Ground-Based Time-Guidance Algorithm for Control of A$Planes In

Total Page:16

File Type:pdf, Size:1020Kb

Ground-Based Time-Guidance Algorithm for Control of A$Planes In ~~ I - . , -- ,Paper - 261 6 - \ November 1986 Ground-Based Time-Guidance , Algorithm for Control of A$planes in a Time-Metered Air Traffic Control Environment A Piloted Simulation Study Charles E. Knox and Nicole Imbert o) GbCUbC-EASEL !lI??i-GUidANCE bid7- l0%4 CCKTfiCL AlrEIAhZS A I- B CF IN AI5 ThAFEIC CCNTFCL .. A EILOTZCC SIMULAIlCh STUdY UUcl d s P CSCL 019 31/06 431177 G NASA NASA Technica I Paper 261 6 1986 Gro znd-BasLd Time-G Algorithm for Control of Airplanes in a Time-Metered Air Traffic Control Environment A Piloted Simulation Study Charles E. Knox Langley Research Center Hampt o n, Virginia Nicole Imbert ONERAICERT Toulouse, France NASA National Aeronautics and Space Administration Scientific and Technical Information Branch Summary necessary to develop more efficient ways to operate individual airplanes and to control air traffic for ar- A piloted simulation experiment was used to rival and departures to the terminal area. Airborne study and evaluate a time-guidance algorithm con- flight management systems have been designed and cept designed to provide guidance for an airplane to implemented that can result in an individual airplane cross a metering fix at a designated time. The guid- fuel savings of 2 to 6 percent (ref. 1). Advanced air ance provided to the pilot during these tests con- traffic control (ATC) procedures and systems are be- sisted of two airspeed commands and one heading ing designed to reduce traffic delays in the terminal command that were based upon time errors at three area by metering and sequencing arrival and depar- intermediate fixes on a nominal flight path to the air- ture airplanes. Two of these air traffic control sys- port. Eight different test conditions were evaluated tems (one is being designed for Eurocontrol (ref. 2) to determine initial time-error effects, airspeed-limit and one is on an operational basis in the United effects, and the wind-modeling unknown effect upon States (ref. 3)) utilize time control to meter arriv- the capability of the time-guidance algorithm to null ing traffic. In the time-based ATC systems, a time the time error at the final metering fix. These cases is assigned for each airplane inbound to the terminal were compared to a set of baseline tests in which no area to cross a metering fix. This time is computed errors were artificially induced. such that when airplanes cross the metering fix at The Federal Aviation Administration’s 250-knot their assigned times, they may continue along a nom- airspeed limit for flight at an altitude less than inal path to the runway without conflicts from other 10000 ft mean sea level can reduce the time control- arrival traffic. lability of the algorithm when higher airspeeds are In the United States airports at Dallas-Ft. Worth, required to null the time error. The severity of the Texas, and Denver, Colorado, time-based-metering reduction of time controllability of the algorithm is operational procedures require the ATC controller to variable and is a function of the path design. provide radar vectors and airspeed commands so that The effects of mismodeled winds were examined each airplane will cross the metering fix (typically by adding a 10-knot bias to the wind for all altitudes located 35 to 50 flying miles from the runway) at during two test scenarios, one with a prevailing head the assigned time. These vectors and commands are wind and the other with a tail wind. The test results determined by the controller and, depending upon his with these scenarios showed that most of the time skill, result in metering-fix crossing-time accuracies error at the metering fix was accrued on the last path of between 1 and 2 min (ref. 4). segment after the final heading command was issued. If this time error can be reduced at the meter- The magnitude of the error accumulated on the last ing fix or nulled along a nominal path prior to the path segment would be dependent upon the length point at which all airplanes are merged, the extra of this segment, the magnitude of the wind modeling flight time required for final sequencing and spacing error, and the time exposed to the wind modeling for landing can be reduced. This reduction of extra error. flight time can potentially save a significant quan- An initial time error of f60 sec was induced in tity of fuel. Flight tests have shown that airborne three more test scenarios. Final mean time errors electronically computed guidance may be used to fly of 8.4 sec or less resulted when both airspeed and fuel-conservative trajectories while maintaining a de- heading command corrections were computed by the sired time schedule (refs. 5 and 6). However, airborne time-guidance algorithm. However, in the scenario electronically computed time guidance is not read- in which the 250-knot airspeed limit precluded an ily available on the current generation of commercial increase in airspeed to null the time error, the initial transport airplanes. 60-sec time error was reduced to 21.3 sec through use As an alternative to airborne computations, time of only the heading command correction. guidance could be computed on the ground and pro- The subject pilots reported that the airspeed and vided to each arriving airplane. The ONERA/CERT heading commands generated by the time-guidance a time-guidance algorithm were easy to follow and did not increase of Toulouse, France, has developed algorithm concept in which heading and speed com- their work load above normal levels. Airspeed and mand corrections are computed for a pilot to follow heading errors recorded during each of the test runs in order to cross a metering fix at a designated time. were within normal operating tolerances. Once a time has been assigned for an airplane to cross a metering fix, command corrections may be Introduction radioed to the pilot as he approaches the metering The rapidly increasing cost of flight operations fix. The command corrections are computed based and the necessity for fuel conservation have made it on the difference between desired and actual times in crossing intermediate time checkpoints that lie on time required to fly between a nominal path to the metering fix. A fast- time checkpoints and t.ime compuber simulat>ionstudy (ref. 7) using the metering fix, sec ONERA/CERT guidance with three ATC correc- time to fly between time tions (two airspeed and one heading) to a metering checkpoint 2 and metering fix located about 10 n.mi. from the runway resulted fix at an off-nominal cali- in a mean crossing-time error of 8.5 sec (late) with a brated airspeed, sec standard deviation of 9 sec. Software of the ONERA/CERT time-guidance al- nominal time to fly between gorithm was then integrated into a real-time piloted time checkpoint 1 and simulation by NASA to study and evaluate the op- metering fix at 250 knots, erational concepts and to determine the effects that SeC various operational constraints had on time control- time to fly between time lability of the algorithm. In this study, the guidance checkpoint 2 and metering algorithm was applied to a path that began fly- 53.5 fix at a nominal calibrated ing miles from the runway. A final metering fix was airspeed, sec established at the outer marker of an Instrument Landing System (ILS) approach 5.7 n.mi. from the difference in time to fly the runway threshold. As the pilot flew along a nominal path at nominal and off- path toward the airport, he was given heading and nominal calibrated airspeeds calibrated-airspeed command corrections required to and/or headings, sec satisfy a time objective for crossing the metering fix. difference in time to fly This report will summarize the computations of the between time checkpoint 2 time-metering guidance algorithm, describe the pi- and metering fix at nominal loted simulation tests and facilities, and present the and off-nominal calibrated results of this study. A summation of the test condi- airspeeds, sec tions and results is presented in tables I and 11. calibrated airspeed, knots Symbols and Abbreviations commanded airspeed, knots air traffic control nominal calibrated airspeed along path segment 1, knots coefficients for quadratic equation to evaluate air- nominal calibrated airspeed speed changes at time along path segment 2, knots checkpoint 1 airspeed commands for pilot to follow based on time 1,k b2, k b3,k coefficients for quadratic equation to evaluate air- error at time checkpoints 1 speed changes at time and 2, respectively checkpoint 2 AV change in airspeed com- CRT cathode ray tube puted at first and second time checkpoints, knots coefficients for quadratic cl,k 1 c2,k c3,k AVi difference in nominal and equation to evaluate head- off-nominal calibrated air- ing changes at time check- speeds along path seg- point 3 ment 1, knots Instrument Landing System difference in nominal and mean sea level off-nominal calibrated air- speeds along path seg- standard deviation ment 2, knots time error at time check- WAL identification letters for the points 1, 2, and 3, respec- VORTAC navigation facility tively, sec located on the airport 2 I 9 heading command for pilot of using the algorithm to control airplanes or affect to follow based on time the final time error at the metering fix. error at time checkpoint 3 The second function of the time-guidance algo- rithm is to compute the coefficients of a quadratic off-nominal heading along curve fit of the time-difference data stored in the data path segment 3, deg tables.
Recommended publications
  • Soaring Weather
    Chapter 16 SOARING WEATHER While horse racing may be the "Sport of Kings," of the craft depends on the weather and the skill soaring may be considered the "King of Sports." of the pilot. Forward thrust comes from gliding Soaring bears the relationship to flying that sailing downward relative to the air the same as thrust bears to power boating. Soaring has made notable is developed in a power-off glide by a conven­ contributions to meteorology. For example, soar­ tional aircraft. Therefore, to gain or maintain ing pilots have probed thunderstorms and moun­ altitude, the soaring pilot must rely on upward tain waves with findings that have made flying motion of the air. safer for all pilots. However, soaring is primarily To a sailplane pilot, "lift" means the rate of recreational. climb he can achieve in an up-current, while "sink" A sailplane must have auxiliary power to be­ denotes his rate of descent in a downdraft or in come airborne such as a winch, a ground tow, or neutral air. "Zero sink" means that upward cur­ a tow by a powered aircraft. Once the sailcraft is rents are just strong enough to enable him to hold airborne and the tow cable released, performance altitude but not to climb. Sailplanes are highly 171 r efficient machines; a sink rate of a mere 2 feet per second. There is no point in trying to soar until second provides an airspeed of about 40 knots, and weather conditions favor vertical speeds greater a sink rate of 6 feet per second gives an airspeed than the minimum sink rate of the aircraft.
    [Show full text]
  • 16.00 Introduction to Aerospace and Design Problem Set #3 AIRCRAFT
    16.00 Introduction to Aerospace and Design Problem Set #3 AIRCRAFT PERFORMANCE FLIGHT SIMULATION LAB Note: You may work with one partner while actually flying the flight simulator and collecting data. Your write-up must be done individually. You can do this problem set at home or using one of the simulator computers. There are only a few simulator computers in the lab area, so not leave this problem to the last minute. To save time, please read through this handout completely before coming to the lab to fly the simulator. Objectives At the end of this problem set, you should be able to: • Take off and fly basic maneuvers using the flight simulator, and describe the relationships between the control yoke and the control surface movements on the aircraft. • Describe pitch - airspeed - vertical speed relationships in gliding performance. • Explain the difference between indicated and true airspeed. • Record and plot airspeed and vertical speed data from steady-state flight conditions. • Derive lift and drag coefficients based on empirical aircraft performance data. Discussion In this lab exercise, you will use Microsoft Flight Simulator 2000/2002 to become more familiar with aircraft control and performance. Also, you will use the flight simulator to collect aircraft performance data just as it is done for a real aircraft. From your data you will be able to deduce performance parameters such as the parasite drag coefficient and L/D ratio. Aircraft performance depends on the interplay of several variables: airspeed, power setting from the engine, pitch angle, vertical speed, angle of attack, and flight path angle.
    [Show full text]
  • The Discovery of the Sea
    The Discovery of the Sea "This On© YSYY-60U-YR3N The Discovery ofthe Sea J. H. PARRY UNIVERSITY OF CALIFORNIA PRESS Berkeley • Los Angeles • London Copyrighted material University of California Press Berkeley and Los Angeles University of California Press, Ltd. London, England Copyright 1974, 1981 by J. H. Parry All rights reserved First California Edition 1981 Published by arrangement with The Dial Press ISBN 0-520-04236-0 cloth 0-520-04237-9 paper Library of Congress Catalog Card Number 81-51174 Printed in the United States of America 123456789 Copytightad material ^gSS3S38SSSSSSSSSS8SSgS8SSSSSS8SSSSSS©SSSSSSSSSSSSS8SSg CONTENTS PREFACE ix INTROn ilCTION : ONE S F A xi PART J: PRE PARATION I A RELIABLE SHIP 3 U FIND TNG THE WAY AT SEA 24 III THE OCEANS OF THE WORI.n TN ROOKS 42 ]Jl THE TIES OF TRADE 63 V THE STREET CORNER OF EUROPE 80 VI WEST AFRICA AND THE ISI ANDS 95 VII THE WAY TO INDIA 1 17 PART JJ: ACHJF.VKMKNT VIII TECHNICAL PROBL EMS AND SOMITTONS 1 39 IX THE INDIAN OCEAN C R O S S T N C. 164 X THE ATLANTIC C R O S S T N C 1 84 XJ A NEW WORT D? 20C) XII THE PACIFIC CROSSING AND THE WORI.n ENCOMPASSED 234 EPILOC.IJE 261 BIBLIOGRAPHIC AI. NOTE 26.^ INDEX 269 LIST OF ILLUSTRATIONS 1 An Arab bagMa from Oman, from a model in the Science Museum. 9 s World map, engraved, from Ptolemy, Geographic, Rome, 1478. 61 3 World map, woodcut, by Henricus Martellus, c. 1490, from Imularium^ in the British Museum.
    [Show full text]
  • Tail Strikes: Prevention Regardless of Airplane Model, Tail Strikes Can Have a Number of Causes, Including Gusty Winds and Strong Crosswinds
    Tail Strikes: Prevention Regardless of airplane model, tail strikes can have a number of causes, including gusty winds and strong crosswinds. But environmental factors such as these can often be overcome by a well-trained and knowledgeable flight crew following prescribed procedures. Boeing conducts extensive research into the causes of tail strikes and continually looks for design solutions to prevent them, such as an improved elevator feel system. Enhanced preventive measures, such as the tail strike protection feature in some by Capt. Dave Carbaugh, Chief Pilot, Boeing 777 models, further reduce the probability of incidents. Flight Operations Safety Tail strikes can cause significant damage and cost taiL strikes: an overview a constant feel elevator pressure, which has operators millions of dollars in repairs and lost reduced the potential of varied feel pressure revenue. In the most extreme scenario, a tail strike A tail strike occurs when the tail of an airplane on the yoke contributing to a tail strike. The can cause pressure bulkhead failure, which can strikes the ground during takeoff or landing. 747-400 has a lower rate of tail strikes than ultimately lead to structural failure; however, long Although many tail strikes occur on takeoff, most the 747-100/-200/-300. shallow scratches that are not repaired correctly occur on landing. Tail strikes are often due to In addition, some 777 models incorporate a tail can also result in increased risks. Yet tail strikes can human error. strike protection system that uses a combination be prevented when flight crews understand their Tail strikes can cause significant damage to of software and hardware to protect the airplane.
    [Show full text]
  • The Future of the Knot As a Unit of Speed
    FORUM The Future of the Knot as a Unit of Speed Oliver Stewart FEW will deny the merits of the knot as a unit of speed. It does in one syllable what all other units of speed take three or more to do. It is accepted and used by a great many countries, including those like France which show a general pre- ference for the metric system. Aviation has taken to it as well as shipping. It is not therefore surprising that the full acceptance of the Systeme International d'Unitis (or S.I.) is meeting with some opposition when it offers to supplant the knot. At present the situation is that the knot is to continue for a 'limited time' as a speed unit for use in aviation and shipping. Just how limited the time will be has not been revealed, but the member countries of the European Economic Com- munity have set i January 1978 as the date after which 'only a prescribed system of metric units may be used'. Strictly interpreted the S.I. admits one and only one speed unit, the metre per second; if the minute or the hour were to be intro- duced in place of the second, decimalization would break down. This would mean that the familiar kilometre per hour would be inadmissible as a substitute for the knot, although the present trend is in that direction. Both the metre and the second are now denned in terms of atomic radiation with a precision far ahead of anything previously known and give the measurer the highest attainable accuracy.
    [Show full text]
  • Mind Your Aviation Language – What Knot Mark Twain!
    Mind Your (Aviation) Language…. What Knot? Mark Twain! As aviators we are all familiar with keeping an eye on our airspeed – and that we measure airspeed in knots. Many will also know that a knot is 1 nautical mile per hour. And some will know that a nautical mile is one minute (one sixtieth) of a degree of latitude, or even 1,852 metres. But why do we use the word ‘knot’ and does it have any connection to knots in ropes? Until the mid-19th century, vessel speed at sea was measured using a chip log. This consisted of a wooden panel, attached by line to a reel, and weighted on one edge to float perpendicularly to the water surface and thus present substantial resistance to the water moving around it. The chip log was cast over the stern of the moving vessel and the line allowed to pay out. Knots placed at a distance of 47 feet 3 inches (14.4018 m) from each other, passed through a sailor's fingers, while another sailor used a 30-second sand- glass (28-second sand-glass is the currently accepted timing) to time the operation. The knot count would be reported and used in the sailing master's dead reckoning and navigation. This method gives a value for the knot of 20.25 in/s, or 1.85166 km/h. The difference from the modern definition is less than 0.02%. And in both today’s pilothouse and cockpit, the speed equal to one nautical mile an hour is still called a knot, and pilots still record details of the journey in the ship’s log - terms that echo of the days when crewmembers got creative with a few simple materials and produced an essential and significant little gadget.
    [Show full text]
  • A Critical Review of the Hypothesis of a Medieval Origin for Portolan Charts
    A critical review of the hypothesis of a medieval origin for portolan charts i Roelof Nicolai A critical review of the hypothesis of a medieval origin for portolan charts Keywords: portolan, chart, medieval, geodesy, cartography, cartometric analysis, history, science ISBN/EAN: 978-90-76851-33-4 NUR-code: 930 Uitgeverij Educatieve Media, Houten. E-mail: [email protected] Vormgeving en drukwerkrealisatie: Atalanta, Houten Cover design: Sander Nicolai The cover shows part of the Carte Pisane, Bibliothèque nationale de France, Cartes et Plans, Ge B 1118. Copyright © by Roelof Nicolai All rights reserved. No part of the material protected by this copyright notice may be repro- duced or utilised in any form or by any means, electronic or mechanical, including photocopy- ing, recording or by information storage and retrieval system, without the prior permission of the author. ii A critical review of the hypothesis of a medieval origin for portolan charts Een kritische beschouwing van de hypothese van een middeleeuwse oorsprong voor portolaankaarten (met een samenvatting in het Nederlands) Proefschrift ter verkrijging van de graad van doctor aan de Universiteit Utrecht op gezag van de rector magnificus, prof.dr. G.J. van der Zwaan, ingevolge het besluit van het college voor promoties in het openbaar te verdedigen op maandag 3 maart 2014 des middags te 2.30 uur door Roelof Nicolai geboren op 20 november 1953 te Achtkarspelen iii Promotor: Prof. dr. J. P. Hogendijk Co-promotoren: Dr. S. A. Wepster Dr. P. C. J. van der Krogt iv He had bought a large map representing the sea, Without the least vestige of land: And the crew were much pleased when they found it to be A map they could all understand.
    [Show full text]
  • The Mathematics of Aircraft Navigation Thales Aeronautical Engineering    = + Vg Va Vw
    The Mathematics of Aircraft Navigation Thales Aeronautical Engineering = + Vg Va Vw . SCENARIO Knowledge of aircraft navigation is vital for safety. One important application is the search and rescue operation. Imagine that some people are stuck on a mountain in bad weather. Fortunately, with a mobile phone, they managed to contact the nearest Mountain Rescue base for help. The ©www.braemarmountainrescue.org.uk Mountain Rescue team needs to send a Aircraft Navigation is the art and science of helicopter to save these people. With the signal getting from a departure point to a destination in received from the people on the mountain, they the least possible time without losing your way. If determine that the bearing from the helipad (point you are a pilot of a rescue helicopter, you need to A) to the mountain (point C) is 054° (i.e. approx. know the following: north-east). Also the approximate distance is . Start point (point of departure) calculated to be 50 km. End point (final destination) . Direction of travel . Distance to travel . Characteristics of type of aircraft being flown . Aircraft cruising speed . Aircraft fuel capacity . Aircraft weight and balance information Figure-1 . Capability of on-board navigation equipment Assume that the rescue helicopter can travel at a Some of this information can be obtained from the speed of 100 knots and a 20-knot wind is blowing aircraft operation handbook. Also, if taken into on a bearing of 180°. The knot is the standard unit consideration at the start of the aircraft design for measuring the speed of an aircraft and it is they help an aeronautical engineer to develop a equal to one nautical mile per hour.
    [Show full text]
  • The International System of Units (SI) - Conversion Factors For
    NIST Special Publication 1038 The International System of Units (SI) – Conversion Factors for General Use Kenneth Butcher Linda Crown Elizabeth J. Gentry Weights and Measures Division Technology Services NIST Special Publication 1038 The International System of Units (SI) - Conversion Factors for General Use Editors: Kenneth S. Butcher Linda D. Crown Elizabeth J. Gentry Weights and Measures Division Carol Hockert, Chief Weights and Measures Division Technology Services National Institute of Standards and Technology May 2006 U.S. Department of Commerce Carlo M. Gutierrez, Secretary Technology Administration Robert Cresanti, Under Secretary of Commerce for Technology National Institute of Standards and Technology William Jeffrey, Director Certain commercial entities, equipment, or materials may be identified in this document in order to describe an experimental procedure or concept adequately. Such identification is not intended to imply recommendation or endorsement by the National Institute of Standards and Technology, nor is it intended to imply that the entities, materials, or equipment are necessarily the best available for the purpose. National Institute of Standards and Technology Special Publications 1038 Natl. Inst. Stand. Technol. Spec. Pub. 1038, 24 pages (May 2006) Available through NIST Weights and Measures Division STOP 2600 Gaithersburg, MD 20899-2600 Phone: (301) 975-4004 — Fax: (301) 926-0647 Internet: www.nist.gov/owm or www.nist.gov/metric TABLE OF CONTENTS FOREWORD.................................................................................................................................................................v
    [Show full text]
  • Problem of the Week Archive Columbus
    Problem of the Week Archive Columbus Day – October 8, 2018 Problems & Solutions Christopher Columbus landed in the Americas accidentally. He was actually trying to find a faster trade route to Asia from Spain. Instead of sailing around the tip of Africa, Columbus believed he could sail west across the Atlantic Ocean to reach Asia. In planning his expedition, Columbus calculated the journey would be around 2300 miles, based on his estimation of the earth’s size. Nautical experts of the time disagreed with his calculations, estimating the distance would be closer to 12,200 miles. The distance Columbus calculated is what percent of the distance estimated by nautical experts of the time? Express your answer to the nearest tenth. To find what percent the distance Columbus calculated is of the distance estimated by the nautical experts, we divide Columbus’s distance by the experts’ distance, then multiply by 100. The percentage is 2300 ÷ 12,200 × 100 ≈ 18.9%. By estimating the distance, sailors could determine how long a voyage would take, and, therefore, ensure that enough food and supplies were packed to last the entire trip. The ships of Christopher Columbus’s day averaged approximately 4 knots. A knot, or nautical mile per hour, is a measure of speed at sea. A nautical mile is approximately 1.151 miles. Based on this and information from the previous problem, how many more days would Columbus be at sea traveling the distance estimated by nautical experts than traveling the distance he calculated? Express your answer to the nearest whole number. Based on the previous problem, the difference between the distance estimated by the experts and the distance calculated by Columbus is 12,200 – 2300 = 9900 mi.
    [Show full text]
  • The Final Approach Speed
    Flight Safety Foundation Approach-and-landing Accident Reduction Tool Kit FSF ALAR Briefing Note 8.2 — The Final Approach Speed Assuring a safe landing requires achieving a balanced • Wind; distribution of safety margins between: • Flap configuration (when several flap configurations are • The computed final approach speed (also called the certified for landing); target threshold speed); and, • Aircraft systems status (airspeed corrections for • The resulting landing distance. abnormal configurations); • Icing conditions; and, Statistical Data • Use of autothrottle speed mode or autoland. Computation of the final approach speed rarely is a factor The final approach speed is based on the reference landing in runway overrun events, but an approach conducted speed, VREF. significantly faster than the computed target final approach speed is cited often as a causal factor. VREF usually is defined by the aircraft operating manual (AOM) and/or the quick reference handbook (QRH) as: The Flight Safety Foundation Approach-and-landing Accident Reduction (ALAR) Task Force found that “high-energy” 1.3 x stall speed with full landing flaps approaches were a causal factor1 in 30 percent of 76 approach- or with selected landing flaps. and-landing accidents and serious incidents worldwide in 1984 through 1997.2 Final approach speed is defined as: Defining the Final Approach Speed VREF + corrections. The final approach speed is the airspeed to be maintained down Airspeed corrections are based on operational factors (e.g., to 50 feet over the runway threshold. wind, wind shear or icing) and on landing configuration (e.g., less than full flaps or abnormal configuration). The final approach speed computation is the result of a decision made by the flight crew to ensure the safest approach and The resulting final approach speed provides the best landing for the following: compromise between handling qualities (stall margin or • Gross weight; controllability/maneuverability) and landing distance.
    [Show full text]
  • Evaluation of Aircraft Performance Algorithms in Federal Aviation Administration's Integrated Noise Model by Wei-Nian Su
    Evaluation of Aircraft Performance Algorithms in Federal Aviation Administration's Integrated Noise Model by Wei-Nian Su B.S. Aerospace Engineering, Iowa State University, 1996 Submitted to the Department of Aeronautics and Astronautics in partial fulfillment of the requirement for the Degree of Master of Science in Aeronautics and Astronautics at the Massachusetts Institute of Technology February, 1999 ©1999 Massachusetts Institute of Technology. All rights reserved. Author........... .................... ,. ....... .. ... ............................................................................ Department of Aeronautics and Astronautics January 14, 1999 Certifie d b y .............................. ............... .............. ..................... V. ... ... ..o..... ... ..C r Certe b( (Professor John-Paul Clarke Department of Aeronautics and Astronautics Thesis Supervisor Accepted by .................................................................... ..... ........ ........ .. .... ...... Professor Jaime Peraire Chairman, epartment Graduate Committee MASSACHUSETTS INSTITUTE OF TECHNOLOGY MAY 1 7 1999 -oWWW LIBRARIES Evaluation of Aircraft Performance Algorithms in Federal Aviation Administration's Integrated Noise Model by Wei-Nian Su Submitted to the Department of Aeronautics and Astronautics Engineering on January 14, 1999 in partial fulfillment of the requirement for the Degree of Master of Science in Aeronautics and Astronautics Engineering Abstract The Integrated Noise Model (INM) has been the Federal Aviation Administration's
    [Show full text]