Solving the Van Der Pol nonlinear differential equation using first order approximation perturbation method

Similar documents
Using Simulink to analyze 2 degrees of freedom system

ODE classification. February 7, Nasser M. Abbasi. compiled on Wednesday February 07, 2018 at 11:18 PM

Chapter 3 : Linear Differential Eqn. Chapter 3 : Linear Differential Eqn.

Dynamics of Two Coupled van der Pol Oscillators with Delay Coupling Revisited

Problems. HW problem 5.7 Math 504. Spring CSUF by Nasser Abbasi

Linear and Nonlinear Oscillators (Lecture 2)

Understand the existence and uniqueness theorems and what they tell you about solutions to initial value problems.

Homework #6 Solutions

2:1:1 Resonance in the Quasi-Periodic Mathieu Equation

A plane autonomous system is a pair of simultaneous first-order differential equations,

B. Differential Equations A differential equation is an equation of the form

DynamicsofTwoCoupledVanderPolOscillatorswithDelayCouplingRevisited

Solutions to Dynamical Systems 2010 exam. Each question is worth 25 marks.

HW 6 Mathematics 503, Mathematical Modeling, CSUF, June 24, 2007

Table of contents. d 2 y dx 2, As the equation is linear, these quantities can only be involved in the following manner:

DYNAMICS OF THREE COUPLED VAN DER POL OSCILLATORS WITH APPLICATION TO CIRCADIAN RHYTHMS

Math 266: Phase Plane Portrait

Differential Equations 2280 Sample Midterm Exam 3 with Solutions Exam Date: 24 April 2015 at 12:50pm

Review of similarity transformation and Singular Value Decomposition

Solution of Additional Exercises for Chapter 4

Notes on the Periodically Forced Harmonic Oscillator

Trigonometric Identities Exam Questions

Control Systems. Internal Stability - LTI systems. L. Lanari

Second Order Systems

1. < 0: the eigenvalues are real and have opposite signs; the fixed point is a saddle point

Physics 351 Monday, January 22, 2018

8 Example 1: The van der Pol oscillator (Strogatz Chapter 7)

MIT Weakly Nonlinear Things: Oscillators.

Output Feedback and State Feedback. EL2620 Nonlinear Control. Nonlinear Observers. Nonlinear Controllers. ẋ = f(x,u), y = h(x)

Examples: Solving nth Order Equations

SECOND ORDER ODE S. 1. A second order differential equation is an equation of the form. F (x, y, y, y ) = 0.

Chapter III. Stability of Linear Systems

Math 20D Final Exam 8 December has eigenvalues 3, 3, 0 and find the eigenvectors associated with 3. ( 2) det

APPM 2360: Final Exam 10:30am 1:00pm, May 6, 2015.

Math 4B Notes. Written by Victoria Kala SH 6432u Office Hours: T 12:45 1:45pm Last updated 7/24/2016

Linear differential equations with constant coefficients Method of undetermined coefficients

Seminar 6: COUPLED HARMONIC OSCILLATORS

2:1 Resonance in the delayed nonlinear Mathieu equation

Problem Set Number 5, j/2.036j MIT (Fall 2014)

Hopf Bifurcation Analysis and Approximation of Limit Cycle in Coupled Van Der Pol and Duffing Oscillators

A Numerical Solution of Classical Van der Pol-Duffing Oscillator by He s Parameter-Expansion Method

ME 132, Fall 2015, Quiz # 2

Section 9.3 Phase Plane Portraits (for Planar Systems)

COMPLEX DYNAMICS AND CHAOS CONTROL IN DUFFING-VAN DER POL EQUATION WITH TWO EXTERNAL PERIODIC FORCING TERMS

MCE 366 System Dynamics, Spring Problem Set 2. Solutions to Set 2

4 Second-Order Systems

Lecture Notes 6: Dynamic Equations Part B: Second and Higher-Order Linear Difference Equations in One Variable

Lectures on Periodic Orbits

Often, in this class, we will analyze a closed-loop feedback control system, and end up with an equation of the form

1 Differentiable manifolds and smooth maps. (Solutions)

Prof. Krstic Nonlinear Systems MAE281A Homework set 1 Linearization & phase portrait

HW 9, Math 319, Fall 2016

Dimensional Analysis - Concepts

Improving convergence of incremental harmonic balance method using homotopy analysis method

Two models for the parametric forcing of a nonlinear oscillator

Higher Order Averaging : periodic solutions, linear systems and an application

Markov Chains. X(t) is a Markov Process if, for arbitrary times t 1 < t 2 <... < t k < t k+1. If X(t) is discrete-valued. If X(t) is continuous-valued

Constrained Optimization

Exercises Lecture 15

Ordinary Differential Equations

Solving Linear Systems Using Gaussian Elimination

Perturbation theory for anharmonic oscillations

Section 8.2 : Homogeneous Linear Systems

Algebraic Properties of Solutions of Linear Systems

Physics 102 Pledged Problem 2

We will begin by first solving this equation on a rectangle in 2 dimensions with prescribed boundary data at each edge.

7 Planar systems of linear ODE

conventions and notation

7.0: Minimax approximations

Problem Set Number 01, MIT (Winter-Spring 2018)

Coupled Oscillators Monday, 29 October 2012 normal mode Figure 1:

Feedback Linearization

Practice Problems for Final Exam

Synergetic Control of the Unstable Two-Mass System

8 Ecosystem stability

MA 527 first midterm review problems Hopefully final version as of October 2nd

Chemical Process Dynamics and Control. Aisha Osman Mohamed Ahmed Department of Chemical Engineering Faculty of Engineering, Red Sea University

MATH 215/255 Solutions to Additional Practice Problems April dy dt

BIFURCATIONS OF PERIODIC ORBITS IN THREE-WELL DUFFING SYSTEM WITH A PHASE SHIFT

nonlinear oscillators. method of averaging

How to Simulate a Trebuchet Part 1: Lagrange s Equations

Stability of flow past a confined cylinder

y 2y = 4 x, Name Form Solution method

MCE693/793: Analysis and Control of Nonlinear Systems

Design of hybrid control systems for continuous-time plants: from the Clegg integrator to the hybrid H controller

Backstepping synchronization of uncertain chaotic systems by a single driving variable

Module 6 : Solving Ordinary Differential Equations - Initial Value Problems (ODE-IVPs) Section 3 : Analytical Solutions of Linear ODE-IVPs

Derivation of amplitude equations for nonlinear oscillators subject to arbitrary forcing

1. Why don t we have to worry about absolute values in the general form for first order differential equations with constant coefficients?

Systems of Linear Equations. By: Tri Atmojo Kusmayadi and Mardiyana Mathematics Education Sebelas Maret University

Journal of Applied Nonlinear Dynamics

Nonlinear Control Systems

Chapter 14 Three Ways of Treating a Linear Delay Differential Equation

Solutions of Nonlinear Oscillators by Iteration Perturbation Method

Two-Body Problem. Central Potential. 1D Motion

Periodic solutions of the perturbed symmetric Euler top

Lecture 5. Outline: Limit Cycles. Definition and examples How to rule out limit cycles. Poincare-Bendixson theorem Hopf bifurcations Poincare maps

Method of Averaging for Differential Equations on an Infinite Interval

DYNAMIC LECTURE 1 UNIVERSITY OF MARYLAND: ECON 600

BIFURCATION PHENOMENA Lecture 1: Qualitative theory of planar ODEs

Transcription:

Solving the Van Der Pol nonlinear differential equation using first order approximation perturbation method Nasser M. Abbasi 2009 compiled on Monday January 01, 201 at 07:16 PM The Van Der Pol differential equation Abstract x t α 1 x 2 t x t + xt = 0 is solved using perturbation with first order approximation. Two different solutions are obtained. The first solution restricted the initial conditions to be x0 2 + x 0 2 = which resulted in the forcing function that caused resonance to be eliminated. This gave a stable solution but with initial conditions restricted to be near the origin of the phase plane space. The second solution allowed arbitrary initial conditions any where in the phase plane but the the resulting forcing function that caused resonance resulting in a solution which became unstable after some time. Phase plane plots are used to compare the two solutions. 1 First solution: Restriction on initial condition. No resonance The Van Der Pol equation is ẍ α 1 x 2 ẋ + x = 0 1 And assuming initial conditions are x0 = ϕ and ẋ0 = ξ. If α 1, then the equation becomes ẍ 0 + x 0 = 0 which has an exact solution. We perturb the exact solution for ẍ 0 + x 0 = 0 to approximate the solution of the nonlinear equation ẍ α 1 x 2 ẋ + x = 0 in terms of perturbation parameter α Let the solution of the Van Der Pol equation be xt and the solution to the exact equation ẍ 0 + x 0 = 0 be x 0 t, then First order approximation results in xt = x 0 t + αx 1 t + α 2 x 2 t + xt = x 0 t + αx 1 t 2 Now we need to determine x 0 t and x 1 t. Substituting 2 into 1 gives ẍ 0 + αẍ 1 αẋ 0 + αx 2 0ẋ 0 + α 3 x 2 1ẋ 0 + 2α 2 x 1 x 0 ẋ 0 α 2 ẋ 1 + α 2 x 2 0ẋ 1 + α x 2 1ẋ 1 + 2α 3 x 1 x 0 ẋ 1 + x 0 + αx 1 = 0 Collecting terms with same power of α gives α 0 ẍ 0 + x 0 + α ẍ 1 ẋ 0 + x 2 0ẋ 0 + x 1 + α 2 x 2 0ẋ 1 + 2x 1 x 0 ẋ 0 ẋ 1 + α 3 x 2 1ẋ 0 + 2x 1 x 0 ẋ 1 + α x 2 1ẋ 1 = 0 1

Setting terms which multiply by higher power α to zero and since it is assumed that α is very small therefore For the LHS to be zero implies that And ẍ 0 + x 0 + α ẍ 1 ẋ 0 + x 2 0ẋ 0 + x 1 = 0 ẍ 0 + x 0 = 0 3 ẍ 1 ẋ 0 + x 2 0ẋ 0 + x 1 = 0 Equation 3 is solved for x 0 and is solved for x 1 in order to find the solution xt. Solution to 3 is x 0 t = A 0 cos t + B 0 sin t Assuming initial conditions for x 1 t are zero, then initial conditions for x 0 t can be taken to be those given for xt. Solving for A 0, B 0 gives x 0 t = ϕ cos t + ξ sin t Substituting the solution just found and its derivative into gives ẍ 1 + x 1 = ϕ sin t + ξ cos t ξ 3 cos t sin 2 t 2ξ 2 ϕ cos 2 t sin t + ξ 2 ϕ sin 3 t ξϕ 2 cos 3 t + 2ξϕ 2 cos t sin 2 t + ϕ 3 cos 2 t sin t Using sin t cos 2 t = 1 sin t + and cos t sin2 t = 1 cos t cos 3t the above can be simplified to ẍ 1 + x 1 = ϕ ξ2 ϕ + ξ2 ϕ sin t + ξ ξ3 + ξϕ2 ξ 3 cos t + 2 ξϕ2 cos 3t 2 + ξϕ ξ sin 3 t ϕ cos 3 t Using ξ sin 3 t ϕ cos 3 t = 1 3ϕ cos t ϕ cos 3t + 3ξ sin t ξ the above can be simplified further to ẍ 1 + x 1 = ϕ ξ2 ϕ + 3ξ2 ϕ sin t + ξ ξ3 + ξϕ2 2 3 ξϕ2 cos t ξ 3 + ξϕ2 2 ξϕ2 cos 3t + ξ2 ϕ ξ2 ϕ 5 The above is the equation we will now solve for x 1 t, which has four forcing functions, hence four particular solutions. two of these particular solutions will cause a complete solution blows up as time increases the first two in the RHS shown above. If we however restrict the initial conditions such that ϕ ξ2 ϕ + 3ξ2 ϕ = 0 2

And ξ ξ3 + ξϕ2 2 3 ξϕ2 = 0 Then those forcing function will vanish. The above two equation result in the same restriction, which can be found to be = ξ 2 + ϕ 2 By restricting ξ 2 + ϕ 2 to be exactly, then the solution we obtain for x 1 t from 5 will not blow up. Hence can now be rewritten without the two forcing functions which caused resonance resulting in ξ 2 3ϕ 2 ẍ 1 + x 1 = ξ cos 3t + ϕ ϕ 2 3ξ 2 But ϕ 2 = ξ 2 and ξ 2 = ϕ 2, hence the above becomes after some simplification The homogeneous solution to the above is ẍ 1 + x 1 = ξ ξ 2 3 cos 3t + ϕ ϕ 2 3 6 x 1,h = c 1 cos t + c 2 sin t And we guess two particular solutions x 1,p1 = a 1 cos 3t + a 2 and x 1,p2 = d 1 cos 3t + d 2. By substituting each of these particular solutions into 6 one at a time, and comparing coefficients, we can determine a 1, a 2, d 1, d 2. This results in x 1,p1 = ξ 3 ξ 2 cos 3t Similarly, x 1,p2 = ϕ 3 ϕ 2 Hence the solution to 6 becomes x 1 t = x 1,h + x 1,p1 + x 1,p2 = c 1 cos t + c 2 sin t + ξ 3 ξ 2 cos 3t + ϕ 3 ϕ 2 7 Now applying initial conditions, which are x 1 0 = 0 and ẋ 1 0 = 0, to 7 and determining c 1 and c 2 results in x 1 t = ξ ξ 2 3 cos t + 3 ϕ ϕ 2 3 sin t + ξ 3 ξ 2 cos 3t + ϕ 3 ϕ 2 Therefore we now have the final perturbation solution, which is x t = x 0 t + αx 1 t = ϕ cos t + ξ sin t + α ξ ξ 2 3 cos t + 3 ϕ ϕ 2 3 sin t + ξ 3 ξ 2 cos 3t + ϕ 3 ϕ 2 3

Where x 0 = ϕ and ẋ 0 = ξ and the above solution is valid under the restriction that x 2 0 + ẋ 2 0 = We notice that the above restriction implies that both x 0 and ẋ 0 have to be less than to avoid getting a quantity which is complex. This implies that his solution is valid near the center of the phase plane only. In addition, it is valid only for small α. To illustrate this solution, We show the phase plot which results from the above solution, and also plot the solution x t. Selecting x 0 = 1.5 and ẋ 0 = 1.5 2 = 1.3229

2 Second solution. No restriction on initial conditions. Resonance present in the solution The same initial steps are repeated as in the first solution, up the equation to solve for x 1 t ϕ 2 + ξ 2 ẍ 1 + x 1 = ϕ ξ 2 3ϕ 2 + ξ 1 sin t + ξ cos 3t + ϕ 1 ξ2 ϕ 2 ϕ 2 3ξ 2 There exists four particular solutions relating to the above four forcing functions ϕ 2 + ξ 2 f 1 t = ϕ f 2 t = ξ 1 ξ2 ϕ 2 ξ 2 3ϕ 2 f 3 t = ξ ϕ 2 3ξ 2 f t = ϕ 1 sin t cos t cos 3t cos t For each of the above, we guess a particular solution, and determine the solution parameters. We guess x 1,p1 = t c 1 sin t + c 2 cos t, x 1,p2 = t c 1 sin t + c 2 cos t, x 1,p3 = c 1 + c 2 cos 3t, and x 1,p = c 1 + c 2 cos 3t. By substituting each of the above into one at a time and comparing coefficients, we arrive at the following solutions 1 x 1,p1 = t 2 ϕ 1 x 1,p2 = t 2 ξ 1 ϕ2 + ξ 2 1 ξ2 ϕ 2 cos t sin t x 1,p3 = 1 ξ 2 ξ ϕ 2 1 cos 3t x 1,p = 1 3ξ 2 ϕ ϕ 2 x 1 t = x 1,h + x 1,p + x 2,p + x 3,p + x,p 1 = c 1 cos t + c 2 sin t + t 1 2 ϕ ϕ2 + ξ 2 + 1 ξ 2 ξ ϕ 2 1 cos 3t + 1 3ξ 2 ϕ ϕ 2 1 cos t + t 1 2 ξ ξ2 ϕ 2 sin t 5

Now applying initial conditions which are x 1 0 = 0 and ẋ 1 0 = 0 and determining c 1 and c 2 results in x 1 t = 1 32 ξ3 + 1 32 ξϕ2 + 1 ξ cos t 1 32 ϕ 5ξ 2 7ϕ 2 + 16 sin t 1 + t 2 ϕ + 1 ξ ξ 2 ϕ 2 We can now write the final solution for x t as x t = x 0 t + αx 1 t 1 ϕ2 + ξ 2 1 cos t + t 1 2 ξ ξ2 ϕ 2 1 cos 3t + 1 3ξ 2 ϕ ϕ 2 sin t = ϕ cos t + ξ sin t+ α 132 ξ3 + 132 ξϕ2 + 1 ξ cos t α 1 32 ϕ 5ξ 2 7ϕ 2 + 16 sin t 1 + αt 1 2 ϕ ϕ2 + ξ 2 1 cos t + αt 1 2 ξ ξ2 ϕ 2 sin t + α 1 ξ 2 ξ ϕ 2 1 cos 3t + α 1 3ξ 2 ϕ ϕ 2 To illustrate this solution, we show the phase plot which results from the above solution, and also plot the solution x t. We select x 0 = 1.5 and ẋ 0 = 1.3229. We note that the same initial conditions are used as in the earlier solution to compare both solutions. 6

7

We see clearly the effect of including resonance particular solutions. The limit cycle boundary is increasing with time. The effect becomes more clear if we plot the solution x t itself, and compare it to the solution earlier with no resonance. Below, We show xt from both solutions. We clearly see the effect of including the resonance terms. This is the solution with no resonance terms This is the solution with resonance terms In the second solution with resonance, there is no restriction on initial conditions. Hence we can for example look at the solution starting from any x 0 and ẋ 0. This is the phase plot for x 0 = 5 and ẋ 0 = 2. This would not be possible using the first solution, due to the restriction on x 0 2 + ẋ 0 2 having to be equal to

3 Conclusion Van Der Pol was solved using perturbation for first order approximation. It was solved using two methods. In the first method, the solution was restricted to not include forcing functions which leads to resonance. In the second method, no such restriction was made. In both methods, this problem was solved for general initial conditions i.e. both x 0 and ẋ 0 can both be nonzero. In the first method, it was found that the we must restrict the initial conditions to be such that x 0 2 +ẋ 0 2 =. This is the condition which resulted in the resonance terms vanishing from the solution. This leads to a solution which generated a limit cycle which did not blow up as the solution is run for longer time. In other words, once the solution enters a limit cycle, it remains in the limit cycle. In the second method, no restriction on the initial conditions was made. This allowed the solution to start from any state. However, the limit cycle would grow with time, and the solution will suffer from fluttering due to the presence of the resonance terms. However, even though the solution was not stable in the long term, this second approach allowed one to examine the solution for a shorter time but with the flexibility of choosing any initial conditions. It was also observed that increasing the value of the perturbation parameter α gradually resulted in an inaccurate solution as would be expected, as the solutions derived here all assumed a very small 1 value of α was used in generating the solutions and plots. For future research, it would be interesting to consider the effect of higher order approximation on the solutions and compare with accurate numerical solutions. 1 α = 0.01 9