PERFORMANCE analysis of an airplane consists

Size: px
Start display at page:

Download "PERFORMANCE analysis of an airplane consists"

Transcription

1 WESTERN JOINT COMPUTER CONFERENCE is presented in Fig. 7, shoing the forces hich act upon it, as ell as a numerical verification that the equilibrium conditions are satisfied. It is perhaps superfluous to add that the final test of results obtained ith any such mathematical model must be their reasonableness, based upon experience ith the behavior of similar structures and upon experimental verification henever this is possible. CONCLUSIONS A general digital-computer program for static stress analysis has been described. This program is applicable to a large class of structures ithout additional programming time, and relieves the stress analyst of most of the computational burden. After the analyst has idealized the structure, and has made it statically determinate, his task consists of a straightforard tabulation of elastic and geometric properties. Once a unit load solution has been obtained, multiple load conditions can be investigated at little additional cost, and the effect of varied elastic properties can be studied by rerepeating only the solution of the continuity equations. Extensive use of magnetic tapes makes possible the large-order matrix operations characteristic of the stress analysis problem. The program is designed throughout for economy of computation. Aircraft Performance Studied on an Electronic Analog Computer L. B. WADEL AND C. C. WANt INTRODUCTION PERFORMANCE analysis of an airplane consists of the study of various operating characteristics and operating limits. These characteristics may be divided essentially into three major groups as follos: 1. Performance at Constant A ltitudes. These include the conventional performance characteristics such as maximum speed, rate of climb, and equilibrium turn performance. All of these items may be determined by comparison of "thrust available" and "thrust required" for steady-state operations, based on constant airplane eight and constant altitude. 2. Performance at Varying Altitudes. For certain portions of a typical flight program, fuel economy and elapsed time become factors' of major importance. It is necessary to establish a theoretical optimum operating schedule hich ould serve as an upper bound to the attainable performance. Optimum-climb programs for an Interceptor and optimum-cruise profiles for a long range bomber belong to this category. Although these problems may be rigorously resolved by means of the calculus of variations, equivalent methods requiring only steady-state considerations can be formulated to yield the required solutions. 3. Range Performance. The maximum range, or radius of action, of an airplane for a specific mission profile is one of the most important items in performance analysis. Here, the variation of operating altitudes and airplane eight must be properly accounted for. Generally, this can be achieved through appropriate combination of results obtained from the first to groups. t Chance Vought Aircraft, Inc., Dallas, Tex. During the preliminary design of a prototype aircraft, a fairly exhaustive study of range performance is usually carried out for a range of design parameters. The proper selection of compromises among these design parameters is made on the basis of the results obtained from such a study. Similar performance calculations ould be made also for guided missiles, but different properties ill be emphasized. For production aircraft, performance data must be presented in the pilot's handbook. A ide range of variations in atmospheric conditions and mission types is usually included in this presentation. It may readily be realized that a large amount of computational effort is necessary to provide a complete assessment of the pertinent performance characteristics of an aircraft. It is, therefore, desirable to mechanize performance calculations as much as possible. Several exploratory analog computer studies have been made, ith promising results, of certain performance characteristics of a high speed fighter aircraft. The method of approach and the nature of the results obtained during these studies are described in this paper. THE ELECTRONIC ANALOG COMPUTER The general-purpose electronic analog computer (electronic differential analyzer) as e kno it today as developed in the years immediately folloing World War II; its original mission as to solve the ordinary differential equations hich describe the dynamic behavior of guided missiles. The key to such computers is the operational or computing amplifier. This is a highgain dc amplifier hich, hen supplied ith proper precision input and feedback impedances (usually resistors and capacitors), performs summation, integration, signchanging, or other more specialized linear operations.

2 Wadel and Wan: Aircraft Performance Studied on an Electronic A nalog Computer 79 Other computer components are potentiometers, used to establish constant coefficients and additive constants, and such nonlinear devices as multipliers and arbitrary function generators. For a given problem, these basic "building blocks" are interconnected such that the mathematical equations of the electrical behavior of the circuits so established are identical ith the equations corresponding to the aerodynamic, mechanical, chemical, pneumatic, hydraulic, economic, biological, electrical, or electronic system or process that is under investigation. At any time the output of a given unit in volts represents the value of a variable, or a function of a variable or combination of variables in the system being studied. Direct-recording oscillographs provide time-histories of selected outputs. For most problems solved on electronic analog computers, nonlinearities, although often important, are fe in number. Attention is focused upon relatively small dynamic oscillations about a predetermined set of equilibrium conditions. The order of the system of differential equations being solved determines the number of integrators. For example, the linearized equations for the control-fixed longitudinal motion of an aircraft require four integrators. The number of summers and signchangers, as ell as potentiometers, depends upon the number and signs of the terms in the equations. Perhaps 3 per cent of the amplifiers employed ill be in tegra tors. As noted earlier in the paper, e are concerned here ith the solution of problems of special concern to the aircraft designer. Obviously, e must kno hat equilibrium flight conditions are possible or desirable for an aircraft or missile before it makes sense to discuss dynamic performance about a certain flight condition. As far as the computer is concerned, hat is special about performance equations? Qualitatively,,nothing. The same type of computer components are required, but the emphasis is drastically shifted. The percentage of integrators required may drop to 5 or less, but multipliers and function generators are required in profusion. The many nonlinearities in the equations assume fundamental importance, and their accurate representation in the computer becomes the prime difficulty in solving the equations. INPUT DATA Basic data required for performance analysis may be grouped into four general categories as follos: 1. Aerodynamic Data. These include the lift and drag characteristics. The drag coefficients, being directly related to thrust required, require careful simulation. These coefficients are functions of both Mach number and the lift coefficient. 2. Poer Plant Data. These include the installed thrust and corrected fuel rate for a specific poer plant installation. These coefficients are concerned ith available thrust and fuel rate hich are functions of altitude, Mach number and poer setting. A very elaborate simulation setup is usually required for these coefficients. 3. Atmospheric Data. These include the air density and the speed of sound; they are functions of altitude only. 4. Geometrical and Weight Data. These are essentially constant factors for a particular design. Hoever, for problems involving the consideration of the entire flight profile, the fuel rate and other step variations due to jettisoning of bombs or external stores must be taken into account. The general approach to the simulation problem is to establish a polynomial approximation to the basic data in terms of the most significant independent variables. By this means, functions of more than one variable may be simulated by a combination of function generators and multiplying servomechanisms. For example, the drag coefficien t CD of an airplane may be expressed in terms of the lift coefficient C L as CD = do + d 2CL 2 + d4cl 4, here do, d 2 and d 4 are all functions of Mach number and may be stored on such function devices as photoformers, diode function generators, or nonlinear potentiometers. CONSTANT ALTITUDE PERFORMANCE Performance characteristics of an airplane at constant altitude is related to the difference beteen the available thrust (T) and the total airplane drag (D). It is, therefore, necessary to generate by appropriate function devices these to quantities for various operating conditions. The range of simulation, of course, should be sufficiently extensive to include all conceivable altitudes and speeds. The available thrust is a function of both altitude and speed for a specific airplane-poer plant combination. The airplane drag maybe expressed in terms of the airplane drag coefficient (CD) as here q* is the dynamic pressure at sonic speed and a function of altitude, S is the ing area, M is the Mach number and CD is further related to the airplane lift coefficien t (C L) by The airplane lift coefficient is related to the airplane eight (W) and the airplane load factor (n) by the equation For constant altitude performance calculations, the airplane eight is usually treated as a constant. 1. Equilibrium Turn Performance. During equilibrium turns, there is to be no loss in speed and altitude. The controlling equation is therefore (1) (2) (3) T - D = o. (4)

3 WESTERN JOINT COMPUTER CONFERENCE The airplane load factor (n) corresponding to this condition is of considerable interest for fighter type aircraft, as it provides an index to the maneuverability of the aircraft. Furthermore, the maximum and the minimum speeds for level flight may be defined by means of (4) by setting the airplane load factor equal to one. A feedback circuit may be used for equilibrium turn computation by treating the quantity (T-D) as an error signal input to the C L channel. An integrator may be used to provide a variable Mach number input so that the final turning performance curve may be recorded directly on a plotter. Typical results of this calcula tion are displayed in Fig. 1. c:: 6 t- o ~4 « MACH NUMBER Fig. i-equilibrium turn performance of a typical fighter airplane. 2. Acceleration Characteristics. The time required to reach a given speed and the variation of speed during a turning maneuver are required in the study of combat situations. Depending on the magnitude of the airplane load factor during the turn, the quantity (T-D) may be either positive or negative. The equilibrium turn discussed above defines a limiting case here this quantity (T-D) is zero. When the airplane load factor is higher than the equilibrium turn load factor, at the same Mach number, the airplane ould decelerate. Acceleration is only possible hen the airplane load factor is loer than the equilibrium turn load factor. For operations at constant altitudes, it is convenient to study only turn at constant load factors. The basic equation for this case is (Wa/g)M = T - D, (5) here a is the speed of sound at the given altitude and g is the gravitational acceleration'. The constant load factor under consideration may be used as a limiter for the generation of the CL signal. The time history may be obtained through integration of (5). Typical results of this problem are displayed in Fig Rate oj Climb. The classical treatment of rate of climb is based on constant speed operations at fixed poer setting. Under these conditions the rate of climb (it) maybe expressed as it = (T - D)Ma/W, (6) hen a is the speed of sound and a function of altitude. The airplane drag term in (6) must be evaluated for a lift coefficient (C L) defined by CL = CLJW - T(ao + e)]/[t + q*sm2cla J. (7) In (7), CLa is the slope of the trimmed lift coefficient curve ith respect to the angle of attack, CXo is the angle of the zero lift line and e is the thrust angle. Both C La and CXo are usually functions of Mach number hile the thrust angle is a constant for a specific airplane. 14 c:r: en ~ 12 z J: o «1 ~ = LOULA rred V~LUES V n=15 / -- / V ~ } /' n-2 f/ n'", -,.!!!J...8 o 1 2 ~ 4 TIME IN SECONDS Fig. 2-Acceleration characteristics of a typical fighter airplane. The rate of climb may be obtained by direct computation by means of only function devices and appropriate circuitry. An integrator may be included to provide a variable Mach number input and the final rate of climb at constant altitude may be recorded directly on a plotter. The best-climb speed and the best-climb Mach number may be obtained from this plot. Typical examples of rate of climb calculations are displayed in Fig frl ~18 t-= 1L ~ 16 ::i u 1L 14 LLJ ~ 12 :: 1 ~ MACH NUMBER Fig. 3-Rate of climb characteristics of a typical fighter airplane. PERFORMANCE AT VARYING ALTITUDES In addition to the constant altitude performance discussed above, it is frequently desirable to establish optimum operating schedules for various portions of a flight plan. Typical among these are the optimum climb profile and the optimum cruise profile. The optimization in these cases may be made on the basis of either fuel economy or elapsed time. Although these

4 Wadel and Wan: Aircraft Performance Studied on an Electronic Analog Computer 81 problems could be formulated rigorously by means of the calculus of variations, solutions are not alays attainable due to mathematical complexities. Equivalent methods requiring only steady-state considerations are available, hereby the solutions may be obtained by graphical means. Certain parametric curves must be constructed, hoever, before proceeding ith the graphical solution. The types of parametric curves required are listed in Table I for both optimum climb and optimum cruise calculations. A discussion of the significance of these curves may be found,l but is not included here for the sake of brevity. Additional function devices are required to generate the fuel rate input (Wf) for these calculations. Optimum Climb Optimum Cruise TABLE I PARAMETRIC CURVES FOR PERFORMANCE CALCULATIONS Minimum Time Minimum Fuel h=(t-d)ma/w = constant k/j = constant h-mplane h-mplane Maximum h=constant f-m plane Time Minimum h=constant Ma/f-M plane Fuel '. For optimum climb calculations, the pertinent factors may be maintained at a constant value by using the deviation from the constant as a feedback to the altitude channel. For optimum cruise calculations, direct computation is possible and no special technique is required. RANGE PERFORMANCE The calculation of maximum range, or radius of action, of an aircraft requires the consideration of the complete profile necessary for the accomplishment of a specific mission. Fig. 4 shos schematically the various hile others may be typical of the particular aircraft, regardless of mission. An initial guide to the other phases can be obtained from the results of previous performance calculations. Because of the complexity of the equations and the number of phases of flight, radius of action may be computed most easily by an iterative procedure. This method may be illustrated by the folloing much-simplified example: Consider a flight to consist only of a straight-line cruise-to-target phase plus an immediate return-cruise phase, all at a constant speed and altitude (no ind), ith an instantaneous discharge of a eight W over the target. The folloing equations then apply: (for a typical airplane) W = 1 5 C L lb. T = 1 5 C D = 1 5 ( C.&2) lb. TV = - Wf = T lb/hr. x = Vt. Given: W(o) =3, lb. W = bomb eight = 2, lb. Wee) = minimum landing eight=2, lb. V = speed = 5 knots (8) (9) (1) (11) A possible iteration scheme is as follos: Choose a trial radius of action R o, corresponding to a time-to-target, to. Carry out the computations outlined above, stopping hen t =to. Reduce W by, then continue until the allotted fuel is exhausted. The total distance covered ill be Xo=Ro+ro, here ro is the return distance traveled from the target. We seek a radius of action R such that r = R, or X = 2R; i.e., fuel exhausted exactly upon return to base. To find this radius of action, e choose Rl =Xo/c (in general, Rk+l =Xk/c), and repeat the solu,tions until sufficient convergence is achieved. It is possible to make such iteration automatically handled by an electronic analog computer.2 Fig. 5 shos the <V Q) Q) TAKE - RETURN CRUISE CRUISE (i) COMBAT Fig. 4-Typical mission profile. phases of flight: take-off, climb, cruise, combat, return cruise, descent, and landing. The characteristics of certain phases ill be determined by the specific mission, 1 E. S. Rutoski, "Energy approach to the general aircraft performance problem," Jour. Aeronaut. Sci., vol. 21, pp ; March, ~ 35,------,---,---,----, ; 3 k !t J: RUN 3 RUN 2 RUN 1 ~ tlof-7,..., j 3: ~ 2 ~= Lj ii a:: 196 N,M-+---~ «15 I--.L.-..l--.l--_---l o 1 2 DISTANCE IN NAUTICAL MILES Fig. 5-Iterative solution of a range problem. 2 L. B. Wadel, "Automatic Iteration on an Electronic Analog Computer." 1954 Western Electronics Sho and Convention; August 25, 1954.

5 WESTERN JOINT COMPUTER CONFERENCE cessive results obtained for the sample problem just discussed. In this case an analytical solution exists, yielding R = 1,25 nautical miles. To handle actual radius of action problems, it ould be desirable to incorporate in the computer automatic sitching beteen successive phases of a flight plan, as ell as a more sophisticated automatic iteration technique. CONCLUSION AND FUTURE PLANS Several exploratory electronic analog computer studies have been made of certain performance capabilities of a modern, high-speed fighter aircraft; the method of approach and the nature of the results obtained for a theoretical aircraft have been described. A longer-range program is under study hich ould make available sufficient computer equipment, - particularly function generators, and develop applicable techniques such that complete missions may be studied at once. A compromise is thus sought beteen special-purpose computing equipment that cannot easily be used for other purposes, and the general-purpose electronic analog computer hose normal complement of computer elements is not chosen for maximum efficiency in solving performance problems. It is believed that considerable advantages of speed and convenience may thus be achieved in the preliminary design of aircraft or missiles, and in the later tabulation of data for the pilot's handbook. ACKNOWLEDGMENT I t is a pleasure to acknoledge the general assistance of C. C. Calvin, B. B. Mackey, Mrs. Olive Warram and Mrs. Evan Cotten, as ell as the assistance of Mmes. Wilma Drake and Martha Cohen in typing the manuscript and Mrs. Elizabeth Bird in executing the figures. Coding a General-Purpose Digital Computer to Operate as a Differential Analyzer R. G. SELFRIDGEt Summary-This paper describes a system of coding a generalpurpose digital computer so that differential equations may be solved easily and rapidly. While originally developed for an IBM 71, the system is applicable to any of several large computers, in that at no stage is any reference to a particular machine needed. The process is such that any engineer ho has learned ho to set up an analog computer should be able to code ithout hesitation, and should have very little difficulty even if no prior computer experience exists. No attempt has been made to solve partial differential equations. The present system could be used, but ould be inefficient in all but the simplest problems. INTRODUCTION THE SYSTEM TO BE described in this paper as set up specifically to enable problems hich ere to be run on a REAC analog computer to be run instead on an IBM 71 computer. The reason for this as tofold. First, that larger problems could be handled by a digital machine than as possible on the available analog computer, and secondly, that greater accuracy as possible. To some extent, therefore, there is a bias toards these to machines. Nevertheless, the basic ideas can easily be used on any COIllPuter ith consequent advantages. Nearly all the tricks available to an analog user can be duplicated ith extreme ease, and in many cases the desired result is available ithout resorting to such tricks. t USNOTS, Inyokern, Calif. Since presently available digital computers operate serially, that is, only one operation is performed at a time, the solution of the equations ill proceed step by step, one function at a time. Each equation must therefore be broken don into all its parts, and each part developed as needed. In the course of this breakdon each function is assigned a location, an amplifier number for an analog computer, or storage address for the digital computer. For the present coding there is no need or advantage in knoing here the actual storage takes place in the computer. After assigning the storage locations (amplifier numbers), the coding for each location must be set up. For the digital computer this consists of a series of numbers; for the analog computer it is a iring diagram and actual iring of a patch board. What follos is a brief description of the coding that the digital computer ill accept and then a comparison of the advantages and disadvantages ith an analog computer. The system as presented here has been changed slightly to eliminate a fe details that are tied to the specific machine and dependent primarily on the method by hich the system is constructed. One such case is the permissible range of multiplication constants. DESCRIPTION The operations that are available consist of addition, multiplication, division, integration, and a relay operation. Each of these operations is assigned a number, and

AE Stability and Control of Aerospace Vehicles

AE Stability and Control of Aerospace Vehicles AE 430 - Stability and ontrol of Aerospace Vehicles Static/Dynamic Stability Longitudinal Static Stability Static Stability We begin ith the concept of Equilibrium (Trim). Equilibrium is a state of an

More information

Effects of Asymmetric Distributions on Roadway Luminance

Effects of Asymmetric Distributions on Roadway Luminance TRANSPORTATION RESEARCH RECORD 1247 89 Effects of Asymmetric Distributions on Roaday Luminance HERBERT A. ODLE The current recommended practice (ANSIIIESNA RP-8) calls for uniform luminance on the roaday

More information

Fundamentals of Airplane Flight Mechanics

Fundamentals of Airplane Flight Mechanics David G. Hull Fundamentals of Airplane Flight Mechanics With 125 Figures and 25 Tables y Springer Introduction to Airplane Flight Mechanics 1 1.1 Airframe Anatomy 2 1.2 Engine Anatomy 5 1.3 Equations of

More information

Why do Golf Balls have Dimples on Their Surfaces?

Why do Golf Balls have Dimples on Their Surfaces? Name: Partner(s): 1101 Section: Desk # Date: Why do Golf Balls have Dimples on Their Surfaces? Purpose: To study the drag force on objects ith different surfaces, ith the help of a ind tunnel. Overvie

More information

/ m U) β - r dr/dt=(n β / C) β+ (N r /C) r [8+8] (c) Effective angle of attack. [4+6+6]

/ m U) β - r dr/dt=(n β / C) β+ (N r /C) r [8+8] (c) Effective angle of attack. [4+6+6] Code No: R05322101 Set No. 1 1. (a) Explain the following terms with examples i. Stability ii. Equilibrium. (b) Comment upon the requirements of stability of a i. Military fighter aircraft ii. Commercial

More information

Chapter 5 Performance analysis I Steady level flight (Lectures 17 to 20) Keywords: Steady level flight equations of motion, minimum power required,

Chapter 5 Performance analysis I Steady level flight (Lectures 17 to 20) Keywords: Steady level flight equations of motion, minimum power required, Chapter 5 Performance analysis I Steady level flight (Lectures 17 to 20) Keywords: Steady level flight equations of motion, minimum power required, minimum thrust required, minimum speed, maximum speed;

More information

Aircraft Performance, Stability and control with experiments in Flight. Questions

Aircraft Performance, Stability and control with experiments in Flight. Questions Aircraft Performance, Stability and control with experiments in Flight Questions Q. If only the elevator size of a given aircraft is decreased; keeping horizontal tail area unchanged; then the aircraft

More information

Flight and Orbital Mechanics

Flight and Orbital Mechanics Flight and Orbital Mechanics Lecture slides Challenge the future 1 Flight and Orbital Mechanics Lecture hours 3, 4 Minimum time to climb Mark Voskuijl Semester 1-2012 Delft University of Technology Challenge

More information

Prediction of Top of Descent Location for Idle-thrust Descents

Prediction of Top of Descent Location for Idle-thrust Descents Prediction of Top of Descent Location for Idle-thrust Descents Laurel Stell NASA Ames Research Center Background 10,000 30,000 ft Vertical profile from cruise to meter fix. Top of Descent (TOD) idle thrust

More information

3-D FINITE ELEMENT MODELING OF THE REMOTE FIELD EDDY CURRENT EFFECT

3-D FINITE ELEMENT MODELING OF THE REMOTE FIELD EDDY CURRENT EFFECT 3-D FINITE ELEMENT MODELING OF THE REMOTE FIELD EDDY CURRENT EFFECT Y. Sun and H. Lin Department of Automatic Control Nanjing Aeronautical Institute Nanjing 2116 People's Republic of China Y. K. Shin,

More information

MATHEMATICAL MODELS OF PHYSICAL SYSTEMS. by Kenneth J. Cox Introduction

MATHEMATICAL MODELS OF PHYSICAL SYSTEMS. by Kenneth J. Cox Introduction MATHEMATICAL MODELS OF PHYSICAL SYSTEMS by Kenneth J. Cox Introduction This paper will examine the role of mathematical models in obtaining information concerning physical systems. In order to place the

More information

Science Degree in Statistics at Iowa State College, Ames, Iowa in INTRODUCTION

Science Degree in Statistics at Iowa State College, Ames, Iowa in INTRODUCTION SEQUENTIAL SAMPLING OF INSECT POPULATIONSl By. G. H. IVES2 Mr.. G. H. Ives obtained his B.S.A. degree at the University of Manitoba in 1951 majoring in Entomology. He thm proceeded to a Masters of Science

More information

FLIGHT DYNAMICS. Robert F. Stengel. Princeton University Press Princeton and Oxford

FLIGHT DYNAMICS. Robert F. Stengel. Princeton University Press Princeton and Oxford FLIGHT DYNAMICS Robert F. Stengel Princeton University Press Princeton and Oxford Preface XV Chapter One Introduction 1 1.1 ELEMENTS OF THE AIRPLANE 1 Airframe Components 1 Propulsion Systems 4 1.2 REPRESENTATIVE

More information

Performance. 7. Aircraft Performance -Basics

Performance. 7. Aircraft Performance -Basics Performance 7. Aircraft Performance -Basics In general we are interested in finding out certain performance characteristics of a vehicle. These typically include: how fast and how slow an aircraft can

More information

Lecture 3a: The Origin of Variational Bayes

Lecture 3a: The Origin of Variational Bayes CSC535: 013 Advanced Machine Learning Lecture 3a: The Origin of Variational Bayes Geoffrey Hinton The origin of variational Bayes In variational Bayes, e approximate the true posterior across parameters

More information

Long run input use-input price relations and the cost function Hessian. Ian Steedman Manchester Metropolitan University

Long run input use-input price relations and the cost function Hessian. Ian Steedman Manchester Metropolitan University Long run input use-input price relations and the cost function Hessian Ian Steedman Manchester Metropolitan University Abstract By definition, to compare alternative long run equilibria is to compare alternative

More information

Response of NiTi SMA wire electrically heated

Response of NiTi SMA wire electrically heated , 06037 (2009) DOI:10.1051/esomat/200906037 Oned by the authors, published by EDP Sciences, 2009 Response of NiTi SMA ire electrically heated C. Zanotti a, P. Giuliani, A. Tuissi 1, S. Arnaboldi 1, R.

More information

Mechanics of Flight. Warren F. Phillips. John Wiley & Sons, Inc. Professor Mechanical and Aerospace Engineering Utah State University WILEY

Mechanics of Flight. Warren F. Phillips. John Wiley & Sons, Inc. Professor Mechanical and Aerospace Engineering Utah State University WILEY Mechanics of Flight Warren F. Phillips Professor Mechanical and Aerospace Engineering Utah State University WILEY John Wiley & Sons, Inc. CONTENTS Preface Acknowledgments xi xiii 1. Overview of Aerodynamics

More information

Enhancing Generalization Capability of SVM Classifiers with Feature Weight Adjustment

Enhancing Generalization Capability of SVM Classifiers with Feature Weight Adjustment Enhancing Generalization Capability of SVM Classifiers ith Feature Weight Adjustment Xizhao Wang and Qiang He College of Mathematics and Computer Science, Hebei University, Baoding 07002, Hebei, China

More information

Early & Quick COSMIC-FFP Analysis using Analytic Hierarchy Process

Early & Quick COSMIC-FFP Analysis using Analytic Hierarchy Process Early & Quick COSMIC-FFP Analysis using Analytic Hierarchy Process uca Santillo (luca.santillo@gmail.com) Abstract COSMIC-FFP is a rigorous measurement method that makes possible to measure the functional

More information

Drag Computation (1)

Drag Computation (1) Drag Computation (1) Why drag so concerned Its effects on aircraft performances On the Concorde, one count drag increase ( C D =.0001) requires two passengers, out of the 90 ~ 100 passenger capacity, be

More information

5 Quantum Wells. 1. Use a Multimeter to test the resistance of your laser; Record the resistance for both polarities.

5 Quantum Wells. 1. Use a Multimeter to test the resistance of your laser; Record the resistance for both polarities. Measurement Lab 0: Resistance The Diode laser is basically a diode junction. Same as all the other semiconductor diode junctions, e should be able to see difference in resistance for different polarities.

More information

Flight and Orbital Mechanics. Exams

Flight and Orbital Mechanics. Exams 1 Flight and Orbital Mechanics Exams Exam AE2104-11: Flight and Orbital Mechanics (23 January 2013, 09.00 12.00) Please put your name, student number and ALL YOUR INITIALS on your work. Answer all questions

More information

Logic Effort Revisited

Logic Effort Revisited Logic Effort Revisited Mark This note ill take another look at logical effort, first revieing the asic idea ehind logical effort, and then looking at some of the more sutle issues in sizing transistors..0

More information

Chapter 1 Lecture 2. Introduction 2. Topics. Chapter-1

Chapter 1 Lecture 2. Introduction 2. Topics. Chapter-1 Chapter 1 Lecture 2 Introduction 2 Topics 1.4 Equilibrium of airplane 1.5 Number of equations of motion for airplane in flight 1.5.1 Degrees of freedom 1.5.2 Degrees of freedom for a rigid airplane 1.6

More information

Accurate and Estimation Methods for Frequency Response Calculations of Hydroelectric Power Plant

Accurate and Estimation Methods for Frequency Response Calculations of Hydroelectric Power Plant Accurate and Estimation Methods for Frequency Response Calculations of Hydroelectric Poer Plant SHAHRAM JAI, ABOLFAZL SALAMI epartment of Electrical Engineering Iran University of Science and Technology

More information

The Fighter of the 21 st Century. Presented By Michael Weisman Configuration Aerodynamics 4/23/01

The Fighter of the 21 st Century. Presented By Michael Weisman Configuration Aerodynamics 4/23/01 The Fighter of the 21 st Century Presented By Michael Weisman Configuration Aerodynamics 4/23/01 1 Joint Strike Fighter (JSF) Program Its purpose is to develop and field an affordable and highly common

More information

Linear models: the perceptron and closest centroid algorithms. D = {(x i,y i )} n i=1. x i 2 R d 9/3/13. Preliminaries. Chapter 1, 7.

Linear models: the perceptron and closest centroid algorithms. D = {(x i,y i )} n i=1. x i 2 R d 9/3/13. Preliminaries. Chapter 1, 7. Preliminaries Linear models: the perceptron and closest centroid algorithms Chapter 1, 7 Definition: The Euclidean dot product beteen to vectors is the expression d T x = i x i The dot product is also

More information

Analysis of Nonlinear Characteristics of Turbine Governor and Its Impact on Power System Oscillation

Analysis of Nonlinear Characteristics of Turbine Governor and Its Impact on Power System Oscillation Energy and Poer Engineering, 203, 5, 746-750 doi:0.4236/epe.203.54b44 Published Online July 203 (http://.scirp.org/journal/epe) Analysis of Nonlinear Characteristics of Turbine Governor and Its Impact

More information

Fundamentals of DC Testing

Fundamentals of DC Testing Fundamentals of DC Testing Aether Lee erigy Japan Abstract n the beginning of this lecture, Ohm s la, hich is the most important electric la regarding DC testing, ill be revieed. Then, in the second section,

More information

3 - Vector Spaces Definition vector space linear space u, v,

3 - Vector Spaces Definition vector space linear space u, v, 3 - Vector Spaces Vectors in R and R 3 are essentially matrices. They can be vieed either as column vectors (matrices of size and 3, respectively) or ro vectors ( and 3 matrices). The addition and scalar

More information

These notes give a quick summary of the part of the theory of autonomous ordinary differential equations relevant to modeling zombie epidemics.

These notes give a quick summary of the part of the theory of autonomous ordinary differential equations relevant to modeling zombie epidemics. NOTES ON AUTONOMOUS ORDINARY DIFFERENTIAL EQUATIONS MARCH 2017 These notes give a quick summary of the part of the theory of autonomous ordinary differential equations relevant to modeling zombie epidemics.

More information

of Digital Electronics

of Digital Electronics 26 Digital Electronics 729 Digital Electronics 26.1 Analog and Digital Signals 26.3 Binary Number System 26.5 Decimal to Binary Conversion 26.7 Octal Number System 26.9 Binary-Coded Decimal Code (BCD Code)

More information

Aero-Propulsive-Elastic Modeling Using OpenVSP

Aero-Propulsive-Elastic Modeling Using OpenVSP Aero-Propulsive-Elastic Modeling Using OpenVSP August 8, 213 Kevin W. Reynolds Intelligent Systems Division, Code TI NASA Ames Research Center Our Introduction To OpenVSP Overview! Motivation and Background!

More information

Towards a Theory of Societal Co-Evolution: Individualism versus Collectivism

Towards a Theory of Societal Co-Evolution: Individualism versus Collectivism Toards a Theory of Societal Co-Evolution: Individualism versus Collectivism Kartik Ahuja, Simpson Zhang and Mihaela van der Schaar Department of Electrical Engineering, Department of Economics, UCLA Theorem

More information

Neural Networks. Associative memory 12/30/2015. Associative memories. Associative memories

Neural Networks. Associative memory 12/30/2015. Associative memories. Associative memories //5 Neural Netors Associative memory Lecture Associative memories Associative memories The massively parallel models of associative or content associative memory have been developed. Some of these models

More information

CHAPTER 3 THE COMMON FACTOR MODEL IN THE POPULATION. From Exploratory Factor Analysis Ledyard R Tucker and Robert C. MacCallum

CHAPTER 3 THE COMMON FACTOR MODEL IN THE POPULATION. From Exploratory Factor Analysis Ledyard R Tucker and Robert C. MacCallum CHAPTER 3 THE COMMON FACTOR MODEL IN THE POPULATION From Exploratory Factor Analysis Ledyard R Tucker and Robert C. MacCallum 1997 19 CHAPTER 3 THE COMMON FACTOR MODEL IN THE POPULATION 3.0. Introduction

More information

Linear Discriminant Functions

Linear Discriminant Functions Linear Discriminant Functions Linear discriminant functions and decision surfaces Definition It is a function that is a linear combination of the components of g() = t + 0 () here is the eight vector and

More information

ELG4112. Electromechanical Systems and Mechatronics

ELG4112. Electromechanical Systems and Mechatronics ELG4112 Electromechanical Systems and Mechatronics 1 Introduction Based on Electromechanical Systems, Electric Machines, and Applied Mechatronics Electromechanical systems integrate the following: Electromechanical

More information

A SIMPLIFIED ANALYSIS OF NONLINEAR LONGITUDINAL DYNAMICS AND CONCEPTUAL CONTROL SYSTEM DESIGN

A SIMPLIFIED ANALYSIS OF NONLINEAR LONGITUDINAL DYNAMICS AND CONCEPTUAL CONTROL SYSTEM DESIGN A SIMPLIFIED ANALYSIS OF NONLINEAR LONGITUDINAL DYNAMICS AND CONCEPTUAL CONTROL SYSTEM DESIGN ROBBIE BUNGE 1. Introduction The longitudinal dynamics of fixed-wing aircraft are a case in which classical

More information

Classical Numerical Methods to Solve Optimal Control Problems

Classical Numerical Methods to Solve Optimal Control Problems Lecture 26 Classical Numerical Methods to Solve Optimal Control Problems Dr. Radhakant Padhi Asst. Professor Dept. of Aerospace Engineering Indian Institute of Science - Bangalore Necessary Conditions

More information

Gliding, Climbing, and Turning Flight Performance Robert Stengel, Aircraft Flight Dynamics, MAE 331, 2018

Gliding, Climbing, and Turning Flight Performance Robert Stengel, Aircraft Flight Dynamics, MAE 331, 2018 Gliding, Climbing, and Turning Flight Performance Robert Stengel, Aircraft Flight Dynamics, MAE 331, 2018 Learning Objectives Conditions for gliding flight Parameters for maximizing climb angle and rate

More information

Thermal modelling of the Wing Anti Ice System in modern aircrafts

Thermal modelling of the Wing Anti Ice System in modern aircrafts Advanced Computational Methods and Experiments in Heat Transfer XII 305 Thermal modelling of the Wing Anti Ice System in modern aircrafts D. Labuhn 1 & M. Logeais 2 1 Thermal Technology Centre, Airbus,

More information

Outline of lectures 3-6

Outline of lectures 3-6 GENOME 453 J. Felsenstein Evolutionary Genetics Autumn, 013 Population genetics Outline of lectures 3-6 1. We ant to kno hat theory says about the reproduction of genotypes in a population. This results

More information

COS 511: Theoretical Machine Learning. Lecturer: Rob Schapire Lecture # 12 Scribe: Indraneel Mukherjee March 12, 2008

COS 511: Theoretical Machine Learning. Lecturer: Rob Schapire Lecture # 12 Scribe: Indraneel Mukherjee March 12, 2008 COS 511: Theoretical Machine Learning Lecturer: Rob Schapire Lecture # 12 Scribe: Indraneel Mukherjee March 12, 2008 In the previous lecture, e ere introduced to the SVM algorithm and its basic motivation

More information

9.4 Miscellaneous topics flight limitations, operating envelop and V-n diagram Flight limitations Operating envelop 9.4.

9.4 Miscellaneous topics flight limitations, operating envelop and V-n diagram Flight limitations Operating envelop 9.4. Chapter 9 Lecture 31 Performance analysis V Manoeuvres 4 Topics 9.4 Miscellaneous topics flight limitations, operating envelop and V-n diagram 9.4.1 Flight limitations 9.4.2 Operating envelop 9.4.3 V-n

More information

Introduction to Aerospace Engineering

Introduction to Aerospace Engineering Introduction to Aerospace Engineering Lecture slides Challenge the future 1 Introduction Aerospace Engineering Flight Mechanics Dr. ir. Mark Voskuijl 15-12-2012 Delft University of Technology Challenge

More information

Aircraft stability and control Prof: A. K. Ghosh Dept of Aerospace Engineering Indian Institute of Technology Kanpur

Aircraft stability and control Prof: A. K. Ghosh Dept of Aerospace Engineering Indian Institute of Technology Kanpur Aircraft stability and control Prof: A. K. Ghosh Dept of Aerospace Engineering Indian Institute of Technology Kanpur Lecture- 05 Stability: Tail Contribution and Static Margin (Refer Slide Time: 00:15)

More information

Cruising Flight Envelope Robert Stengel, Aircraft Flight Dynamics, MAE 331, 2018

Cruising Flight Envelope Robert Stengel, Aircraft Flight Dynamics, MAE 331, 2018 Cruising Flight Envelope Robert Stengel, Aircraft Flight Dynamics, MAE 331, 018 Learning Objectives Definitions of airspeed Performance parameters Steady cruising flight conditions Breguet range equations

More information

Pareto-Improving Congestion Pricing on General Transportation Networks

Pareto-Improving Congestion Pricing on General Transportation Networks Transportation Seminar at University of South Florida, 02/06/2009 Pareto-Improving Congestion Pricing on General Transportation Netorks Yafeng Yin Transportation Research Center Department of Civil and

More information

Jet Aircraft Propulsion Prof. Bhaskar Roy Prof. A M Pradeep Department of Aerospace Engineering Indian Institute of Technology, Bombay

Jet Aircraft Propulsion Prof. Bhaskar Roy Prof. A M Pradeep Department of Aerospace Engineering Indian Institute of Technology, Bombay Jet Aircraft Propulsion Prof. Bhaskar Roy Prof. A M Pradeep Department of Aerospace Engineering Indian Institute of Technology, Bombay Lecture No. #03 Jet Engine Basic Performance Parameters We are talking

More information

Investigating the Performance of Adaptive Methods in application to Autopilot of General aviation Aircraft

Investigating the Performance of Adaptive Methods in application to Autopilot of General aviation Aircraft I J C T A, 8(5), 2015, pp 2423-2431 International Science Press Investigating the Performance of Adaptive Methods in application to Autopilot of General aviation Aircraft V Rajesari 1 and L Padma Suresh

More information

Group-invariant solutions of nonlinear elastodynamic problems of plates and shells *

Group-invariant solutions of nonlinear elastodynamic problems of plates and shells * Group-invariant solutions of nonlinear elastodynamic problems of plates and shells * V. A. Dzhupanov, V. M. Vassilev, P. A. Dzhondzhorov Institute of mechanics, Bulgarian Academy of Sciences, Acad. G.

More information

B1-1. Closed-loop control. Chapter 1. Fundamentals of closed-loop control technology. Festo Didactic Process Control System

B1-1. Closed-loop control. Chapter 1. Fundamentals of closed-loop control technology. Festo Didactic Process Control System B1-1 Chapter 1 Fundamentals of closed-loop control technology B1-2 This chapter outlines the differences between closed-loop and openloop control and gives an introduction to closed-loop control technology.

More information

Introduction To Resonant. Circuits. Resonance in series & parallel RLC circuits

Introduction To Resonant. Circuits. Resonance in series & parallel RLC circuits Introduction To esonant Circuits esonance in series & parallel C circuits Basic Electrical Engineering (EE-0) esonance In Electric Circuits Any passive electric circuit ill resonate if it has an inductor

More information

Localizer Hold Autopilot

Localizer Hold Autopilot Localizer Hold Autopilot Prepared by A.Kaviyarasu Assistant Professor Department of Aerospace Engineering Madras Institute Of Technology Chromepet, Chennai Localizer hold autopilot is one of the important

More information

Flight and Orbital Mechanics

Flight and Orbital Mechanics Flight and Orbital Mechanics Lecture slides Challenge the future 1 Flight and orbital mechanics Flight Mechanics practice questions Dr. ir. Mark Voskuijl 20-11-2013 Delft University of Technology Challenge

More information

Basic Information to Help Select the Correct Propeller

Basic Information to Help Select the Correct Propeller Propeller Performance Factors - Basic Information to Help Select the Correct Propeller The performance of a propeller in flight involves several complex subjects, and the high performance propellers we

More information

Definition of a new Parameter for use in Active Structural Acoustic Control

Definition of a new Parameter for use in Active Structural Acoustic Control Definition of a ne Parameter for use in Active Structural Acoustic Control Brigham Young University Abstract-- A ne parameter as recently developed by Jeffery M. Fisher (M.S.) for use in Active Structural

More information

PART ONE Parameters for Performance Calculations

PART ONE Parameters for Performance Calculations PART ONE Parameters for Performance Calculations As an amateur designer/builder of homebuilt aircraft, you are chief aerodynamicist, structural engineer, dynamicist, mechanic, artist and draftsman all

More information

AEROSPACE ENGINEERING

AEROSPACE ENGINEERING AEROSPACE ENGINEERING Subject Code: AE Course Structure Sections/Units Topics Section A Engineering Mathematics Topics (Core) 1 Linear Algebra 2 Calculus 3 Differential Equations 1 Fourier Series Topics

More information

A turbulence closure based on the maximum entropy method

A turbulence closure based on the maximum entropy method Advances in Fluid Mechanics IX 547 A turbulence closure based on the maximum entropy method R. W. Derksen Department of Mechanical and Manufacturing Engineering University of Manitoba Winnipeg Canada Abstract

More information

Effect of Insertion Devices. Effect of IDs on beam dynamics

Effect of Insertion Devices. Effect of IDs on beam dynamics Effect of Insertion Devices The IDs are normally made of dipole magnets ith alternating dipole fields so that the orbit outside the device is un-altered. A simple planer undulator ith vertical sinusoidal

More information

Longitudinal Flight Control Systems

Longitudinal Flight Control Systems Longitudinal Flight Control Systems 9 Basic Longitudinal Autopilots (I) Attitude Control System First idea: A Displacement Autopilot Typical block diagram: Vertical e g e δ Elevator δ A/C θ ref Amplifier

More information

Technology of Rocket

Technology of Rocket Technology of Rocket Parts of Rocket There are four major parts of rocket Structural system Propulsion system Guidance system Payload system Structural system The structural system of a rocket includes

More information

UC Berkeley Department of Electrical Engineering and Computer Sciences. EECS 126: Probability and Random Processes

UC Berkeley Department of Electrical Engineering and Computer Sciences. EECS 126: Probability and Random Processes UC Berkeley Department of Electrical Engineering and Computer Sciences EECS 26: Probability and Random Processes Problem Set Spring 209 Self-Graded Scores Due:.59 PM, Monday, February 4, 209 Submit your

More information

Econ 201: Problem Set 3 Answers

Econ 201: Problem Set 3 Answers Econ 20: Problem Set 3 Ansers Instructor: Alexandre Sollaci T.A.: Ryan Hughes Winter 208 Question a) The firm s fixed cost is F C = a and variable costs are T V Cq) = 2 bq2. b) As seen in class, the optimal

More information

MMSE Equalizer Design

MMSE Equalizer Design MMSE Equalizer Design Phil Schniter March 6, 2008 [k] a[m] P a [k] g[k] m[k] h[k] + ṽ[k] q[k] y [k] P y[m] For a trivial channel (i.e., h[k] = δ[k]), e kno that the use of square-root raisedcosine (SRRC)

More information

Load and Stress Spectrum Generation

Load and Stress Spectrum Generation Load and Stress Spectrum Generation During 1962, at the request of the FAA, and upon recommendation of the National Aeronautics and Space Administration (NASA) Committee on Aircraft Operating Problems,

More information

Stability and Control

Stability and Control Stability and Control Introduction An important concept that must be considered when designing an aircraft, missile, or other type of vehicle, is that of stability and control. The study of stability is

More information

Minimize Cost of Materials

Minimize Cost of Materials Question 1: Ho do you find the optimal dimensions of a product? The size and shape of a product influences its functionality as ell as the cost to construct the product. If the dimensions of a product

More information

A Method of Computing Eigenvectors and Eigenvalues

A Method of Computing Eigenvectors and Eigenvalues A Method of Computing Eigenvectors and Eigenvalues on an Analog Computer by LUCIEN NEUSTADT Visiting Professor, University of Michigan on leave from Aerospace Corporation All rights reserved Reprinted

More information

DEPARTMENT OF AEROSPACE ENGINEERING, IIT MADRAS M.Tech. Curriculum

DEPARTMENT OF AEROSPACE ENGINEERING, IIT MADRAS M.Tech. Curriculum DEPARTMENT OF AEROSPACE ENGINEERING, IIT MADRAS M.Tech. Curriculum SEMESTER I AS5010 Engg. Aerodyn. & Flt. Mech. 3 0 0 3 AS5020 Elements of Gas Dyn. & Propln. 3 0 0 3 AS5030 Aircraft and Aerospace Structures

More information

Missile Interceptor EXTROVERT ADVANCED CONCEPT EXPLORATION ADL P Ryan Donnan, Herman Ryals

Missile Interceptor EXTROVERT ADVANCED CONCEPT EXPLORATION ADL P Ryan Donnan, Herman Ryals EXTROVERT ADVANCED CONCEPT EXPLORATION ADL P- 2011121203 Ryan Donnan, Herman Ryals Georgia Institute of Technology School of Aerospace Engineering Missile Interceptor December 12, 2011 EXTROVERT ADVANCED

More information

Signal Handling & Processing

Signal Handling & Processing Signal Handling & Processing The output signal of the primary transducer may be too small to drive indicating, recording or control elements directly. Or it may be in a form which is not convenient for

More information

Calculus. Applications of Differentiations (IV)

Calculus. Applications of Differentiations (IV) Calculus Applications of Differentiations (IV) Outline 1 Rates of Change In Economics And The Sciences Applications of Derivative In Economics Applications of Derivative in the Sciences 2 Related Rate

More information

Welcome to Aerospace Engineering DESIGN-CENTERED INTRODUCTION TO AEROSPACE ENGINEERING

Welcome to Aerospace Engineering DESIGN-CENTERED INTRODUCTION TO AEROSPACE ENGINEERING Welcome to Aerospace Engineering DESIGN-CENTERED INTRODUCTION TO AEROSPACE ENGINEERING Topics 1. Course Organization 2. Today's Dreams in Various Speed Ranges 3. Designing a Flight Vehicle: Route Map of

More information

Theoretical Study of Contact Angles of a Linear Guideway

Theoretical Study of Contact Angles of a Linear Guideway Copyright 2011 Tech Science Press SL, vol.5, no.3, pp.139-145, 2011 Theoretical Study of Contact Angles of a Linear Guideay D. Sha 1 Abstract: The contact angle affects the life and accuracy of a linear

More information

20.2 Design Example: Countdown Timer

20.2 Design Example: Countdown Timer EECS 16A Designing Information Devices and Systems I Fall 018 Lecture Notes Note 0 0.1 Design Procedure Now that we ve analyzed many circuits, we are ready to focus on designing interesting circuits to

More information

An Investigation of the use of Spatial Derivatives in Active Structural Acoustic Control

An Investigation of the use of Spatial Derivatives in Active Structural Acoustic Control An Investigation of the use of Spatial Derivatives in Active Structural Acoustic Control Brigham Young University Abstract-- A ne parameter as recently developed by Jeffery M. Fisher (M.S.) for use in

More information

Artificial Neural Networks. Part 2

Artificial Neural Networks. Part 2 Artificial Neural Netorks Part Artificial Neuron Model Folloing simplified model of real neurons is also knon as a Threshold Logic Unit x McCullouch-Pitts neuron (943) x x n n Body of neuron f out Biological

More information

Preliminaries. Definition: The Euclidean dot product between two vectors is the expression. i=1

Preliminaries. Definition: The Euclidean dot product between two vectors is the expression. i=1 90 8 80 7 70 6 60 0 8/7/ Preliminaries Preliminaries Linear models and the perceptron algorithm Chapters, T x + b < 0 T x + b > 0 Definition: The Euclidean dot product beteen to vectors is the expression

More information

A ROBUST BEAMFORMER BASED ON WEIGHTED SPARSE CONSTRAINT

A ROBUST BEAMFORMER BASED ON WEIGHTED SPARSE CONSTRAINT Progress In Electromagnetics Research Letters, Vol. 16, 53 60, 2010 A ROBUST BEAMFORMER BASED ON WEIGHTED SPARSE CONSTRAINT Y. P. Liu and Q. Wan School of Electronic Engineering University of Electronic

More information

SUPPORTING INFORMATION. Line Roughness. in Lamellae-Forming Block Copolymer Films

SUPPORTING INFORMATION. Line Roughness. in Lamellae-Forming Block Copolymer Films SUPPORTING INFORMATION. Line Roughness in Lamellae-Forming Bloc Copolymer Films Ricardo Ruiz *, Lei Wan, Rene Lopez, Thomas R. Albrecht HGST, a Western Digital Company, San Jose, CA 9535, United States

More information

J. C. Sprott and A. C. England

J. C. Sprott and A. C. England Numerical Calculations of Steady State Microave Plasma Parameters by J C Sprott and A C England PLP 489 Plasma Studies University of isconsin These PLP Reports are informal and preliminary and as such

More information

An Investigation of the Attainable Efficiency of Flight at Mach One or Just Beyond

An Investigation of the Attainable Efficiency of Flight at Mach One or Just Beyond An Investigation of the Attainable Efficiency of Flight at Mach One or Just Beyond Antony Jameson Department of Aeronautics and Astronautics AIAA Aerospace Sciences Meeting, Reno, NV AIAA Paper 2007-0037

More information

Business Cycles: The Classical Approach

Business Cycles: The Classical Approach San Francisco State University ECON 302 Business Cycles: The Classical Approach Introduction Michael Bar Recall from the introduction that the output per capita in the U.S. is groing steady, but there

More information

Calculus concepts and applications

Calculus concepts and applications Calculus concepts and applications This worksheet and all related files are licensed under the Creative Commons Attribution License, version 1.0. To view a copy of this license, visit http://creativecommons.org/licenses/by/1.0/,

More information

DETERMINATION OF THE GRAVITATIONAL CONSTANT G USING A FABRY-P EROT PENDULUM RESONATOR

DETERMINATION OF THE GRAVITATIONAL CONSTANT G USING A FABRY-P EROT PENDULUM RESONATOR DETERMINATION OF THE GRAVITATIONAL CONSTANT G USING A FABRY-P EROT PENDULUM RESONATOR A. SCHU:ACHER, H. SCHUTT, H. WALESCH, H. :EYER Bergische Universitiit Gesamthochschu/e Wupperta/, Fachbereich Physik

More information

Active Guidance for a Finless Rocket using Neuroevolution

Active Guidance for a Finless Rocket using Neuroevolution Active Guidance for a Finless Rocket using Neuroevolution Gomez, F.J. & Miikulainen, R. (2003). Genetic and Evolutionary Computation Gecco, 2724, 2084 2095. Introduction Sounding rockets are used for making

More information

Giovanni Tarantino, Dipartimento di Fisica e Tecnologie Relative, Università di Palermo (Italia)

Giovanni Tarantino, Dipartimento di Fisica e Tecnologie Relative, Università di Palermo (Italia) THE INTERACTIVE PHYSICS FLIGHT SIMULATOR Giovanni Tarantino, Dipartimento di Fisica e Tecnologie Relative, Università di Palermo (Italia) Abstract This paper describes a modelling approach to the dynamics

More information

An Improved Driving Scheme in an Electrophoretic Display

An Improved Driving Scheme in an Electrophoretic Display International Journal of Engineering and Technology Volume 3 No. 4, April, 2013 An Improved Driving Scheme in an Electrophoretic Display Pengfei Bai 1, Zichuan Yi 1, Guofu Zhou 1,2 1 Electronic Paper Displays

More information

Theoretical Design and Analysis of Gravity Assisted Heat Pipes

Theoretical Design and Analysis of Gravity Assisted Heat Pipes Theoretical Design and Analysis of Gravity Assisted Heat Pipes Archit M. Deshpande Heramb S. Nemlekar Rohan D. Patil Abstract Gravity assisted heat pipes are heat transfer devices that are extensively

More information

ECE380 Digital Logic. Synchronous sequential circuits

ECE380 Digital Logic. Synchronous sequential circuits ECE38 Digital Logic Synchronous Sequential Circuits: State Diagrams, State Tables Dr. D. J. Jackson Lecture 27- Synchronous sequential circuits Circuits here a clock signal is used to control operation

More information

PET467E-Analysis of Well Pressure Tests 2008 Spring/İTÜ HW No. 5 Solutions

PET467E-Analysis of Well Pressure Tests 2008 Spring/İTÜ HW No. 5 Solutions . Onur 13.03.2008 PET467E-Analysis of Well Pressure Tests 2008 Spring/İTÜ HW No. 5 Solutions Due date: 21.03.2008 Subject: Analysis of an dradon test ith ellbore storage and skin effects by using typecurve

More information

Chapter 5 - Differentiating Functions

Chapter 5 - Differentiating Functions Chapter 5 - Differentiating Functions Section 5.1 - Differentiating Functions Differentiation is the process of finding the rate of change of a function. We have proven that if f is a variable dependent

More information

18. Linearization: the phugoid equation as example

18. Linearization: the phugoid equation as example 79 18. Linearization: the phugoid equation as example Linearization is one of the most important and widely used mathematical terms in applications to Science and Engineering. In the context of Differential

More information

Biasing BJTs CHAPTER OBJECTIVES 4.1 INTRODUCTION

Biasing BJTs CHAPTER OBJECTIVES 4.1 INTRODUCTION 4 DC Biasing BJTs CHAPTER OBJECTIVES Be able to determine the dc levels for the variety of important BJT configurations. Understand how to measure the important voltage levels of a BJT transistor configuration

More information

Chapter 8 Performance analysis IV Accelerated level flight and climb (Lecture 27) Keywords: Topics 8.1 Introduction 8.2 Accelerated level flight

Chapter 8 Performance analysis IV Accelerated level flight and climb (Lecture 27) Keywords: Topics 8.1 Introduction 8.2 Accelerated level flight Chapter 8 Performance analysis I Accelerated level flight and climb (Lecture 7) Keywords: Accelerated level flight; accelerated climb; energy height. Topics 8.1 Introduction 8. Accelerated level flight

More information

4/3/2019. Advanced Measurement Systems and Sensors. Dr. Ibrahim Al-Naimi. Chapter one. Introduction to Measurement Systems

4/3/2019. Advanced Measurement Systems and Sensors. Dr. Ibrahim Al-Naimi. Chapter one. Introduction to Measurement Systems Advanced Measurement Systems and Sensors Dr. Ibrahim Al-Naimi Chapter one Introduction to Measurement Systems 1 Outlines Control and measurement systems Transducer/sensor definition and classifications

More information