Flight vehicle system identification: a time domain methodology
Saved in:
| Main Author: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Reston, VA
AIAA
2006
|
| Series: | Progress in astronautics and aeronautics
216 |
| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Physical Description: | XVIII, 534 S. Ill., graph. Darst. |
| ISBN: | 1563478366 9781563478369 |
Staff View
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Record in the Search Index
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| adam_text | FLIGHT VEHICLE SYSTEM IDENTIFICATION: A TIME DOMAIN METHODOLOGY BY
RAVINDRA V. JATEGAONKAR SENIOR SCIENTIST INSTITUTE OF FLIGHT SYSTEMS DLR
GERMAN AEROSPACE CENTER BRAUNSCHWEIG, GERMANY VOLUME 216 PROGRESS IN
ASTRONAUTICS AND AERONAUTICS FRANK K. LU, EDITOR-IN-CHIEF UNIVERSITY OF
TEXAS AT ARLINGTON ARLINGTON, TEXAS PUBLISHED BY AMERICAN INSTITUTE OF
AERONAUTICS AND ASTRONAUTICS, INC. 1801 ALEXANDER BELL DRIVE, RESTON, VA
20191 TABLE OF CONTENTS FOREWORD VII PREFACE XVII CHAPTER 1.
INTRODUCTION 1 WHAT IS SYSTEM IDENTIFICATION? 2 MODEL CHARACTERIZATION 5
INTERDISCIPLINARY FLIGHT VEHICLE MODELING 6 WHY SYSTEM IDENTIFICATION? 8
PARAMETER ESTIMATION IN FLIGHT MECHANICS 9 ESTIMATION TECHNIQUES OF THE
PAST 11 MODERN METHODS OF AIRCRAFT PARAMETER ESTIMATION 12 GENERAL
ASPECTS 14 CHAPTER 2. DATA GATHERING 25 INTRODUCTION 25 FLIGHT TESTING
AND MANEUVERS 26 OPTIMAL INPUT DESIGN 33 SCOPE OF FLIGHT TESTING 46
FLIGHT TEST INSTRUMENTATION AND MEASUREMENTS 49 CONCLUDING REMARKS 54
CHAPTER 3. MODEL POSTULATES AND SIMULATION 59 INTRODUCTION 59 MODEL
DESCRIPTION 60 EXTENSIONS OF THE MATHEMATICAL MODELS 61 RETARDED SYSTEMS
63 LINEARIZED MODELS 67 PSEUDO-CONTROL INPUTS 69 TREATMENT OF INITIAL
CONDITIONS 71 SIMULATION 71 CONCLUDING REMARKS 76 CHAPTER 4. OUTPUT
ERROR METHOD 79 INTRODUCTION 79 THE PRINCIPLE OF MAXIMUM LIKELIHOOD
ESTIMATION 80 PROPERTIES OF MAXIMUM LIKELIHOOD ESTIMATES 83 XI XII TABLE
OF CONTENTS THE MAXIMUM LIKELIHOOD FUNCTION FOR ESTIMATION OF PARAMETERS
IN DYNAMIC SYSTEMS 84 BASICS OF COST FUNCTION OPTIMIZATION 86
GAUSS-NEWTON ALGORITHM 88 METHOD OF QUASI-LINEARIZATION 90 SYSTEM
RESPONSE AND SENSITIVITY COEFFICIENTS 91 AUTOMATIC GRADIENT COMPUTATION
94 STEP SIZE CONTROL 95 BOUNDED-VARIABLE GAUSS-NEWTON METHOD 98
CONSTRAINED GAUSS-NEWTON METHOD USING THE INTERIOR-POINT ALGORITHM 100
LEVENBERG-MARQUARDT METHOD 103 DIRECT SEARCH METHODS 105 REGRESSION
STARTUP PROCEDURE 107 ESTIMATION ACCOUNTING FOR A PRIORI INFORMATION 109
STATISTICAL ACCURACY OF PARAMETER ESTIMATES 1 LL ALGORITHMIC
IMPLEMENTATIONS 112 OEM SOFTWARE 115 EXAMPLES 119 CONCLUDING REMARKS 124
CHAPTER 5. FILTER ERROR METHOD 131 INTRODUCTION 131 FILTER ERROR METHOD
FOR LINEAR SYSTEMS 133 PROCESS NOISE FORMULATIONS 135 FILTER ERROR
ALGORITHM 138 FILTER ERROR METHOD FOR NONLINEAR SYSTEMS 145 INITIAL
NOISE COVARIANCE MATRIX 154 EXTENSION OF FILTER ERROR METHOD TO MULTIPLE
EXPERIMENTS 155 EXPLICIT MODELING OF GUST SPECTRUM 157 ON THE
EQUIVALENCE OF OUTPUT ERROR AND FILTER ERROR METHODS 159 FEM SOFTWARE
160 EXAMPLES 164 CONCLUDING REMARKS 174 CHAPTER 6. EQUATION ERROR
METHODS 177 INTRODUCTION 177 LEAST SQUARES METHOD 178 WEIGHTED LEAST
SQUARES METHOD 188 NONLINEAR AND MULTI-OUTPUT REGRESSION 189 TOTAL LEAST
SQUARES 191 INSTRUMENTAL VARIABLE METHOD 194 DATA PARTITIONING 196 MODEL
STRUCTURE DETERMINATION 197 EXAMPLES 204 CONCLUDING REMARKS 216 TABLE OF
CONTENTS XIII CHAPTER 7. RECURSIVE PARAMETER ESTIMATION 219 INTRODUCTION
219 LEAST SQUARES-BASED RECURSIVE METHODS 222 FILTERING METHODS 234
ALGORITHMIC IMPLEMENTATION AND SOFTWARE 245 EXAMPLES 248 COMPARATIVE
EVALUATION OF RECURSIVE ALGORITHMS 260 CONCLUDING REMARKS 261 CHAPTER 8.
ARTIFICIAL NEURAL NETWORKS 265 INTRODUCTION 265 BASICS OF NEURAL NETWORK
PROCESSING 268 TRAINING ALGORITHMS 270 OPTIMAL TUNING PARAMETERS 276
EXTRACTION OF STABILITY AND CONTROL DERIVATIVES FROM TRAINED FFNN 278
FFNN SOFTWARE 279 EXAMPLES . 281 CONCLUDING REMARKS 289 CHAPTER 9.
UNSTABLE AIRCRAFT IDENTIFICATION 295 INTRODUCTION 295 BASICS OF UNSTABLE
AIRCRAFT IDENTIFICATION 297 LEAST SQUARES METHOD 299 TOTAL LEAST SQUARES
METHOD 303 COMBINED OUTPUT ERROR AND LEAST SQUARES APPROACH 304 EQUATION
DECOUPLING METHOD 304 EIGENVALUE TRANSFORMATION METHOD 306 FILTER ERROR
METHOD 308 EXTENDED AND UNSCENTED KALMAN FILTERS 309 OUTPUT ERROR METHOD
310 OUTPUT ERROR METHOD WITH ARTIFICIAL STABILIZATION 310 MULTIPLE
SHOOTING METHOD 311 OUTPUT ERROR METHOD IN FREQUENCY DOMAIN 313 SEPARATE
SURFACE EXCITATION 314 PROGRAMMING CONSIDERATIONS 316 EXAMPLES 317
CONCLUDING REMARKS 331 CHAPTER 10. DATA COMPATIBILITY CHECK 335
INTRODUCTION 335 KINEMATIC EQUATIONS 336 FLIGHT PATH RECONSTRUCTION
TECHNIQUES 344 ESTIMATION-BEFORE-MODELING APPROACH 350 XIV TABLE OF
CONTENTS EXAMPLE 354 CALIBRATION OF FIVE-HOLE FLOW ANGLE PROBE 358
CALIBRATION OF STATIC PRESSURE PORTS 363 WIND-BOX MANEUVER TECHNIQUE 368
CONCLUDING REMARKS 371 CHAPTER 11. MODEL VALIDATION 375 INTRODUCTION 375
STATISTICAL ACCURACY OF PARAMETER ESTIMATES 376 RESIDUAL ANALYSIS 378
INVERSE SIMULATION 382 MODEL PLAUSIBILITY 383 MODEL PREDICTIVE
CAPABILITY 386 RANGE OF MODEL APPLICABILITY IN FREQUENCY DOMAIN 389
CONCLUDING REMARKS 392 CHAPTER 12. SELECTED ADVANCED EXAMPLES 395
INTRODUCTION 395 MODELING OF TRANSIT TIME LAG EFFECTS 396 AERODYNAMIC
EFFECTS OF LANDING GEAR 409 CONTROL SURFACE MALFUNCTION EFFECTS 411
UNSTEADY AERODYNAMICS MODELING 414 QUASI-STEADY STALL MODELING 418
GROUND EFFECT MODELING 427 HIGH-FIDELITY DATABASES FOR TRAINING
SIMULATORS 433 X-31A MODEL VALIDATION AND UPDATE 448 WAKE VORTEX
AIRCRAFT ENCOUNTER MODEL 450 PHOENIX RLV DEMONSTRATOR 455 ROTORCRAFT
MODELING AND SIMULATION 465 CONCLUDING REMARKS 479 EPILOGUE 485 APPENDIX
A. POWER SPECTRUM OF A MULTISTEP INPUT SIGNAL 489 APPENDIX B.
IDENTIFIABILITY OF INITIAL CONDITIONS AND BIAS PARAMETERS 493 APPENDIX
C. DERIVATION OF THE LIKELIHOOD FUNCTION 497 APPENDIX D. STATISTICAL
PROPERTIES OF MAXIMUM LIKELIHOOD ESTIMATES 501 ASYMPTOTIC CONSISTENCY
501 ASYMPTOTIC NORMALITY 503 ASYMPTOTIC EFFICIENCY 505 TABLE OF CONTENTS
XV APPENDIX E. MINIMIZATION OF LIKELIHOOD FUNCTION WITH RESPECT TO
COVARIANCE MATRIX R 507 APPENDIX F. DERIVATION OF KALMAN FILTER AND
EXTENDED KALMAN FILTER 511 EXTENDED KALMAN FILTER 518 INDEX 521
SUPPORTING MATERIALS 535
|
| adam_txt |
FLIGHT VEHICLE SYSTEM IDENTIFICATION: A TIME DOMAIN METHODOLOGY BY
RAVINDRA V. JATEGAONKAR SENIOR SCIENTIST INSTITUTE OF FLIGHT SYSTEMS DLR
GERMAN AEROSPACE CENTER BRAUNSCHWEIG, GERMANY VOLUME 216 PROGRESS IN
ASTRONAUTICS AND AERONAUTICS FRANK K. LU, EDITOR-IN-CHIEF UNIVERSITY OF
TEXAS AT ARLINGTON ARLINGTON, TEXAS PUBLISHED BY AMERICAN INSTITUTE OF
AERONAUTICS AND ASTRONAUTICS, INC. 1801 ALEXANDER BELL DRIVE, RESTON, VA
20191 TABLE OF CONTENTS FOREWORD VII PREFACE XVII CHAPTER 1.
INTRODUCTION 1 WHAT IS SYSTEM IDENTIFICATION? 2 MODEL CHARACTERIZATION 5
INTERDISCIPLINARY FLIGHT VEHICLE MODELING 6 WHY SYSTEM IDENTIFICATION? 8
PARAMETER ESTIMATION IN FLIGHT MECHANICS 9 ESTIMATION TECHNIQUES OF THE
PAST 11 MODERN METHODS OF AIRCRAFT PARAMETER ESTIMATION 12 GENERAL
ASPECTS 14 CHAPTER 2. DATA GATHERING 25 INTRODUCTION 25 FLIGHT TESTING
AND MANEUVERS 26 OPTIMAL INPUT DESIGN 33 SCOPE OF FLIGHT TESTING 46
FLIGHT TEST INSTRUMENTATION AND MEASUREMENTS 49 CONCLUDING REMARKS 54
CHAPTER 3. MODEL POSTULATES AND SIMULATION 59 INTRODUCTION 59 MODEL
DESCRIPTION 60 EXTENSIONS OF THE MATHEMATICAL MODELS 61 RETARDED SYSTEMS
63 LINEARIZED MODELS 67 PSEUDO-CONTROL INPUTS 69 TREATMENT OF INITIAL
CONDITIONS 71 SIMULATION 71 CONCLUDING REMARKS 76 CHAPTER 4. OUTPUT
ERROR METHOD 79 INTRODUCTION 79 THE PRINCIPLE OF MAXIMUM LIKELIHOOD
ESTIMATION 80 PROPERTIES OF MAXIMUM LIKELIHOOD ESTIMATES 83 XI XII TABLE
OF CONTENTS THE MAXIMUM LIKELIHOOD FUNCTION FOR ESTIMATION OF PARAMETERS
IN DYNAMIC SYSTEMS 84 BASICS OF COST FUNCTION OPTIMIZATION 86
GAUSS-NEWTON ALGORITHM 88 METHOD OF QUASI-LINEARIZATION 90 SYSTEM
RESPONSE AND SENSITIVITY COEFFICIENTS 91 AUTOMATIC GRADIENT COMPUTATION
94 STEP SIZE CONTROL 95 BOUNDED-VARIABLE GAUSS-NEWTON METHOD 98
CONSTRAINED GAUSS-NEWTON METHOD USING THE INTERIOR-POINT ALGORITHM 100
LEVENBERG-MARQUARDT METHOD 103 DIRECT SEARCH METHODS 105 REGRESSION
STARTUP PROCEDURE 107 ESTIMATION ACCOUNTING FOR A PRIORI INFORMATION 109
STATISTICAL ACCURACY OF PARAMETER ESTIMATES 1 LL ALGORITHMIC
IMPLEMENTATIONS 112 OEM SOFTWARE 115 EXAMPLES 119 CONCLUDING REMARKS 124
CHAPTER 5. FILTER ERROR METHOD 131 INTRODUCTION 131 FILTER ERROR METHOD
FOR LINEAR SYSTEMS 133 PROCESS NOISE FORMULATIONS 135 FILTER ERROR
ALGORITHM 138 FILTER ERROR METHOD FOR NONLINEAR SYSTEMS 145 INITIAL
NOISE COVARIANCE MATRIX 154 EXTENSION OF FILTER ERROR METHOD TO MULTIPLE
EXPERIMENTS 155 EXPLICIT MODELING OF GUST SPECTRUM 157 ON THE
EQUIVALENCE OF OUTPUT ERROR AND FILTER ERROR METHODS 159 FEM SOFTWARE
160 EXAMPLES 164 CONCLUDING REMARKS 174 CHAPTER 6. EQUATION ERROR
METHODS 177 INTRODUCTION 177 LEAST SQUARES METHOD 178 WEIGHTED LEAST
SQUARES METHOD 188 NONLINEAR AND MULTI-OUTPUT REGRESSION 189 TOTAL LEAST
SQUARES 191 INSTRUMENTAL VARIABLE METHOD 194 DATA PARTITIONING 196 MODEL
STRUCTURE DETERMINATION 197 EXAMPLES 204 CONCLUDING REMARKS 216 TABLE OF
CONTENTS XIII CHAPTER 7. RECURSIVE PARAMETER ESTIMATION 219 INTRODUCTION
219 LEAST SQUARES-BASED RECURSIVE METHODS 222 FILTERING METHODS 234
ALGORITHMIC IMPLEMENTATION AND SOFTWARE 245 EXAMPLES 248 COMPARATIVE
EVALUATION OF RECURSIVE ALGORITHMS 260 CONCLUDING REMARKS 261 CHAPTER 8.
ARTIFICIAL NEURAL NETWORKS 265 INTRODUCTION 265 BASICS OF NEURAL NETWORK
PROCESSING 268 TRAINING ALGORITHMS 270 OPTIMAL TUNING PARAMETERS 276
EXTRACTION OF STABILITY AND CONTROL DERIVATIVES FROM TRAINED FFNN 278
FFNN SOFTWARE 279 EXAMPLES .' 281 CONCLUDING REMARKS 289 CHAPTER 9.
UNSTABLE AIRCRAFT IDENTIFICATION 295 INTRODUCTION 295 BASICS OF UNSTABLE
AIRCRAFT IDENTIFICATION 297 LEAST SQUARES METHOD 299 TOTAL LEAST SQUARES
METHOD 303 COMBINED OUTPUT ERROR AND LEAST SQUARES APPROACH 304 EQUATION
DECOUPLING METHOD 304 EIGENVALUE TRANSFORMATION METHOD 306 FILTER ERROR
METHOD 308 EXTENDED AND UNSCENTED KALMAN FILTERS 309 OUTPUT ERROR METHOD
310 OUTPUT ERROR METHOD WITH ARTIFICIAL STABILIZATION 310 MULTIPLE
SHOOTING METHOD 311 OUTPUT ERROR METHOD IN FREQUENCY DOMAIN 313 SEPARATE
SURFACE EXCITATION 314 PROGRAMMING CONSIDERATIONS 316 EXAMPLES 317
CONCLUDING REMARKS 331 CHAPTER 10. DATA COMPATIBILITY CHECK 335
INTRODUCTION 335 KINEMATIC EQUATIONS 336 FLIGHT PATH RECONSTRUCTION
TECHNIQUES 344 ESTIMATION-BEFORE-MODELING APPROACH 350 XIV TABLE OF
CONTENTS EXAMPLE 354 CALIBRATION OF FIVE-HOLE FLOW ANGLE PROBE 358
CALIBRATION OF STATIC PRESSURE PORTS 363 WIND-BOX MANEUVER TECHNIQUE 368
CONCLUDING REMARKS 371 CHAPTER 11. MODEL VALIDATION 375 INTRODUCTION 375
STATISTICAL ACCURACY OF PARAMETER ESTIMATES 376 RESIDUAL ANALYSIS 378
INVERSE SIMULATION 382 MODEL PLAUSIBILITY 383 MODEL PREDICTIVE
CAPABILITY 386 RANGE OF MODEL APPLICABILITY IN FREQUENCY DOMAIN 389
CONCLUDING REMARKS 392 CHAPTER 12. SELECTED ADVANCED EXAMPLES 395
INTRODUCTION 395 MODELING OF TRANSIT TIME LAG EFFECTS 396 AERODYNAMIC
EFFECTS OF LANDING GEAR 409 CONTROL SURFACE MALFUNCTION EFFECTS 411
UNSTEADY AERODYNAMICS MODELING 414 QUASI-STEADY STALL MODELING 418
GROUND EFFECT MODELING 427 HIGH-FIDELITY DATABASES FOR TRAINING
SIMULATORS 433 X-31A MODEL VALIDATION AND UPDATE 448 WAKE VORTEX
AIRCRAFT ENCOUNTER MODEL 450 PHOENIX RLV DEMONSTRATOR 455 ROTORCRAFT
MODELING AND SIMULATION 465 CONCLUDING REMARKS 479 EPILOGUE 485 APPENDIX
A. POWER SPECTRUM OF A MULTISTEP INPUT SIGNAL 489 APPENDIX B.
IDENTIFIABILITY OF INITIAL CONDITIONS AND BIAS PARAMETERS 493 APPENDIX
C. DERIVATION OF THE LIKELIHOOD FUNCTION 497 APPENDIX D. STATISTICAL
PROPERTIES OF MAXIMUM LIKELIHOOD ESTIMATES 501 ASYMPTOTIC CONSISTENCY
501 ASYMPTOTIC NORMALITY 503 ASYMPTOTIC EFFICIENCY 505 TABLE OF CONTENTS
XV APPENDIX E. MINIMIZATION OF LIKELIHOOD FUNCTION WITH RESPECT TO
COVARIANCE MATRIX R 507 APPENDIX F. DERIVATION OF KALMAN FILTER AND
EXTENDED KALMAN FILTER 511 EXTENDED KALMAN FILTER 518 INDEX 521
SUPPORTING MATERIALS 535 |
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| id | DE-604.BV022247254 |
| illustrated | Illustrated |
| index_date | 2024-07-02T16:38:10Z |
| indexdate | 2024-07-09T20:53:16Z |
| institution | BVB |
| isbn | 1563478366 9781563478369 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-015458098 |
| oclc_num | 68262946 |
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| physical | XVIII, 534 S. Ill., graph. Darst. |
| psigel | ZDB-283-APAA |
| publishDate | 2006 |
| publishDateSearch | 2006 |
| publishDateSort | 2006 |
| publisher | AIAA |
| record_format | marc |
| series | Progress in astronautics and aeronautics |
| series2 | Progress in astronautics and aeronautics |
| spelling | Jategaonkar, Ravindra Verfasser aut Flight vehicle system identification a time domain methodology Ravinda V. Jatekaonkar Reston, VA AIAA 2006 XVIII, 534 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Progress in astronautics and aeronautics 216 Avions - Identification - Modèles mathématiques Avions - Identification. Aéronautique - Ingénierie des systèmes Mathematisches Modell Aerodynamics Mathematical models Aeronautics Mathematical models System identification Time-domain analysis Zeitbereichsdarstellung (DE-588)4242739-3 gnd rswk-swf Luftfahrzeug (DE-588)4168246-4 gnd rswk-swf Systemidentifikation (DE-588)4121753-6 gnd rswk-swf Luftfahrzeug (DE-588)4168246-4 s Systemidentifikation (DE-588)4121753-6 s Zeitbereichsdarstellung (DE-588)4242739-3 s 1\p DE-604 Progress in astronautics and aeronautics 216 (DE-604)BV001890233 216 GBV Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=015458098&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Jategaonkar, Ravindra Flight vehicle system identification a time domain methodology Progress in astronautics and aeronautics Avions - Identification - Modèles mathématiques Avions - Identification. Aéronautique - Ingénierie des systèmes Mathematisches Modell Aerodynamics Mathematical models Aeronautics Mathematical models System identification Time-domain analysis Zeitbereichsdarstellung (DE-588)4242739-3 gnd Luftfahrzeug (DE-588)4168246-4 gnd Systemidentifikation (DE-588)4121753-6 gnd |
| subject_GND | (DE-588)4242739-3 (DE-588)4168246-4 (DE-588)4121753-6 |
| title | Flight vehicle system identification a time domain methodology |
| title_auth | Flight vehicle system identification a time domain methodology |
| title_exact_search | Flight vehicle system identification a time domain methodology |
| title_exact_search_txtP | Flight vehicle system identification a time domain methodology |
| title_full | Flight vehicle system identification a time domain methodology Ravinda V. Jatekaonkar |
| title_fullStr | Flight vehicle system identification a time domain methodology Ravinda V. Jatekaonkar |
| title_full_unstemmed | Flight vehicle system identification a time domain methodology Ravinda V. Jatekaonkar |
| title_short | Flight vehicle system identification |
| title_sort | flight vehicle system identification a time domain methodology |
| title_sub | a time domain methodology |
| topic | Avions - Identification - Modèles mathématiques Avions - Identification. Aéronautique - Ingénierie des systèmes Mathematisches Modell Aerodynamics Mathematical models Aeronautics Mathematical models System identification Time-domain analysis Zeitbereichsdarstellung (DE-588)4242739-3 gnd Luftfahrzeug (DE-588)4168246-4 gnd Systemidentifikation (DE-588)4121753-6 gnd |
| topic_facet | Avions - Identification - Modèles mathématiques Avions - Identification. Aéronautique - Ingénierie des systèmes Mathematisches Modell Aerodynamics Mathematical models Aeronautics Mathematical models System identification Time-domain analysis Zeitbereichsdarstellung Luftfahrzeug Systemidentifikation |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=015458098&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| volume_link | (DE-604)BV001890233 |
| work_keys_str_mv | AT jategaonkarravindra flightvehiclesystemidentificationatimedomainmethodology |