Optimization based clearance of flight control laws: a civil aircraft application
Gespeichert in:
Format: | Buch |
---|---|
Sprache: | English |
Veröffentlicht: |
Berlin [u.a.]
Springer
2012
|
Schriftenreihe: | Lecture notes in control and information sciences
416 |
Schlagworte: | |
Online-Zugang: | Inhaltstext Inhaltsverzeichnis |
Beschreibung: | XXIV, 449 S. Ill., graph. Darst. 235 mm x 155 mm |
ISBN: | 3642226264 9783642226267 |
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IMAGE 1
CONTENTS
PART I: CLEARANCE OF CIVIL AIRCRAFT 1 INTRODUCTION 3
ANDERS HANSSON, ANDREAS VARGA 1.1 BACKGROUND 3
1.2 THE COFCLUO PROJECT 7
1.3 OUTLINE OF THE BOOK 8
REFERENCES 9
2 CLEARANCE BENCHMARK FOR A CIVIL AIRCRAFT 11
GUILHEM PUYOU, YANNICK LOSSER 2.1 INTRODUCTION 11
2.1.1 NONLINEAR BENCHMARK 12
2.1.2 INTEGRAL BENCHMARK 12
2.2 DESCRIPTION OF FLIGHT CONTROL LAWS 13
2.2.1 FLIGHT CONTROL LAWS PHILOSOPHY 14
2.2.2 LONGITUDINAL AXIS 15
2.2.3 LATERAL AXIS 16
2.3 THE NONLINEAR BENCHMARK MODEL 17
2.3.1 FLIGHT ENVELOPES 17
2.3.2 PILOT INPUTS AND PILOT MODEL 18
2.3.3 ACTUATORS AND SENSORS 19
2.3.4 FLIGHT MECHANICS 19
2.3.5 CONTROL LAWS 22
2.4 CLEARANCE CRITERIA FOR THE NONLINEAR BENCHMARK 23
2.4.1 UN-PILOTED AIRCRAFT STABILITY 23
2.4.2 MANOEUVRABILITY REQUIREMENTS FOR THE LONGITUDINAL AXIS 25
2.4.3 FLIGHT DOMAIN PROTECTION 26
2.5 THE INTEGRAL BENCHMARK MODEL 27
2.5.1 FLEXIBLE AIRCRAFT MODEL 28
BIBLIOGRAFISCHE INFORMATIONEN HTTP://D-NB.INFO/1012892468
DIGITALISIERT DURCH
IMAGE 2
X CONTENTS
2.5.2 MASS CONFIGURATIONS AND FLIGHT POINTS 29
2.6 CLEARANCE CRITERIA FOR THE INTEGRAL BENCHMARK 30
2.6.1 AEROELASTIC STABILITY 30
2.6.2 STABILITY MARGINS 31
2.6.3 COMFORT WITH RESPECT TO TURBULENCE 31
2.7 CURRENT AIRBUS PRACTICES 32
2.7.1 VALIDATION METHODS 32
2.7.2 VALIDATION MEANS 34
2.7.3 VALIDATION COVERAGE 35
2.8 AIRBUS EXPECTATIONS 36
REFERENCES 36
PART II: GENERATION OF LINEAR UNCERTAIN MODELS
3 GENERATION OF LPV MODELS AND LFRS FOR A NONLINEAR AIRCRAFT MODEL 39
SIMON HECKER, HARALD PFIFER 3.1 INTRODUCTION 39
3.2 BASIC PROCEDURE FOR THE GENERATION OF LPV MODELS 41 3.2.1
SPECIFICATION OF KNOWN RELATIONS 42
3.2.2 ELEMENT-WISE SIGNIFICANCE CHECK 42
3.2.3 MULTIVARIABLE POLYNOMIAL FITTING 43
3.2.4 FULL RANK BASIS REDUCTION 45
3.3 OPTIMISATION OF THE LINEAR PARAMETER VARYING MODEL 46 3.3.1
OPTIMISATION WITH V-GWP METRIC CONSTRAINT 47 3.3.2 OPTIMISATION OF THE
POLYNOMIAL COEFFICIENTS 47
3.4 APPLICATION TO THE COFLCUO NONLINEAR AIRCRAFT MODEL . 48 3.4.1 THE
AIRCRAFT MODEL 48
3.4.2 TRIMMING AND LINEARISATION 49
3.4.3 GENERATION OF AN LFR FOR THE ACTUATOR MODEL AND THE SENSOR MODEL
51
3.4.4 GENERATION OF LPV MODELS AND LFRS FOR THE FLIGHT DYNAMICS MODEL 52
3.4.5 VALIDATION OF THE LPV MODELS AND LFRS OF THE FLIGHT DYNAMICS MODEL
54
3.5 CONCLUSION 56
REFERENCES 56
4 GENERATION OF LFRS FOR A FLEXIBLE AIRCRAFT MODEL 59
CLEMENT ROOS 4.1 INTRODUCTION 59
4.2 PROBLEM STATEMENT 60
4.2.1 DESCRIPTION OF THE REFERENCE MODELS 60
4.2.2 LFT MODELLING OBJECTIVE 61
4.2.3 CHALLENGING ISSUES 62
IMAGE 3
CONTENTS XI
4.3 DESCRIPTION OF THE METHOD 62
4.3.1 GENERATION OF REDUCED AND CONSISTENT MODELS . . . 63 4.3.2
POLYNOMIAL INTERPOLATION AND LFT MODELLING 66 4.3.3 SPECIAL CASE OF A
COARSE GRID 67
4.3.4 LOW ORDER LFR GENERATION PROCEDURE 68
4.4 NUMERICAL RESULTS 69
4.4.1 CONSTRUCTION OF THE LFR 70
4.4.2 VALIDATION ON THE GRID 72
4.4.3 VALIDATION ON THE WHOLE CONTINUOUS DOMAIN 72 4.4.4 EVALUATION OF
THE LOW ORDER LFR GENERATION PROCEDURE 75
4.5 CONCLUSION 76
REFERENCES 77
5 GENERATION OF LFRS FOR A NONLINEAR CONTROLLER AND CLOSED-LOOP AIRCRAFT
MODELS 79
CARSTEN DOELL, FABIEN LESCHER, CLEMENT ROOS 5.1 INTRODUCTION 79
5.2 DESCRIPTION OF THE NONLINEAR CONTROLLER 80
5.3 GENERATION OF THE CONTROLLER LFRS 84
5.3.1 LFRS FOR PARAMETER VARYING GAINS 85
5.3.2 LFRS FOR SATURATIONS AND RATE LIMITERS 87
5.3.3 LFRS FOR NONLINEAR INPUT/OUTPUT RELATIONS 89
5.3.4 LFRS FOR THE OVERALL NONLINEAR CONTROLLER 91
5.4 GENERATION OF THE CLOSED-LOOP LFR 96
5.4.1 CLOSED-LOOP LFRS FOR THE NONLINEAR MODEL PERFORMANCE ANALYSIS 96
5.4.2 CLOSED-LOOP LFRS FOR THE NONLINEAR MODEL STABILITY ANALYSIS 99
5.4.3 CLOSED-LOOP LFRS FOR THE FLEXIBLE MODEL STABILITY AND PERFORMANCE
ANALYSIS 100
5.5 EVALUATION OF THE LFR GENERATION PROCESS 101
5.5.1 EVALUATION OF THE LFR OF THE NONLINEAR CONTROLLER 101
5.5.2 EVALUATION OF THE CLOSED-LOOP LFR 103
5.6 CONCLUSIONS 107
REFERENCES 108
6 IDENTIFICATION OF LPV STATE-SPACE MODELS USING ^ - M I N I M I S A T I
ON I LL
DANIEL PETERSSON, JOHAN LOEFBERG 6.1 INTRODUCTION I LL
6.2 ^-MINIMISATION 113
6.2.1 IMPORTANT PROPERTY OF TI.2 -MINIMISATION 114
6.2.2 REWRITING THE 7I 2 -NORM OF THE ERROR SYSTEM 115
6.3 METHOD 1: GENERAL NONLINEAR OPTIMISATION 116
IMAGE 4
XII CONTENTS
6.3.1 EVALUATION OF THE COST FUNCTION 116
6.3.2 EVALUATION OF THE GRADIENT 118
6.4 METHOD 2: SEMIDEFINITE PROGRAMMING 120
6.5 REGULARISATION OF THE OPTIMISATION PROBLEM 122
6.6 EXAMPLES 123
6.6.1 ACADEMIC EXAMPLE 123
6.6.2 APPLICATION EXAMPLE 126
6.7 CONCLUSIONS 127
REFERENCES 128
PART III: ANALYSIS TECHNIQUES AND TOOLS
7 ENHANCED (-ANALYSIS TECHNIQUES FOR CLEARANCE 131
JEAN-MARC BIANNIC, CLEMENT ROOS 7.1 INTRODUCTION 131
7.2 PROBLEM STATEMENT AND PRELIMINARY RESULTS 132
7.2.1 INTRODUCTION TO [I- ANALYSIS 132
7.2.2 VALIDITY OF THE SCALING MATRICES 134
7.3 COMPUTATION OF A GUARANTEED ROBUSTNESS MARGIN 136 7.3.1 STANDARD
VERSION OF THE ALGORITHM 136
7.3.2 EXTENSION TO MODAL PERFORMANCE ANALYSIS 137 7.4 COMPUTATION OF A
GUARANTEED STABILITY DOMAIN 138 7.4.1 STANDARD VERSION OF THE ALGORITHM
138
7.4.2 COMPUTATION OF THE /I-SENSITIVITIES 140
7.4.3 OTHER ALGORITHMIC VARIANTS 140
7.5 CONNECTION WITH CLEARANCE OF FLIGHT CONTROL LAWS 141 7.5.1
EIGENVALUE CRITERION 141
7.5.2 STABILITY MARGIN CRITERION 142
7.6 CONCLUSION 145
REFERENCES 146
8 WORST-CASE PARAMETER SEARCH BASED CLEARANCE USING PARALLEL NONLINEAR
PROGRAMMING METHODS 149
HANS-DIETER JOOS 8.1 INTRODUCTION 149
8.2 THEORETICAL BASIS 150
8.2.1 FORMULATION AS GLOBAL OPTIMISATION PROBLEM 150 8.2.2 LEVEL OF
CONFIDENCE 151
8.2.3 CLEARANCE STRATEGY 151
8.2.4 TRANSFORMATION OF PARAMETER SPACE 152
8.3 APPLIED OPTIMISATION METHODS 153
8.4 PARALLEL COMPUTATION 155
8.5 CONCLUSIONS 157
REFERENCES 158
IMAGE 5
CONTENTS XIII
9 LYAPUNOV-BASED ROBUSTNESS ANALYSIS TECHNIQUES FOR CLEARANCE 161
ANDREA GARULLI, ALFIO MASI, SIMONE PAOLETTI, ERCUEMENT TIIRKOGLU 9.1
INTRODUCTION 161
9.2 ROBUSTNESS ANALYSIS USING LYAPUNOV FUNCTIONS 163 9.2.1 PROBLEM
STATEMENT IN LFR FRAMEWORK 163
9.2.2 WANG-BALAKRISHNAN RELAXATIONS 164
9.2.3 FU-DASGUPTA RELAXATIONS 165
9.2.4 DETTORI-SCHERER RELAXATIONS 167
9.2.5 SPECIAL CASE: AFFINE PARAMETER-DEPENDENT SYSTEMS 168
9.3 CLEARANCE OF FLIGHT CONTROL SCHEMES 169
9.3.1 AEROELASTIC STABILITY CRITERION 169
9.3.2 UN-PILOTED STABILITY CRITERION 170
9.3.3 PARTITIONING OF THE UNCERTAINTY DOMAIN 171
9.3.4 GRIDDING 171
9.3.5 A GRAPHICAL USER INTERFACE FOR ROBUST STABILITY CLEARANCE PROBLEMS
172
9.4 NUMERICAL EXAMPLE 173
9.5 CONCLUSIONS 177
REFERENCES 177
10 IQC-BASED ANALYSIS TECHNIQUES FOR CLEARANCE 179
CHRISTOS PAPAGEORGIOU, RIKARD FALKEBORN, ANDERS HANSSON 10.1
INTRODUCTION 179
10.2 ANALYSIS OF ROBUST STABILITY AND ROBUST PERFORMANCE USING IQCS 180
10.2.1 PARAMETRIZED AND MULTIPLE IQCS 182
10.2.2 VERIFYING THE ROBUST STABILITY CONDITION 184 10.3 STABILITY
MARGINS CLEARANCE WITH IQCS 185
10.3.1 SPECIFYING NICHOLS EXCLUSION REGIONS 185 10.3.2 LOWER BOUND
CALCULATION 188
10.3.3 FORMULATION OF THE PERTURBED STABILITY MARGIN PROBLEM 190
10.4 FORMULATION OF THE COMFORT CLEARANCE CRITERION USING IQCS 192
10.4.1 STATE-SPACE FORMULATION OF THE COMFORT CRITERION 192
10.4.2 ROBUST V.2 PERFORMANCE ANALYSIS USING IQCS 193 10.5 PRELIMINARY
STEPS OF THE ANALYSIS ALGORITHMS 198
10.6 CONCLUSION 200
REFERENCES 200
IMAGE 6
XIV CONTENTS
11 NONLINEAR PROGRAMMING METHODS FOR WORST-CASE PILOT INPUT
DETERMINATION 203
DANIEL SKOOGH, FREDRIK BEREFELT 11.1 INTRODUCTION 203
11.2 OPTIMISATION-BASED SEARCH OF WORST-CASE PILOT INPUTS . . . 205
11.2.1 DEFINITION OF CLEARANCE CRITERIA 205
11.2.2 PARAMETRIZATION OF PILOT SIGNALS 205
11.2.3 DEFINITION OF OPTIMISATION PROBLEM 205
11.3 LOCAL OPTIMISATION METHODS 207
11.3.1 PATTERN SEARCH 207
11.3.2 CYCLIC COORDINATE DESCENT METHOD 208
11.3.3 QUASI-NEWTON METHOD 209
11.4 GLOBAL OPTIMISATION METHODS 210
11.4.1 GENETIC ALGORITHMS 210
11.4.2 DIFFERENTIAL EVOLUTION 212
11.4.3 EVOLUTION STRATEGIES 213
11.4.4 DIVIDING RECTANGLES METHOD 214
11.5 CONCLUSIONS 215
REFERENCES 216
PART IV: ANALYSIS RESULTS
12 APPLICATION OF /I-ANALYSIS TECHNIQUES TO CLEARANCE 221 CLEMENT ROOS,
JEAN-MARC BIANNIC 12.1 INTRODUCTION 221
12.2 ANALYSIS OF THE EIGENVALUE CRITERION 222
12.2.1 DIRECT APPLICATION OF THE ANALYSIS METHOD AND VARIATIONS 222
12.2.2 INFLUENCE OF THE SHAPE OF THE INITIAL DOMAIN 224 12.2.3
EVALUATION OF CONSERVATISM 226
12.2.4 STABILITY WITH RESPECT TO THE BOUNDARY OF A TRUNCATED SECTOR 227
12.2.5 APPLICATION TO SYSTEMS WITH HIGHLY REPEATED PARAMETERS 229
12.3 ANALYSIS OF THE STABILITY MARGIN CRITERION 230
12.4 CONCLUSIONS AND FUTURE PERSPECTIVES 231
REFERENCE 232
13 APPLICATION OF PARALLEL NONLINEAR PROGRAMMING METHODS FOR WORST-CASE
PARAMETER SEARCH 233
HANS-DIETER JOOS 13.1 INTRODUCTION 233
13.2 SIMULATION BASED CLEARANCE CRITERIA 234
13.2.1 LOW SPEED MANOEUVRABILITY CRITERION 234
IMAGE 7
CONTENTS XV
13.2.2 LOAD FACTOR PROTECTION: LONGITUDINAL MANOEUVRE 240
13.2.3 LOAD FACTOR PROTECTION: LATERAL MANOEUVRE 244 13.3 PERFORMANCE
COMPARISON OF OPTIMISATION METHODS 249 13.4 COMPUTATION TIMES 250
13.5 SUMMARY 251
REFERENCES 252
14 APPLICATIONS OF LYAPUNOV-BASED ANALYSIS TECHNIQUES FOR CLEARANCE 253
ANDREA GARULLI, ALFIO MASI, SIMONE PAOLETTI, ERCUEMENT TUERKOGLU 14.1
INTRODUCTION 253
14.2 RESULTS ON AEROELASTIC STABILITY CRITERION 254
14.2.1 LFR MODELS FOR AEROELASTIC STABILITY 254
14.2.2 ROBUSTNESS ANALYSIS BY PROGRESSIVE TILING 256 14.2.3 ROBUSTNESS
ANALYSIS BY ADAPTIVE TILING 259
14.2.4 DISCUSSION 261
14.3 RESULTS ON UN-PILOTED STABILITY CRITERION 262
14.3.1 LFR MODELS FOR UN-PILOTED STABILITY 262
14.3.2 ROBUSTNESS ANALYSIS RESULTS 263
14.4 ROBUSTNESS ANALYSIS OF AFFINE PARAMETER-DEPENDENT MODELS 272
14.5 CONCLUSIONS 273
REFERENCES 275
15 APPLICATIONS OF IQC-BASED ANALYSIS TECHNIQUES FOR CLEARANCE 277
RAGNAR WALLIN, SINA KHOSHFETRAT PAKAZAD, ANDERS HANSSON, ANDREA GARULLI,
ALFIO MASI 15.1 INTRODUCTION 277
15.2 COPING WITH COMPUTATIONAL COMPLEXITY 279
15.2.1 CHOICE OF IQCS 279
15.2.2 PARTITIONING OF THE PARAMETER SPACE 281
15.2.3 MODEL REDUCTION 281
15.3 STABILITY ANALYSIS OF THE NONLINEAR RIGID AIRCRAFT MODEL 282
15.3.1 ANALYSIS OF ROBUST LINEAR STABILITY FOR NOMINAL CENTRE OF GRAVITY
POSITION 283
15.3.2 ANALYSIS OF ROBUST NONLINEAR STABILITY 292
15.4 LOADS AND COMFORT CRITERION 293
15.4.1 COMPUTATIONAL TIMES 294
15.4.2 LEVEL OF CONSERVATISM 294
15.5 CONCLUSIONS AND FUTURE RESEARCH 296
REFERENCES 296
IMAGE 8
XVI CONTENTS
16 APPLICATION OF NONLINEAR PROGRAMMING METHODS FOR DETERMINATION OF
WORST-CASE PILOT INPUTS 299
DANIEL SKOOGH, FREDRIK BEREFELT 16.1 INTRODUCTION 299
16.2 APPLICATION OF LOCAL METHODS 300
16.2.1 THE QUASI-NEWTON METHOD 301
16.2.2 PATTERN SEARCH 305
16.3 APPLICATION OF GLOBAL METHODS 306
16.3.1 DIFFERENTIAL EVOLUTION 307
16.3.2 EVOLUTION STRATEGIES 309
16.3.3 GENETIC ALGORITHM 310
16.3.4 DIVIDING RECTANGLES 312
16.4 CONCLUSIONS 313
REFERENCES 314
PART V: INDUSTRIAL EVALUATION
17 EVALUATION OF CLEARANCE TECHNIQUES IN AN INDUSTRIAL CONTEXT 319
GUILHEM PUYOU, RAFAEL FERNANDES DE OLIVEIRA, ADRIEN BERARD 17.1 OVERVIEW
OF BASIC METHODS 319
17.1.1 ENHANCED FI- ANALYSIS TECHNIQUES 319
17.1.2 CONVEX RELAXATIONS 321
17.1.3 IQC-BASED ANALYSIS TECHNIQUES 322
17.1.4 WORST-CASE SEARCH-BASED METHODS 322
17.2 METHODS, CRITERIA AND MODELS 324
17.2.1 TECHNIQUES MAPPING 324
17.2.2 LFR REVIEW 324
17.3 STRAIGHTFORWARD APPLICATIONS OF LFR BASED METHODS 330 17.3.1
BASELINE SOLUTION 330
17.3.2 ENHANCED /X-ANALYSIS TECHNIQUES 331
17.3.3 CONVEX RELAXATIONS 333
17.3.4 IQC-BASED ANALYSIS TECHNIQUES 335
17.3.5 DISCUSSION 336
17.4 STRAIGHTFORWARD APPLICATIONS OF WORST-CASE SEARCH-BASED METHODS 337
17.4.1 BASELINE SOLUTION 338
17.4.2 COMPARISONS WITH THE BASELINE SOLUTION 340 17.5 INDUSTRIAL
APPLICATION OF WORST-CASE SEARCH-BASED METHODS 342
17.5.1 COUPLING OF OPTIMISATION AND SIMULATION MODEL 342
17.5.2 BENCHMARK: WORST-CASE PILOT INPUT 343
17.5.3 ENHANCEMENTS 347
17.5.4 PROPOSED VALIDATION WORKFLOW 354
IMAGE 9
CONTENTS XVII
17.6 CONCLUSION 356
REFERENCES 356
18 CONCLUDING REMARKS AND INDUSTRIAL PERSPECTIVE 359 ANDERS HANSSON,
PHILIPPE MENARD 18.1 SUMMARY OF ACHIEVEMENTS 359
18.2 INDUSTRIAL PERSPECTIVE 362
18.3 FUTURE RESEARCH 362
18.3.1 INFLUENCE OF INTERNAL CONTROLLER STRUCTURE 362 18.3.2
IDENTIFICATION OF CRITICAL PARAMETER DOMAINS 363 18.3.3 LOW
COMPUTATIONAL BURDEN CHALLENGE 363 18.3.4 CLEARANCE OF SYSTEMS WITH
FAILURES 364
18.3.5 HUMAN PILOT MODELLING CHALLENGE 364
18.3.6 OTHER CHALLENGES 364
PART VI: SURVEYS ON FLIGHT CONTROL CLEARANCE
19 ASSESSMENT OF AIRCRAFT FLIGHT CONTROLLERS USING NONLINEAR ROBUSTNESS
ANALYSIS TECHNIQUES 369
PETER SEILER, GARY J. BALAS, ANDREW K. PACKARD 19.1 INTRODUCTION 369
19.2 SUM OF SQUARES OPTIMIZATION 371
19.2.1 BACKGROUND 371
19.2.2 CONNECTIONS BETWEEN SOS POLYNOMIALS AND SEMIDEFINITE MATRICES 372
19.2.3 SOFTWARE FOR SOS OPTIMIZATIONS 373
19.3 NONLINEAR ANALYSIS TOOLS 374
19.3.1 REGION OF ATTRACTION ESTIMATION 375
19.3.2 INPUT-OUTPUT GAINS 379
19.3.3 REACHABLE SETS 381
19.3.4 SUMMARY OF APPROACH 382
19.4 EXAMPLES 382
19.4.1 ROA ESTIMATION FOR AN F/A-18 382
19.4.2 REACHABLE SET ESTIMATION FOR NASA'S GTM 389 19.5 CONCLUSION 393
REFERENCES 394
20 VALIDATION AND VERIFICATION (V&V) OF SAFETY-CRITICAL SYSTEMS
OPERATING UNDER OFF-NOMINAL CONDITIONS 399 CHRISTINE M. BEICASTRO 20.1
INTRODUCTION: MOTIVATION FOR OFF-NOMINAL CONDITIONS 399
20.1.1 AIRCRAFT LOC 400
20.1.2 FUTURE ADVANCED SYSTEM CONCEPT 403
20.2 V&V PROBLEM 404
20.2.1 V&V PROBLEM COMPLEXITY AND TECHNICAL CHALLENGES 405
IMAGE 10
XVIII CONTENTS
20.2.2 V&V PROCESS REQUIREMENTS 407
20.2.3 RESEARCH APPROACH 411
20.3 V&V PROCESS AND RESEARCH FRAMEWORK 411
20.4 V&V RESEARCH STATUS AND RECENT ACCOMPLISHMENTS 417 20.5 SUMMARY AND
CONCLUDING REMARKS 417
REFERENCES 418
21 CLEARANCE OF FLIGHT CONTROL LAWS FOR CAREFREE HANDLING OF ADVANCED
FIGHTER AIRCRAFT 421
ROBERT STICH 21.1 INTRODUCTION 421
21.2 PLANT DESCRIPTION AND CLEARANCE PROCESS 422
21.2.1 AIRCRAFT DESCRIPTION 423
21.2.2 CONTROL LAWS CLEARANCE PROCESS 423
21.3 CAREFREE HANDLING 424
21.3.1 CAREFREE HANDLING DEFINITION 425
21.3.2 MANOEUVRES CATEGORY DEFINITION 425
21.4 ASSESSMENT MODEL 426
21.4.1 AIRCRAFT MODEL 426
21.4.2 AIRCRAFT CONFIGURATION 427
21.4.3 TOLERANCE CONCEPT 428
21.4.4 ASSESSMENT TOOLS 428
21.5 ASSESSMENT METHODS 429
21.5.1 TRIM ANALYSIS 429
21.5.2 LINEAR ANALYSIS 430
21.5.3 NONLINEAR SIMULATION FOR CAREFREE HANDLING 433 21.5.4 NONLINEAR
SIMULATION FOR DEDICATED FLIGHT TEST MANOEUVRES 437
21.5.5 MANNED SIMULATION 437
21.5.6 FLIGHT TEST 438
21.5.7 POST-FLIGHT ANALYSIS FOR AERODYNAMIC DATASET VALIDATION 441
21.6 CONCLUSION 441
REFERENCES 442
A NOMENCLATURE 443
INDEX 447 |
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id | DE-604.BV039687556 |
illustrated | Illustrated |
indexdate | 2024-07-21T00:15:06Z |
institution | BVB |
isbn | 3642226264 9783642226267 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-024536430 |
oclc_num | 760202827 |
open_access_boolean | |
owner | DE-83 |
owner_facet | DE-83 |
physical | XXIV, 449 S. Ill., graph. Darst. 235 mm x 155 mm |
publishDate | 2012 |
publishDateSearch | 2012 |
publishDateSort | 2012 |
publisher | Springer |
record_format | marc |
series | Lecture notes in control and information sciences |
series2 | Lecture notes in control and information sciences |
spelling | Optimization based clearance of flight control laws a civil aircraft application Andreas Varga ... (eds.) Berlin [u.a.] Springer 2012 XXIV, 449 S. Ill., graph. Darst. 235 mm x 155 mm txt rdacontent n rdamedia nc rdacarrier Lecture notes in control and information sciences 416 Mathematisches Modell (DE-588)4114528-8 gnd rswk-swf Flugregelung (DE-588)4328094-8 gnd rswk-swf Optimierung (DE-588)4043664-0 gnd rswk-swf Flugregelung (DE-588)4328094-8 s Mathematisches Modell (DE-588)4114528-8 s Optimierung (DE-588)4043664-0 s DE-604 Varga, Andreas Sonstige oth Erscheint auch als Online-Ausgabe 978-3-642-22627-4 Lecture notes in control and information sciences 416 (DE-604)BV005848579 416 text/html http://deposit.dnb.de/cgi-bin/dokserv?id=3843060&prov=M&dok_var=1&dok_ext=htm Inhaltstext DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=024536430&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
spellingShingle | Optimization based clearance of flight control laws a civil aircraft application Lecture notes in control and information sciences Mathematisches Modell (DE-588)4114528-8 gnd Flugregelung (DE-588)4328094-8 gnd Optimierung (DE-588)4043664-0 gnd |
subject_GND | (DE-588)4114528-8 (DE-588)4328094-8 (DE-588)4043664-0 |
title | Optimization based clearance of flight control laws a civil aircraft application |
title_auth | Optimization based clearance of flight control laws a civil aircraft application |
title_exact_search | Optimization based clearance of flight control laws a civil aircraft application |
title_full | Optimization based clearance of flight control laws a civil aircraft application Andreas Varga ... (eds.) |
title_fullStr | Optimization based clearance of flight control laws a civil aircraft application Andreas Varga ... (eds.) |
title_full_unstemmed | Optimization based clearance of flight control laws a civil aircraft application Andreas Varga ... (eds.) |
title_short | Optimization based clearance of flight control laws |
title_sort | optimization based clearance of flight control laws a civil aircraft application |
title_sub | a civil aircraft application |
topic | Mathematisches Modell (DE-588)4114528-8 gnd Flugregelung (DE-588)4328094-8 gnd Optimierung (DE-588)4043664-0 gnd |
topic_facet | Mathematisches Modell Flugregelung Optimierung |
url | http://deposit.dnb.de/cgi-bin/dokserv?id=3843060&prov=M&dok_var=1&dok_ext=htm http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=024536430&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
volume_link | (DE-604)BV005848579 |
work_keys_str_mv | AT vargaandreas optimizationbasedclearanceofflightcontrollawsacivilaircraftapplication |