More Emphasis on Complex Numbers? The i 's Have It!

Similar documents
Review of Calculus, cont d

POLYPHASE CIRCUITS. Introduction:

Week 10: Line Integrals

13: Diffusion in 2 Energy Groups

and that at t = 0 the object is at position 5. Find the position of the object at t = 2.

ELE B7 Power System Engineering. Unbalanced Fault Analysis

Exploring parametric representation with the TI-84 Plus CE graphing calculator

How do we solve these things, especially when they get complicated? How do we know when a system has a solution, and when is it unique?

The First Fundamental Theorem of Calculus. If f(x) is continuous on [a, b] and F (x) is any antiderivative. f(x) dx = F (b) F (a).

Improper Integrals, and Differential Equations

A REVIEW OF CALCULUS CONCEPTS FOR JDEP 384H. Thomas Shores Department of Mathematics University of Nebraska Spring 2007

SUMMER KNOWHOW STUDY AND LEARNING CENTRE

Chapter 14. Matrix Representations of Linear Transformations

Section 6.1 INTRO to LAPLACE TRANSFORMS

The graphs of Rational Functions

The Algebra (al-jabr) of Matrices

Lecture 7 notes Nodal Analysis

Properties of Integrals, Indefinite Integrals. Goals: Definition of the Definite Integral Integral Calculations using Antiderivatives

SESSION 2 Exponential and Logarithmic Functions. Math 30-1 R 3. (Revisit, Review and Revive)

7.2 The Definite Integral

Ordinary differential equations

Chapter 4 Contravariance, Covariance, and Spacetime Diagrams

Math 8 Winter 2015 Applications of Integration

Table of Contents. 1. Limits The Formal Definition of a Limit The Squeeze Theorem Area of a Circle

Recitation 3: More Applications of the Derivative

Here we study square linear systems and properties of their coefficient matrices as they relate to the solution set of the linear system.

Review of basic calculus

Sample pages. 9:04 Equations with grouping symbols

Purpose of the experiment

8. Complex Numbers. We can combine the real numbers with this new imaginary number to form the complex numbers.

KINEMATICS OF RIGID BODIES

Operations with Polynomials

1.9 C 2 inner variations

Main topics for the First Midterm

UNIT 1 FUNCTIONS AND THEIR INVERSES Lesson 1.4: Logarithmic Functions as Inverses Instruction

AQA Further Pure 1. Complex Numbers. Section 1: Introduction to Complex Numbers. The number system

New Expansion and Infinite Series

Infinite Geometric Series

a < a+ x < a+2 x < < a+n x = b, n A i n f(x i ) x. i=1 i=1

List all of the possible rational roots of each equation. Then find all solutions (both real and imaginary) of the equation. 1.

Lecture 13 - Linking E, ϕ, and ρ

How do we solve these things, especially when they get complicated? How do we know when a system has a solution, and when is it unique?

1 Module for Year 10 Secondary School Student Logarithm

In-Class Problems 2 and 3: Projectile Motion Solutions. In-Class Problem 2: Throwing a Stone Down a Hill

MATH , Calculus 2, Fall 2018

DEFINITION OF ASSOCIATIVE OR DIRECT PRODUCT AND ROTATION OF VECTORS

Physics 201 Lab 3: Measurement of Earth s local gravitational field I Data Acquisition and Preliminary Analysis Dr. Timothy C. Black Summer I, 2018

The practical version

2. VECTORS AND MATRICES IN 3 DIMENSIONS

Lecture 1: Introduction to integration theory and bounded variation

Fourier Series and Their Applications

Elementary Mathematical Concepts and Operations

x = b a N. (13-1) The set of points used to subdivide the range [a, b] (see Fig. 13.1) is

Chapter 10: Symmetrical Components and Unbalanced Faults, Part II

INTRODUCTION. The three general approaches to the solution of kinetics problems are:

Student Session Topic: Particle Motion

Conservation Law. Chapter Goal. 5.2 Theory

State space systems analysis (continued) Stability. A. Definitions A system is said to be Asymptotically Stable (AS) when it satisfies

4.5 THE FUNDAMENTAL THEOREM OF CALCULUS

DIRECT CURRENT CIRCUITS

MATH 144: Business Calculus Final Review

1B40 Practical Skills

The Regulated and Riemann Integrals

UNIFORM CONVERGENCE. Contents 1. Uniform Convergence 1 2. Properties of uniform convergence 3

Chapters 4 & 5 Integrals & Applications

Math& 152 Section Integration by Parts

Math 1B, lecture 4: Error bounds for numerical methods

Fig. 1. Open-Loop and Closed-Loop Systems with Plant Variations

fractions Let s Learn to

Arithmetic & Algebra. NCTM National Conference, 2017

Calculus Module C21. Areas by Integration. Copyright This publication The Northern Alberta Institute of Technology All Rights Reserved.

Chapter 0. What is the Lebesgue integral about?

Integral points on the rational curve

Module 2. Analysis of Statically Indeterminate Structures by the Matrix Force Method. Version 2 CE IIT, Kharagpur

Warm-up for Honors Calculus

Matrix Solution to Linear Equations and Markov Chains

Kirchhoff and Mindlin Plates

4.4 Areas, Integrals and Antiderivatives

Name Class Date. Match each phrase with the correct term or terms. Terms may be used more than once.

Chapter 8.2: The Integral

Unit #9 : Definite Integral Properties; Fundamental Theorem of Calculus

Lecture 2: Fields, Formally

CALCULUS WITHOUT LIMITS

THE EXISTENCE-UNIQUENESS THEOREM FOR FIRST-ORDER DIFFERENTIAL EQUATIONS.

THREE-DIMENSIONAL KINEMATICS OF RIGID BODIES

Designing Information Devices and Systems I Spring 2018 Homework 7

dx dt dy = G(t, x, y), dt where the functions are defined on I Ω, and are locally Lipschitz w.r.t. variable (x, y) Ω.

Math 113 Exam 1-Review

Symmetrical Components 1

An Overview of Integration

Prep Session Topic: Particle Motion

Chapter 5 : Continuous Random Variables

Math Lecture 23

How can we approximate the area of a region in the plane? What is an interpretation of the area under the graph of a velocity function?

arxiv:math/ v2 [math.ho] 16 Dec 2003

The use of a so called graphing calculator or programmable calculator is not permitted. Simple scientific calculators are allowed.

I1 = I2 I1 = I2 + I3 I1 + I2 = I3 + I4 I 3

Math 520 Final Exam Topic Outline Sections 1 3 (Xiao/Dumas/Liaw) Spring 2008

4 VECTORS. 4.0 Introduction. Objectives. Activity 1

Unit 1 Exponentials and Logarithms

Transcription:

More Emphsis on Complex Numbers? The i 's Hve It! Rlph Fehr, P.E. St. Petersburg Junior College Clerwter Cmpus Presented t the Twenty-Ninth Annul Meeting Florid Section Mthemticl Assocition of Americ Mrch, 996 Reprinted December 2000 Jointly Hosted By

More Emphsis on Complex Numbers? The i s Hve It! Rlph Fehr, P.E. Electricl engineers perhps hve more prcticl pplictions of complex numbers thn ny other profession. Most students entering engineering progrms hve hd exposure to complex numbers in high school lgebr, but mny do not hve thorough understnding of the concepts relted to rel nd imginry numbers. Although student my be ble to perform rithmetic opertions on complex numbers correctly, the opertions often hve no significnt mening or physicl importnce to the student. If this is the cse, engineering principles built on the theory of complex numbers will be too bstrct to be comprehended totlly, resulting in n incomplete understnding of the engineering principle. BASIC APPLICATION OF COMPLEX NUMBERS The most importnt reltionship in electricl engineering is Ohm s Lw, which sttes tht voltge cross circuit element is equl to the product of the current through the element nd the impednce of the element. In lternting current (AC) circuits, the quntities of voltge, current, nd impednce re phsors in the complex plne. The horizontl xis of the complex plne indictes rel quntities, while the verticl xis denotes imginry quntities. The significnce of rel versus imginry is best seen by nlyzing nother complex quntity power. Power is the phsor product of voltge nd the complex conjugte of the current. To differentite between the rel nd imginry components of power, consider n electric motor. The rel component of electric power input to motor provides the output horsepower required to rotte the motor shft. The imginry component of electricl power estblishes the electromgnetic fields necessry for the motor to operte. Although the imginry component of the input power mkes no contribution to the mechnicl output of the motor, it does perform vitl function. In prcticl terms, the difference between the rel nd imginry components of electricl power is 90 phse displcement. A 90 rottion in the complex plne is chieved using the i opertor, where i =. Understnding tht the i opertor forces rottion in the complex plne is extremely importnt in comprehending lternting current theory. Without tht bsic understnding, the mthemetics nd the physics tht describe electricity remin decoupled. Thoroughly understnding the fundmentls of complex numbers becomes even more criticl when studying more complex topics, such s symmetricl components. SYMMETRICAL COMPONENTS OF UNBALANCED PHASOR SYSTEMS A pper on polyphse network nlysis ws presented by C. L. Fortescue t meeting of the Americn Institute of Electricl Engineers in 98. This pper proved tht ny unblnced system of n relted phsors cn be resolved into n systems of blnced phsors clled symmetricl components of the unblnced system. The method of symmetricl components is one of the most powerful nlysis tools vilble to the electricl engineer, s mny prcticl problems cnnot be solved redily without this technique. Understnding symmetricl components requires good understnding of complex numbers. Specificlly, opertions performed on complex quntities must hve physicl significnce to the student. If the opertions re crried out simply by executing formuls, n understnding of the problem is unlikely lthough correct numeric nswers might be found. To pply the concept of symmetricl components to n unblnced phsor system, the unblnced system must be decomposed into series of blnced (symmetricl) systems, ech contining the sme number of phses s the unblnced system. The phse displcement in ech sequence of symmetricl components is equl to 360 divided by the number of relted phsors in the unblnced system. In system of two unblnced phsors, the phse displcement between the sequences is 360 2=80. The 80 rottion is chieved by pplying n opertor of to one sequence to obtin the next.

Note tht cn be written in exponentil form using Euler s Identity s = e π i where the rel prt of the exponent indictes the rottion in the complex plne mesured in rdins. Since three phse systems re the most commonly-encountered polyphse electricl systems, n opertor tht cuses 20 rottion (360 3) is required. The letter is used to represent the 20 opertor, nd is defined s follows: = e 2π 3 i = 0.5 + 0.866i Consider the unblnced system of phsors V, V b, nd V c shown below. Figure Unblnced Phsor System This phsor digrm models typicl three-phse power system, where the phse A, phse B, nd phse C voltge mgnitudes re unequl, nd the ngulr displcement between the phses is lso unequl. The entire phsor system rottes in the counterclockwise direction t the rte of 20π rdins per second (for 60 hertz power system frequency, s is used in the United Sttes). Anlyzing n unblnced phsor system is very difficult. If the system ws blnced ( V = V b = V c, nd the ngulr displcement from one phsor to the next is 20 ), then it could be nlyzed using only V ( single phse system) nd pplying principles of symmetry to determine the behvior of phses B nd C. Single phse nlysis is reltively simple, but unfortuntely it is not pplicble to unblnced systems. If the unblnced system ws trnsformed to three blnced systems, however, simpler nlysis techniques could be employed. The first symmetricl system hs phse sequence the sme s the unblnced system, nd is clled the positive sequence, denoted with subscript of. The second symmetricl system hs phse sequence opposite of the unblnced system, so it is clled the negtive sequence, nd is indicted with subscript of 2. The third symmetricl system hs no ngulr displcement between its phses, nd is termed the zero sequence, signified with subscript of 0. All three sequences rotte in the sme direction s the genertor rotor tht produced them. Figure 2 Positive, Negtive, nd Zero Sequences

In his pper, Fortescue defined bidirectionl trnsformtions between blnced nd unblnced phsor systems. The following mtrix eqution shows how n unblnced system of phsors V, V b, nd V c cn be resolved into symmetricl components V 0, V, nd V 2. V0 V = V2 3 2 V 2 Vb V c For phse A, voltge V is the phsor sum of the three symmetricl components tht mke up V, nmely, V, V 2, nd V 0. Phses B nd C re obtined similrly. Vectorlly, the reltionship between the unblnced system nd the blnced systems cn be seen esily. Figure 3 Symmetricl Components of Unblnced System Once the unblnced system of V, V b, nd V c is trnsformed to the blnced systems of V 0, V, nd V 2, bsic circuit nlysis techniques cn be used to nlyze the system s single phse system. The single phse solutions cn be trnsformed bck into unblnced phsors by pplying the following mtrix eqution. V Vb = V c 2 V0 V 2 V2 Although the mthemtics re reltively strightforwrd, to fully understnd the electricl theory behind symmetricl components, thorough understnding of the mthemticl theory of complex numbers is necessry. Fmilirity with mnipultions on the complex plne, where the horizontl xis represents rel vlues nd the verticl xis represents imginry vlues, is fundmentl to mstering the electricl principles modeled by the symmetricl components. For exmple, it must be relized tht multiplying phsor by ( 0.5 + 0.866 i) simply rottes the phsor 20 counterclockwise. If the mthemtics re blindly performed, the correct numeric nswer will be obtined, but the problem will not truly be understood. This scenrio (getting the right nswer but not relly knowing how) is common t ll levels, from grde school through the professionl world, nd poses mjor obstcle to problem solving. It is essentilly cused by prtil understnding of concept s opposed to complete mstery. Achieving thorough understnding of bsic mthemticl principles is n excellent strt to the complete understnding of complicted scientific situtions. For the electricl engineer, mstery of complex numbers provides the foundtion necessry to understnd the most complicted electricl systems.

POSSIBLE SOLUTION TO THE PROBLEM OF "PARTIAL UNDERSTANDING" Involvement nd ppliction re perhps the key ingredients for success in solving the problem of prtil understnding. Demonstrtions cn be beneficil to some students, but being involved in the exercise tends to reinforce the importnt concepts to higher degree thn simply observing demonstrtion. Selecting ctivities where the ppliction is pprent is lso importnt. Every mth techer hs herd the line, Wht will I ever use this for? Grnted, some mthemticl concepts re more esily nd more frequently pplied to everydy problems thn others, but every topic tught hs some kind of ppliction. If not, why is the topic tught? If the instructor goes out of his or her wy to illustrte the pplictions of ech topic s it is studied, severl results re likely to be seen. First, since the pplictions re mde known to the student from the strt, mny students will mke more conscientious effort to understnd the mteril thoroughly s opposed to simply lerning it just well enough to pss the next test. Also, more clss prticiption is likely when pplictions of theory re presented. It is this uthor s experience tht s pplictions re presented to the clss, ttention spns increse, discussions ensue, nd grdes improve. To convince students of the importnce of understnding theoreticl mthemticl concepts thoroughly, prcticl exercises bsed on mthemticl theory should begin t the elementry school level. Involving students in exercises tht require the solution of prgmtic problems by using mthemticl methods is n effective wy of coupling the theoreticl mthemtics with the prcticl ppliction. As students re exposed to this pproch, they often begin seeking ties between theory nd ppliction on their own. The use of interctive exercises helps to hold the ttention of some students who might otherwise lose interest. New technologies hve much to offer in the wy of providing interctive ctivities. Computer-bsed simultions, for exmple, provide n excellent medium for presenttions s well s individul or tem investigtion. As students work with softwre-bsed eductionl mterils, they re lso developing computer skills tht undoubtedly will continue to grow in importnce. Computers re lso excellent tools to use for visulizing mthemticl processes. An opertion such s convolution, for exmple, seems bstrct when viewed mthemticlly, but becomes quite understndble when viewed grphiclly. Integrtion is nother topic where visul pproch is very beneficil. Although figure in textbook my dequtely convey point, n interctive nd nimted pproch on computer screen cn communicte the sme informtion, nd will likely hve more of n influence on the typicl student thn pge from textbook. Mny students feel tht mthemtics my be importnt to some specific occuptions, but fil to see the diversity of its pplictions. As n engineer, it is tempting to show engineering-relted pplictions of the mteril covered in clss while overlooking the non-engineering pplictions. Relisticlly, however, very few of my students will become engineers. A deliberte effort must be mde to show how mny diverse pplictions of mthemtics exist. By intentionlly vrying the scope of pplictions s much s possible, the brod spectrum of voctions tht rely on mthemtics cn be seen. It is fctors such s this kind of vriety tht cn mke mthemtics fscinting subject to study. CONCLUSION The field of engineering contins mny exmples of complicted concepts tht re bsed on more fundmentl ides. Mny of these fundmentl ides re mthemticl in nture. While cursory understnding of the mthemtics my be sufficient for the student to solve some engineering problems, thorough understnding of the bsics is necessry for totl comprehension of the more involved concepts. Complex numbers s pplied in the field of electricl engineering provide one of mny exmples of topic tht requires thorough understnding of bsic mthemticl principles. Often when concept is first tught, it is presented s theory without strong ties to prcticl pplictions. When this hppens, mny students fil to see pplictions on their own. Consequently, they do not hve the motivtion necessry to invest the effort needed to fully understnd the subject. In mny cses, the subject will be lerned well enough to pss the next test, but will soon be forgotten. Even if it is not forgotten totlly, the student will

probbly not be ble to pply it to the solution of prcticl problems, since the concepts were relly never understood. When topic is presented to students, the instructor should strive to mximize the interest level. Involving students in discussions, tem projects relting course mteril to rel world situtions, nd utilizing udiovisul nd computer presenttion methods often help increse interest levels, but every clss responds differently. The instructor needs to be wre of interest level nd be willing to mke djustments to increse it s necessry. In order to truly understnd concept, student must first hve desire to understnd it. Prt of the instructor s role should be to encourge tht desire in ll of his or her students. The methods of encourgement re limited only by the imgintion of the instructor. BIBLIOGRAPHY. Chrles L. Fortescue, Method of Symmetricl Coordintes Applied to the Solution of Polyphse Networks, Trnsctions of the AIEE, vol. 37, pp. 027-40, 98. 2. Willim D. Stevenson, Jr., Elements of Power System Anlysis, 4 th edition, McGrw-Hill, pp. 275-302, 982, ISBN 0-07-06278-. ABOUT THE AUTHOR Rlph Fehr hs been n djunct mthemtics instructor t St. Petersburg Junior College, Clerwter Cmpus, since 994. He erned B.S. degree in Electricl Engineering from the Pennsylvni Stte University nd n M.E. degree in Electricl Engineering (power) from the University of Colordo t Boulder. He tught clsses on computer operting systems nd computer-ided design t the University of New Mexico in Albuquerque. He is senior engineer t Florid Power Corportion, nd is registered professionl engineer in Florid nd New Mexico.