Pendulum Dynamics. = Ft tangential direction (2) radial direction (1)

Similar documents
COMPUTER SCIENCE 349A SAMPLE EXAM QUESTIONS WITH SOLUTIONS PARTS 1, 2

( ) () we define the interaction representation by the unitary transformation () = ()

Lecture Notes 4: Consumption 1

Solution in semi infinite diffusion couples (error function analysis)

Electromagnetic waves in vacuum.

Let s treat the problem of the response of a system to an applied external force. Again,

5-1. We apply Newton s second law (specifically, Eq. 5-2). F = ma = ma sin 20.0 = 1.0 kg 2.00 m/s sin 20.0 = 0.684N. ( ) ( )

Method of Characteristics for Pure Advection By Gilberto E. Urroz, September 2004

J i-1 i. J i i+1. Numerical integration of the diffusion equation (I) Finite difference method. Spatial Discretization. Internal nodes.

Chapter 6: AC Circuits

On One Analytic Method of. Constructing Program Controls

Methods of Improving Constitutive Equations

Ordinary Differential Equations in Neuroscience with Matlab examples. Aim 1- Gain understanding of how to set up and solve ODE s

Graduate Macroeconomics 2 Problem set 5. - Solutions

Scattering at an Interface: Oblique Incidence

FTCS Solution to the Heat Equation

Lecture 18: The Laplace Transform (See Sections and 14.7 in Boas)

Density Matrix Description of NMR BCMB/CHEM 8190

ECON 8105 FALL 2017 ANSWERS TO MIDTERM EXAMINATION

Linear Response Theory: The connection between QFT and experiments

Output equals aggregate demand, an equilibrium condition Definition of aggregate demand Consumption function, c

Notes on the stability of dynamic systems and the use of Eigen Values.

DEEP UNFOLDING FOR MULTICHANNEL SOURCE SEPARATION SUPPLEMENTARY MATERIAL

Mechanics Physics 151

[ ] 2. [ ]3 + (Δx i + Δx i 1 ) / 2. Δx i-1 Δx i Δx i+1. TPG4160 Reservoir Simulation 2018 Lecture note 3. page 1 of 5

Mechanics Physics 151

Mechanics Physics 151

In the complete model, these slopes are ANALYSIS OF VARIANCE FOR THE COMPLETE TWO-WAY MODEL. (! i+1 -! i ) + [(!") i+1,q - [(!

Motion in Two Dimensions

. The geometric multiplicity is dim[ker( λi. number of linearly independent eigenvectors associated with this eigenvalue.

Density Matrix Description of NMR BCMB/CHEM 8190

. The geometric multiplicity is dim[ker( λi. A )], i.e. the number of linearly independent eigenvectors associated with this eigenvalue.

Cubic Bezier Homotopy Function for Solving Exponential Equations

The Finite Element Method for the Analysis of Non-Linear and Dynamic Systems

Should Exact Index Numbers have Standard Errors? Theory and Application to Asian Growth

Homework 8: Rigid Body Dynamics Due Friday April 21, 2017

HEAT CONDUCTION PROBLEM IN A TWO-LAYERED HOLLOW CYLINDER BY USING THE GREEN S FUNCTION METHOD

Problem Set 3 EC2450A. Fall ) Write the maximization problem of the individual under this tax system and derive the first-order conditions.

The Maxwell equations as a Bäcklund transformation

GENERATING CERTAIN QUINTIC IRREDUCIBLE POLYNOMIALS OVER FINITE FIELDS. Youngwoo Ahn and Kitae Kim

NATIONAL UNIVERSITY OF SINGAPORE PC5202 ADVANCED STATISTICAL MECHANICS. (Semester II: AY ) Time Allowed: 2 Hours

2/20/2013. EE 101 Midterm 2 Review

New Mexico Tech Hyd 510

dt = C exp (3 ln t 4 ). t 4 W = C exp ( ln(4 t) 3) = C(4 t) 3.

Comb Filters. Comb Filters

CH.3. COMPATIBILITY EQUATIONS. Continuum Mechanics Course (MMC) - ETSECCPB - UPC

Existence and Uniqueness Results for Random Impulsive Integro-Differential Equation

CHAPTER 10: LINEAR DISCRIMINATION

Response of MDOF systems

mywbut.com Lesson 11 Study of DC transients in R-L-C Circuits

Approximate Analytic Solution of (2+1) - Dimensional Zakharov-Kuznetsov(Zk) Equations Using Homotopy

FI 3103 Quantum Physics

Including the ordinary differential of distance with time as velocity makes a system of ordinary differential equations.

CS434a/541a: Pattern Recognition Prof. Olga Veksler. Lecture 4

V.Abramov - FURTHER ANALYSIS OF CONFIDENCE INTERVALS FOR LARGE CLIENT/SERVER COMPUTER NETWORKS

e a = 12.4 i a = 13.5i h a = xi + yj 3 a Let r a = 25cos(20) i + 25sin(20) j b = 15cos(55) i + 15sin(55) j

Volatility Interpolation

Linear Quadratic Regulator (LQR) - State Feedback Design

THE PREDICTION OF COMPETITIVE ENVIRONMENT IN BUSINESS

10. A.C CIRCUITS. Theoretically current grows to maximum value after infinite time. But practically it grows to maximum after 5τ. Decay of current :

UNIVERSITAT AUTÒNOMA DE BARCELONA MARCH 2017 EXAMINATION

Lecture 2 M/G/1 queues. M/G/1-queue

Lecture 11 SVM cont

s = rθ Chapter 10: Rotation 10.1: What is physics?

Variants of Pegasos. December 11, 2009

PHYS 1443 Section 001 Lecture #4

Robust and Accurate Cancer Classification with Gene Expression Profiling

CHAPTER 10 ROTATIONAL MOTION

by Lauren DeDieu Advisor: George Chen

Computational results on new staff scheduling benchmark instances

On computing differential transform of nonlinear non-autonomous functions and its applications

Department of Economics University of Toronto

Outline. Probabilistic Model Learning. Probabilistic Model Learning. Probabilistic Model for Time-series Data: Hidden Markov Model

Relative controllability of nonlinear systems with delays in control

How about the more general "linear" scalar functions of scalars (i.e., a 1st degree polynomial of the following form with a constant term )?

First-order piecewise-linear dynamic circuits

Two Coupled Oscillators / Normal Modes

Week 1 Lecture 2 Problems 2, 5. What if something oscillates with no obvious spring? What is ω? (problem set problem)

Part II CONTINUOUS TIME STOCHASTIC PROCESSES

CS286.2 Lecture 14: Quantum de Finetti Theorems II

Fall 2010 Graduate Course on Dynamic Learning

The equation of motion of a dynamical system is given by a set of differential equations. That is (1)

EEL 6266 Power System Operation and Control. Chapter 5 Unit Commitment

6.302 Feedback Systems Recitation 4: Complex Variables and the s-plane Prof. Joel L. Dawson

Chapters 2 Kinematics. Position, Distance, Displacement

Lecture 2 L n i e n a e r a M od o e d l e s

Supplementary Material to: IMU Preintegration on Manifold for E cient Visual-Inertial Maximum-a-Posteriori Estimation

M. Y. Adamu Mathematical Sciences Programme, AbubakarTafawaBalewa University, Bauchi, Nigeria

C/CS/Phy191 Problem Set 3 Solutions Out: Oct 1, 2008., where ( 00. ), so the overall state of the system is ) ( ( ( ( 00 ± 11 ), Φ ± = 1

Online Supplement for Dynamic Multi-Technology. Production-Inventory Problem with Emissions Trading

Single and Double Pendulum Models

PHYS 705: Classical Mechanics. Canonical Transformation

Epistemic Game Theory: Online Appendix

John Geweke a and Gianni Amisano b a Departments of Economics and Statistics, University of Iowa, USA b European Central Bank, Frankfurt, Germany

COMPLEX NUMBERS AND QUADRATIC EQUATIONS

P R = P 0. The system is shown on the next figure:

Bernoulli numbers. Francesco Chiatti, Matteo Pintonello. December 5, 2016

Block 5 Transport of solutes in rivers

Comparison of Differences between Power Means 1

Stability Analysis for VAR systems. )', a VAR model of order p (VAR(p)) can be written as:

Transcription:

Pendulum Dynams Consder a smple pendulum wh a massless arm of lengh L and a pon mass, m, a he end of he arm. Assumng ha he fron n he sysem s proporonal o he negave of he angenal veloy, Newon s seond law gves: ma ma r = Fr radal dreon (1) = F angenal dreon () For a pendulum of fxed lengh, he radal aeleraon s zero; hus here s no moon n he radal dreon -- sne he sum of he fores n he radal dreon always balane (.e. he enson n he pendulum arm mus balane he radally ouward enrfugal fore and gravy fore omponens). Thus, of neres here s he angenal fore balane gven n eqn. (). Fousng on he angenal dreon, we see ha he lef hand sde (LHS) of eqn. () an be wren as dv dω d θ ma = m = ml = ml = ml θ '' (3) d d d where v = angenal veloy = Lω ω = angular veloy = dθ/d θ = angular poson On he RHS we have he fron fore and a fore due o gravy. Sne he fron fore s proporonal o he angenal veloy, we have dθ Ff = v = L = Lθ' (4) d where s he drag or fron oeffen (proporonaly onsan). For he gravy fore, we need he omponen n he dreon angen o he urve raed by he pon mass a he pon (L, θ), or Fg = mgsnθ Therefore, he equaon of moon for a smple pendulum wh a fxed arm of lengh L and pon mass, m, s gven by ml θ '' + L θ ' + mg sn θ= 0 Ths s a nd order nonlnear ODE. Wh gven values for he onsans and wh a se of spefed nal ondons, θ(0) and θ (0), hs nonlnear equaon an be solved numerally usng a sandard ODE solver (suh as ode45 n Malab). (5) (6)

Appled Problem Solvng wh Malab -- Pendulum Dynams If, however, he pendulum moon only produes relavely small angles hen, for θ 0, sn θ θ, and we have a lnearzed verson of he equaon of moon for he pendulum, ml θ '' + L θ ' + mgθ= 0 Ths s now a lnear onsan oeffen sysem ha s relavely easy o solve analyally. To demonsrae, le s assume he followng numeral values for he lnearzed model: m = 1 kg, = kg/s, L = 1 m, and g = 10 m/s along wh nal ondons (ICs) θ(0) = π/6 radans and θ (0) = 0 rad/s whh says ha he pendulum s nally a res a an angle of 30 degrees. Wh hese values, he nal value problem (IVP) beomes θ '' + θ ' + 10θ= 0 wh θ (0) =π 6 and θ '(0) = 0 (8) The unque soluon o hs IVP s gven as follows: r 1. Assume a soluon of he form θ () = e o develop he haraers equaon and s roos, (7) and r + r+ 10=0 ± 4 4(10) r1, = = 1± 3j. The general soluon s hen gven by and ( θ () = e os 3 + sn 3 1 ) θ '() = e 3 sn 3 + 3 os 3 e os 3 + sn 3 1 1 or θ = ( ) ( + ) '() e 3 os 3 3 sn 3 (10) 1 1 3. Now applyng he ICs gves he unque soluon, as follows: π π θ (0) = = (1) 1+ 0 or 1 = 6 6 IC#1: 1 1 π θ '(0) = 0 = (1) 3 1 0 or = 1 = 3 3 6 IC#: whh gves he angular poson versus me as π 1 θ () = e os3 + sn3 6 3 (11) and he angular veloy as (9) Leure Noes for Appled Problem Solvng Wh Malab by Dr. John R. Whe, UMass-Lowell (Sepember 006)

Appled Problem Solvng wh Malab -- Pendulum Dynams 3 10 π 5 ω () =θ '() = e sn3 = πe sn3 3 6 9 These funons, θ() and ω() = θ (), gve he desred angular poson and angular veloy versus me. These represen he sae of he sysem a any me. One he sae s known, we an ompue oher quanes for he sysem as desred. For example, he oal energy n hs mehanal sysem s gven by he sum of he poenal and kne energes, or or 1 Eo = Ep + Ek = mgh+ mv (13) 1 E o = mgl 1 osθ + ml θ ' (14) Thus, wh θ() and θ () known, we an easly fnd E p (), E k (), and E o (). Ths essenally omplees our analyal developmen, and we are now ready o evaluae and plo some of hese expressons o help us vsualze he overall behavor of hs parular sysem. ------------------------ Exra! Exra! Alhough s a lle more edous, s also usually muh more nsghful f he above analyal manpulaons an be done wh symbol varables nsead of numeral values. To gve us full flexbly wh hs problem, we repea he above developmen for he more general ase, as follows: We sar by resang he IVP as θ g '' + ' 0 wh (0) o and (0) '(0) m θ + L θ= θ =θ ω =θ =ω (15) o The haraers equaon s g r + r m + L =0 (16) wh he roos gven by r 1, g = ± m m L Now, one assumpon ha we wll make abou he pendulum s ha wll osllae abou s equlbrum pon (θ eq = 0 and ω eq = 0) afer some nal perurbaon a me zero. Ths means ha he fron, alhough nonzero, s no so grea as o ause over-dampng. In mahemaal erms, hs means ha we assume ha > L m (1) (17) Leure Noes for Appled Problem Solvng Wh Malab by Dr. John R. Whe, UMass-Lowell (Sepember 006)

Appled Problem Solvng wh Malab -- Pendulum Dynams 4 For hs ase, we wll have omplex onjugae roos, where r 1, =α±β α= (real par) (19) m β= L m (18) (magnary par) (0) wh he orrespondng general soluon for he pendulum poson gven as θ () = e osβ + snβ (1) 1 and he pendulum angular veloy gven by ω () =θ '() = e βsnβ + βosβ +αe osβ + snβ 1 1 or ω () = e β +α 1 os3 + α β1 snβ Now, wh he formal expressons for θ() and ω() n eqns. (1) and (), we an apply he nal ondons, as follows: IC#1: θ (0) =θ = or =θ (3) IC#: o 1 1 ω α ω =ω =β +α = β o 1 (0) o 1 or Fnally, pung hese no he general soluon gves he unque soluon for he lnearzed pendulum model. As a summary, we smply rewre he above equaons as par of an algorhm for mplemenng hese equaons no Malab (or any oher ompuaonal ool). The soluon algorhm requres he followng seps: 1. Defne problem parameers: m,, g, L, θ o, and ω o.. Compue real and omplex pars of he roos of he haraers equaon: α= and m 3. Compue he equaon oeffens: o β= L m ωo α1 1 =θ o and = β d =β +α 1 and d = α β 1 1 () (4) Leure Noes for Appled Problem Solvng Wh Malab by Dr. John R. Whe, UMass-Lowell (Sepember 006)

Appled Problem Solvng wh Malab -- Pendulum Dynams 5 4. Dsreze he me doman varable over an approprae doman ( = lnspae(0,5,101), for example, wll defne a dsree me veor wh 101 pons evenly spaed wh 0 and 5 seonds as he end pons). 5. Evaluae he angular poson and veloy a eah me pon (use veor arhme): θ () = e osβ + snβ 1 ω () = e d os 3 + d snβ 1 6. Evaluae he ndvdual omponens of he oal energy n he sysem [as mpled n eqns. (13) and (14)]. 7. Plo and nerpre he soluons as needed. Ths algorhm s really que sraghforward o mplemen n Malab. Noe ha here s no reason o subsue long algebra expressons no every equaon. Jus as we do n mahemas, we defne nermedae varables as needed o smplfy he mah. In programmng, we smply do he same hng when aually odng he equaons. Of ourse, we mus be sure ha all he nermedae erms are ompued before hey are used n subsequen evaluaons. Followng he above algorhm, sep by sep, should guaranee suess n our goal for evaluang and vsualzng he dynams of hs smple lnearzed pendulum model. Please see pendulum_1.m for he aual mplemenaon of he above algorhm Leure Noes for Appled Problem Solvng Wh Malab by Dr. John R. Whe, UMass-Lowell (Sepember 006)