with have been efine explicitly. A function is efine explicitly if the output is given irectly in terms of the input. For instance,

More information

Hyperbolic Systems of Equations Posed on Erroneous Curved Domains

Hyperbolic Systems of Equations Posed on Erroneous Curved Domains Hyperbolic Systems of Equations Pose on Erroneous Curve Domains Jan Norström a, Samira Nikkar b a Department of Mathematics, Computational Mathematics, Linköping University, SE-58 83 Linköping, Sween (

More information

ECE 422 Power System Operations & Planning 7 Transient Stability

ECE 422 Power System Operations & Planning 7 Transient Stability ECE 4 Power System Operations & Planning 7 Transient Stability Spring 5 Instructor: Kai Sun References Saaat s Chapter.5 ~. EPRI Tutorial s Chapter 7 Kunur s Chapter 3 Transient Stability The ability of

More information

OBSERVER/KALMAN AND SUBSPACE IDENTIFICATION OF THE UBC BENCHMARK STRUCTURAL MODEL

OBSERVER/KALMAN AND SUBSPACE IDENTIFICATION OF THE UBC BENCHMARK STRUCTURAL MODEL OBSERVER/KALMAN AND SUBSPACE IDENTIFICATION OF THE UBC BENCHMARK STRUCTURAL MODEL Dionisio Bernal, Burcu Gunes Associate Proessor, Graduate Student Department o Civil and Environmental Engineering, 7 Snell

More information

A Sketch of Menshikov s Theorem

A Sketch of Menshikov s Theorem A Sketch of Menshikov s Theorem Thomas Bao March 14, 2010 Abstract Let Λ be an infinite, locally finite oriente multi-graph with C Λ finite an strongly connecte, an let p

More information

This section outlines the methodology used to calculate the wave load and wave wind load values.

This section outlines the methodology used to calculate the wave load and wave wind load values. COMPUTERS AND STRUCTURES, INC., JUNE 2014 AUTOMATIC WAVE LOADS TECHNICAL NOTE CALCULATION O WAVE LOAD VALUES This section outlines the methoology use to calculate the wave loa an wave win loa values. Overview

More information

Computed Tomography Notes, Part 1. The equation that governs the image intensity in projection imaging is:

Computed Tomography Notes, Part 1. The equation that governs the image intensity in projection imaging is: Noll 6 CT Notes : Page Compute Tomograph Notes Part Challenges with Projection X-ra Sstems The equation that governs the image intensit in projection imaging is: z I I ep μ z Projection -ra sstems are

More information

Damage identification based on incomplete modal data and constrained nonlinear multivariable function

Damage identification based on incomplete modal data and constrained nonlinear multivariable function Journal of Physics: Conference Series PAPER OPEN ACCESS Damage ientification base on incomplete moal ata an constraine nonlinear multivariable function To cite this article: S S Kourehli 215 J. Phys.:

More information

LAB 11: FREE, DAMPED, AND FORCED OSCILLATIONS

LAB 11: FREE, DAMPED, AND FORCED OSCILLATIONS Lab 11 ree, amped, and orced Oscillations 135 Name ate Partners OBJECTIVES LAB 11: REE, AMPE, AN ORCE OSCILLATIONS To understand the free oscillations of a mass and spring. To understand how energy is

More information

Experimental Robustness Study of a Second-Order Sliding Mode Controller

Experimental Robustness Study of a Second-Order Sliding Mode Controller Experimental Robustness Stuy of a Secon-Orer Sliing Moe Controller Anré Blom, Bram e Jager Einhoven University of Technology Department of Mechanical Engineering P.O. Box 513, 5600 MB Einhoven, The Netherlans

More information

3. Mathematical Properties of MDOF Systems

3. Mathematical Properties of MDOF Systems 3. Mathematical Properties of MDOF Systems 3.1 The Generalized Eigenvalue Problem Recall that the natural frequencies ω and modes a are found from [ - ω 2 M + K ] a = 0 or K a = ω 2 M a Where M and K are

More information

Lecture 27: More on Rotational Kinematics

Lecture 27: More on Rotational Kinematics Lecture 27: More on Rotational Kinematics Let s work out the kinematics of rotational motion if α is constant: dω α = 1 2 α dω αt = ω ω ω = αt + ω ( t ) dφ α + ω = dφ t 2 α + ωo = φ φo = 1 2 = t o 2 φ

More information

Using Quasi-Newton Methods to Find Optimal Solutions to Problematic Kriging Systems

Using Quasi-Newton Methods to Find Optimal Solutions to Problematic Kriging Systems Usin Quasi-Newton Methos to Fin Optimal Solutions to Problematic Kriin Systems Steven Lyster Centre for Computational Geostatistics Department of Civil & Environmental Enineerin University of Alberta Solvin

More information

JUST THE MATHS UNIT NUMBER 9.9. MATRICES 9 (Modal & spectral matrices) A.J.Hobson

JUST THE MATHS UNIT NUMBER 9.9. MATRICES 9 (Modal & spectral matrices) A.J.Hobson JUST THE MATHS UNIT NUMBER 9.9 MATRICES 9 (Modal & spectral matrices) by A.J.Hobson 9.9. Assumptions and definitions 9.9.2 Diagonalisation of a matrix 9.9.3 Exercises 9.9.4 Answers to exercises UNIT 9.9

More information

Section The Chain Rule and Implicit Differentiation with Application on Derivative of Logarithm Functions

Section The Chain Rule and Implicit Differentiation with Application on Derivative of Logarithm Functions Section 3.4-3.6 The Chain Rule an Implicit Differentiation with Application on Derivative of Logarithm Functions Ruipeng Shen September 3r, 5th Ruipeng Shen MATH 1ZA3 September 3r, 5th 1 / 3 The Chain

More information

Shape functions in 1D

Shape functions in 1D MAE 44 & CIV 44 Introuction to Finite Elements Reaing assignment: ecture notes, ogan.,. Summary: Prof. Suvranu De Shape functions in D inear shape functions in D Quaratic an higher orer shape functions

More information

Spin Dynamics Basic Theory Operators. Richard Green SBD Research Group Department of Chemistry

Spin Dynamics Basic Theory Operators. Richard Green SBD Research Group Department of Chemistry Spin Dynamics Basic Theory Operators Richard Green SBD Research Group Department of Chemistry Objective of this session Introduce you to operators used in quantum mechanics Achieve this by looking at:

More information

OPG S. LIST OF FORMULAE [ For Class XII ] OP GUPTA. Electronics & Communications Engineering. Indira Award Winner

OPG S. LIST OF FORMULAE [ For Class XII ] OP GUPTA. Electronics & Communications Engineering. Indira Award Winner OPG S MAHEMAICS LIS OF FORMULAE [ For Class XII ] Covering all the topics of NCER Mathematics et Book Part I For the session 0-4 By OP GUPA Electronics & Communications Engineering Inira Awar Winner Visit

More information

Transformations of Random Variables

Transformations of Random Variables Transformations of Ranom Variables September, 2009 We begin with a ranom variable an we want to start looking at the ranom variable Y = g() = g where the function g : R R. The inverse image of a set A,

More information

Planar sheath and presheath

Planar sheath and presheath 5/11/1 Flui-Poisson System Planar sheath an presheath 1 Planar sheath an presheath A plasma between plane parallel walls evelops a positive potential which equalizes the rate of loss of electrons an ions.

More information

Linear Equations in Linear Algebra

Linear Equations in Linear Algebra 1 Linear Equations in Linear Algebra 1.4 THE MATRIX EQUATION A = b MATRIX EQUATION A = b m n Definition: If A is an matri, with columns a 1, n, a n, and if is in, then the product of A and, denoted by

More information

= main diagonal, in the order in which their corresponding eigenvectors appear as columns of E.

= main diagonal, in the order in which their corresponding eigenvectors appear as columns of E. 3.3 Diagonalization Let A = 4. Then and are eigenvectors of A, with corresponding eigenvalues 2 and 6 respectively (check). This means 4 = 2, 4 = 6. 2 2 2 2 Thus 4 = 2 2 6 2 = 2 6 4 2 We have 4 = 2 0 0

More information

Introduction to Quantum Mechanics Physics Thursday February 21, Problem # 1 (10pts) We are given the operator U(m, n) defined by

Introduction to Quantum Mechanics Physics Thursday February 21, Problem # 1 (10pts) We are given the operator U(m, n) defined by Department of Physics Introduction to Quantum Mechanics Physics 5701 Temple University Z.-E. Meziani Thursday February 1, 017 Problem # 1 10pts We are given the operator Um, n defined by Ûm, n φ m >< φ

More information

Note that an that the liit li! k+? k li P!;! h (k)? ((k? )) li! i i+? i + U( i ) is just a Rieann su representation of the continuous integral h h j +

Note that an that the liit li! k+? k li P!;! h (k)? ((k? )) li! i i+? i + U( i ) is just a Rieann su representation of the continuous integral h h j + G5.65: Statistical Mechanics Notes for Lecture 5 I. THE FUNCTIONAL INTEGRAL REPRESENTATION OF THE PATH INTEGRAL A. The continuous liit In taking the liit P!, it will prove useful to ene a paraeter h P

More information

Tutorial 1 Differentiation

Tutorial 1 Differentiation Tutorial 1 Differentiation What is Calculus? Calculus 微積分 Differential calculus Differentiation 微分 y lim 0 f f The relation of very small changes of ifferent quantities f f y y Integral calculus Integration

More information

Product and Quotient Rules and Higher-Order Derivatives. The Product Rule

Product and Quotient Rules and Higher-Order Derivatives. The Product Rule 330_003.q 11/3/0 :3 PM Page 119 SECTION.3 Prouct an Quotient Rules an Higher-Orer Derivatives 119 Section.3 Prouct an Quotient Rules an Higher-Orer Derivatives Fin the erivative o a unction using the Prouct

More information

G4003 Advanced Mechanics 1. We already saw that if q is a cyclic variable, the associated conjugate momentum is conserved, L = const.

G4003 Advanced Mechanics 1. We already saw that if q is a cyclic variable, the associated conjugate momentum is conserved, L = const. G4003 Avance Mechanics 1 The Noether theorem We alreay saw that if q is a cyclic variable, the associate conjugate momentum is conserve, q = 0 p q = const. (1) This is the simplest incarnation of Noether

More information

Principal Component Analysis

Principal Component Analysis Principal Component Analysis Motivation Principal Component Analysis (PCA) is a multivariate statistical technique that is often useful in reducing dimensionality of a collection of unstructured random

More information

18.12 FORCED-DAMPED VIBRATIONS

18.12 FORCED-DAMPED VIBRATIONS 8. ORCED-DAMPED VIBRATIONS Vibrations A mass m is attached to a helical spring and is suspended from a fixed support as before. Damping is also provided in the system ith a dashpot (ig. 8.). Before the

More information

Applying the enhanced Craig-Bampton method to equilibrium protein dynamics

Applying the enhanced Craig-Bampton method to equilibrium protein dynamics Applying the enhance Craig-Bampton metho to equilibrium protein ynamics *Jaehoon Kim ), Jin-Gyun Kim 2), Giseok Yun 3), an Do-Nyun Kim 4) ),3),4) Department of Mechanical an Aerospace Engineering, Seoul

More information

MEEN 363. EXAMPLE of ANALYSIS (1 DOF) Luis San Andrés

MEEN 363. EXAMPLE of ANALYSIS (1 DOF) Luis San Andrés MEEN 363. EAMPLE of ANALYSIS (1 DOF) Luis San Anrés Objectives: a) To erive EOM for a 1-DOF (one egree of freeom) system b) To unerstan concept of static equilibrium c) To learn the correct usage of physical

More information

Determinant and Trace

Determinant and Trace Determinant an Trace Area an mappings from the plane to itself: Recall that in the last set of notes we foun a linear mapping to take the unit square S = {, y } to any parallelogram P with one corner at

More information

Mobility and Impedance Methods. Professor Mike Brennan

Mobility and Impedance Methods. Professor Mike Brennan Mobility and Impedance Methods Professor Mike Brennan ibration control ibration Problem Understand problem Modelling (Mobility and Impedance Methods) Solve Problem Measurement Mobility and Impedance The

More information

An Expansion Method Dealing with Spatial Incompleteness of Measured Mode Shapes of Beam Structures

An Expansion Method Dealing with Spatial Incompleteness of Measured Mode Shapes of Beam Structures Appl. Math. Inf. Sci. 8, o. 2, 651-656 (2014) 651 Applied Mathematics & Information Sciences An International Journal http://dx.doi.org/10.12785/amis/080223 An Expansion Method Dealing with Spatial Incompleteness

More information

Design A Robust Power System Stabilizer on SMIB Using Lyapunov Theory

Design A Robust Power System Stabilizer on SMIB Using Lyapunov Theory Design A Robust Power System Stabilizer on SMIB Using Lyapunov Theory Yin Li, Stuent Member, IEEE, Lingling Fan, Senior Member, IEEE Abstract This paper proposes a robust power system stabilizer (PSS)

More information

Problem Sheet 2: Eigenvalues and eigenvectors and their use in solving linear ODEs

Problem Sheet 2: Eigenvalues and eigenvectors and their use in solving linear ODEs Problem Sheet 2: Eigenvalues an eigenvectors an their use in solving linear ODEs If you fin any typos/errors in this problem sheet please email jk28@icacuk The material in this problem sheet is not examinable

More information

Conceptual Discussion on Free Vibration Analysis of Tension Leg Platforms

Conceptual Discussion on Free Vibration Analysis of Tension Leg Platforms Development and Applications of Oceanic Engineering (DAOE) Volume Issue, ay 3 Conceptual Discussion on Free Vibration Analysis of Tension Leg Platforms ohammad Reza Tabeshpour Center of Ecellence in Hydrodynamics

More information

X 2 3. Derive state transition matrix and its properties [10M] 4. (a) Derive a state space representation of the following system [5M] 1

X 2 3. Derive state transition matrix and its properties [10M] 4. (a) Derive a state space representation of the following system [5M] 1 QUESTION BANK 6 SIDDHARTH GROUP OF INSTITUTIONS :: PUTTUR Siddharth Nagar, Narayanavanam Road 5758 QUESTION BANK (DESCRIPTIVE) Subject with Code :SYSTEM THEORY(6EE75) Year &Sem: I-M.Tech& I-Sem UNIT-I

More information

2.3 Product and Quotient Rules and Higher-Order Derivatives

2.3 Product and Quotient Rules and Higher-Order Derivatives Chapter Dierentiation. Prouct an Quotient Rules an Higher-Orer Derivatives Fin the erivative o a unction using the Prouct Rule. Fin the erivative o a unction using the Quotient Rule. Fin the erivative

More information

PD Controller for Car-Following Models Based on Real Data

PD Controller for Car-Following Models Based on Real Data PD Controller for Car-Following Moels Base on Real Data Xiaopeng Fang, Hung A. Pham an Minoru Kobayashi Department of Mechanical Engineering Iowa State University, Ames, IA 5 Hona R&D The car following

More information

SYSTEMS OF DIFFERENTIAL EQUATIONS, EULER S FORMULA. where L is some constant, usually called the Lipschitz constant. An example is

SYSTEMS OF DIFFERENTIAL EQUATIONS, EULER S FORMULA. where L is some constant, usually called the Lipschitz constant. An example is SYSTEMS OF DIFFERENTIAL EQUATIONS, EULER S FORMULA. Uniqueness for solutions of ifferential equations. We consier the system of ifferential equations given by x = v( x), () t with a given initial conition

More information

Lecture 1b. Differential operators and orthogonal coordinates. Partial derivatives. Divergence and divergence theorem. Gradient. A y. + A y y dy. 1b.

Lecture 1b. Differential operators and orthogonal coordinates. Partial derivatives. Divergence and divergence theorem. Gradient. A y. + A y y dy. 1b. b. Partial erivatives Lecture b Differential operators an orthogonal coorinates Recall from our calculus courses that the erivative of a function can be efine as f ()=lim 0 or using the central ifference

More information

FREE VIBRATION RESPONSE OF UNDAMPED SYSTEMS

FREE VIBRATION RESPONSE OF UNDAMPED SYSTEMS Lecture Notes: STRUCTURAL DYNAMICS / FALL 2011 / Page: 1 FREE VIBRATION RESPONSE OF UNDAMPED SYSTEMS : : 0, 0 As demonstrated previously, the above Equation of Motion (free-vibration equation) has a solution

More information

LESSON 35: EIGENVALUES AND EIGENVECTORS APRIL 21, (1) We might also write v as v. Both notations refer to a vector.

LESSON 35: EIGENVALUES AND EIGENVECTORS APRIL 21, (1) We might also write v as v. Both notations refer to a vector. LESSON 5: EIGENVALUES AND EIGENVECTORS APRIL 2, 27 In this contet, a vector is a column matri E Note 2 v 2, v 4 5 6 () We might also write v as v Both notations refer to a vector (2) A vector can be man

More information

Linear ODEs. Types of systems. Linear ODEs. Definition (Linear ODE) Linear ODEs. Existence of solutions to linear IVPs.

Linear ODEs. Types of systems. Linear ODEs. Definition (Linear ODE) Linear ODEs. Existence of solutions to linear IVPs. Linear ODEs Linear ODEs Existence of solutions to linear IVPs Resolvent matrix Autonomous linear systems p. 1 Linear ODEs Types of systems Definition (Linear ODE) A linear ODE is a ifferential equation

More information

Vibrationdata FEA Matlab GUI Package User Guide Revision A

Vibrationdata FEA Matlab GUI Package User Guide Revision A Vibrationdata FEA Matlab GUI Package User Guide Revision A By Tom Irvine Email: tom@vibrationdata.com March 25, 2014 Introduction Matlab Script: vibrationdata_fea_preprocessor.zip vibrationdata_fea_preprocessor.m

More information

TENSOR TRANSFORMATION OF STRESSES

TENSOR TRANSFORMATION OF STRESSES GG303 Lecture 18 9/4/01 1 TENSOR TRANSFORMATION OF STRESSES Transformation of stresses between planes of arbitrar orientation In the 2-D eample of lecture 16, the normal and shear stresses (tractions)

More information

Assembling Reduced-Order Substructural Models

Assembling Reduced-Order Substructural Models . 21 Assembling Reduced-Order Substructural Models 21 1 Chapter 21: ASSEMBLNG REDUCED-ORDER SUBSTRUCTURAL MODELS 21 2 21.1 NTRODUCTON The previous chapter has devoted to the reduced-order modeling o a

More information

Formulation of the Equilibrium Equations of Transversely Loaded Elements Taking Beam-Column Effect into Consideration

Formulation of the Equilibrium Equations of Transversely Loaded Elements Taking Beam-Column Effect into Consideration Journal of Emerging Trens in Engineering an Applie Sciences (JETEAS) 3 (): 0-07 Scholarlink Research Institute Journals, 0 (ISSN: 4-70) jeteas.scholarlinkresearch.org Journal of Emerging Trens in Engineering

More information

1 HOMOGENEOUS TRANSFORMATIONS

1 HOMOGENEOUS TRANSFORMATIONS HOMOGENEOUS TRANSFORMATIONS Purpose: The purpose of this chapter is to introduce ou to the Homogeneous Transformation. This simple 4 4 transformation is used in the geometr engines of CAD sstems and in

More information

LeChatelier Dynamics

LeChatelier Dynamics LeChatelier Dynamics Robert Gilmore Physics Department, Drexel University, Philaelphia, Pennsylvania 1914, USA (Date: June 12, 28, Levine Birthay Party: To be submitte.) Dynamics of the relaxation of a

More information

Rigid Body Transforms-3D. J.C. Dill transforms3d 27Jan99

Rigid Body Transforms-3D. J.C. Dill transforms3d 27Jan99 ESC 489 3D ransforms 1 igid Bod ransforms-3d J.C. Dill transforms3d 27Jan99 hese notes on (2D and) 3D rigid bod transform are currentl in hand-done notes which are being converted to this file from that

More information

1 Kernel methods & optimization

1 Kernel methods & optimization Machine Learning Class Notes 9-26-13 Prof. David Sontag 1 Kernel methods & optimization One eample of a kernel that is frequently used in practice and which allows for highly non-linear discriminant functions

More information

Robust Observer-Based Control of an Aluminum Strip Processing Line

Robust Observer-Based Control of an Aluminum Strip Processing Line IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, VOL. 36, NO. 3, MAY/UNE 2 865 Robust Observer-Base Control of an Aluminum Strip Processing Line Prabhakar R. Pagilla, Member, IEEE, Eugene O. King, Member, IEEE,

More information

Optimization of Geometries by Energy Minimization

Optimization of Geometries by Energy Minimization Optimization of Geometries by Energy Minimization by Tracy P. Hamilton Department of Chemistry University of Alabama at Birmingham Birmingham, AL 3594-140 hamilton@uab.eu Copyright Tracy P. Hamilton, 1997.

More information