Breitenecker / Kopacek / Troch Simulation of Control Systems

Selected Papers from the IFAC Symposium, Vienna, Austria, 22-26 September, 1986
1. Auflage 2014
ISBN: 978-1-4832-9899-3
Verlag: Elsevier Science & Techn.
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 469 Seiten, Web PDF

Reihe: IFAC Symposia Series

This volume investigates simulation and computer-aided control system designs. The book covers the use of models and program packages, their theoretical aspects and practical applications, and uses illustrative case studies to give a comprehensive view of this fast developing science.

Autoren/Hrsg.

Breitenecker, F.

Kopacek, Peter

Troch, I.

Inhaltsverzeichnis

1;Front Cover;1
2;Simulation of Control Systems;4
3;Copyright Page;5
4;Table of Contents;10
5;IFAC SYMPOSIUM ON SIMULATION OF CONTROL SYSTEMS;6
6;PREFACE;8
7;CHAPTER 1. BUILDING MODELS FOR A SPECIFIED PURPOSE USING SYSTEM IDENTIFICATION;14
7.1;1 INTRODUCTION;14
7.2;2 PROBLEM SETUP;14
7.3;3 MEASURES OF MODEL QUALITY;15
7.4;4 PREDICTION ERROR IDENTIFICATION METHODS;15
7.5;5 ASYMPTOTIC PROPERTIES OF THE ESTIMATED TRANSFER FUNCTIONS;16
7.6;6. MINIMIZING THE BIAS CONTRIBUTION;17
7.7;7 MINIMIZING THE VARIANCE CONTRIBUTION;17
7.8;8 MINIMIZING THE DESIGN CRITERIA;18
7.9;9. CONCLUSIONS;18
7.10;REFERENCES;18
8;CHAPTER 2. OPTIMIZATION OF COMPUTER STRUCTURES;20
8.1;INTRODUCTION;20
8.2;OPTIMIZATION OF COMPUTER STRUCTURES;20
8.3;HIERARCHICAL MODELLING;21
8.4;SIMULATING A DECENTRALIZED NETWORK;21
8.5;SIMULATING THE COMMUNICATIONS SYSTEM OF A MULTIPROCESSOR;24
8.6;CONCLUSIONS;26
8.7;REFERENCES;26
9;CHAPTER 3. KNOWLEDGE ENGINEERING APPROACH TO SYSTEM MODELLING, DIAGNOSIS, SUPERVISION AND CONTROL;28
9.1;INTRODUCTION;28
9.2;SYSTEM MODELLING AND SIMULATION;29
9.3;KNOWLEDGE-BASED FAULT DIAGNOSIS SYSTEMS;30
9.4;KNOWLEDGE-BASED SUPERVISION SYSTEMS;31
9.5;CONCLUSIONS;33
9.6;REFERENCES;34
10;CHAPTER 4. PROCESS CONTROL OF LARGE SCALE SYSTEMS;36
10.1;INTRODUCTION;36
10.2;AN ADVANCED CONTROL ENVIRONMENT FOR LARGE SCALE PROCESSES;39
10.3;CONCLUSIONS;40
10.4;REFERENCES;40
11;CHAPTER 5. APPLICATION EXAMPLES OF ADVANCED DIGITAL CONTROL IN WIRE INDUSTRY;42
11.1;INTRODUCTION;42
11.2;ENAMELLING OVEN;42
11.3;MULTIVARIABLE CONTROL OF ENAMELLING OVEN;43
11.4;PRODUCTION PROCESS OF FOAMED INSULATED CABLE;44
11.5;CONTROL SYSTEM FOR FOAMED INSULATED CABLE;45
11.6;CONCLUSION;46
11.7;REFERENCES;46
12;CHAPTER 6. SIMULATION AND REALISATION OF IN-LINE CONTROL ALGORITHMS;48
12.1;INTRODUCTION;48
12.2;MUSIC: MULTI-PURPOSE SIMULATION AND CONTROL;49
12.3;FOCOP: FORTH CONTROL PACKAGE;52
12.4;CONCLUDING REMARKS;54
12.5;REFERENCES;54
13;CHAPTER 7. SIMULATION IN CONTROL SYSTEM DESIGN;56
13.1;INTRODUCTION;56
13.2;DEVELOPMENT OF SIMULATION;56
13.3;CONTROL SYSTEM DESIGN;57
13.4;WHY SIMULATE;57
13.5;DESIGN AND IMPLEMENTATION;58
13.6;CONCLUSIONS;60
13.7;REFERENCES;60
14;CHAPTER 8. SIMULATION AND COMPUTER AIDED CONTROL SYSTEM DESIGN IN ENGINEERING EDUCATION;64
14.1;INTRODUCTION;64
14.2;OVERVIEW OF APPROACHES AND SOLUTIONS;65
14.3;STUDENT ENVIRONMENTS UNDER MIDGET;66
14.4;THE DIALOG MACHINE;68
14.5;PROGRAM CONTROL;68
14.6;THE USE OF MATRIX-ENVIRONMENTS IN ENGINEERING EDUCATION;70
14.7;THE USE OF SINGLE PURPOSE PROGRAMS;71
14.8;DISCUSSION AND RECOMMENDATIONS;72
14.9;TRENDS;72
14.10;CONCLUSIONS;72
14.11;REFERENCES;72
15;CHAPTER 9. MODELLING AND SIMULATION OF NONLINEAR SYSTEMS BASED ON INFINITE BILINEAR REALIZATIONS;74
15.1;INTRODUCTION;74
15.2;BILINEARIZATION OF NON-LINEARANALYTICAL SYSTEMS;74
15.3;ILLUSTRATIVE EXAMPLES;75
15.4;APPLICATION IN STABILITY OF SYSTEMS;77
15.5;CONCLUSION;78
15.6;REFERENCES;78
16;CHAPTER 10. REALIZATION ALGORITHM FOR TIME-VARYING SYSTEMS;80
16.1;I· INTRODUCTION;80
16.2;II. SVSTW DESCRIPTION AND NOTATIONS;80
16.3;III. DEVELOPMENT OF THE ADAPTIVE REALIZATION ALGORITHM;81
16.4;IV. SIMULATION RESULTS;83
16.5;V. CONCLUSIONS;85
16.6;REFERENCES;85
17;CHAPTER 11. STATE AND PARAMETER IDENTIFICATION OF NONLINEAR SYSTEMS VIA BLOCK-PULSE FUNCTIONS;86
17.1;INTRODUCTION;86
17.2;THE QUASILINEARIZATION TECHNIQUE;86
17.3;PROPERTIES OF BLOCK-PULSE FUNCTIONS;87
17.4;SOLUTION OF MPBV PROBLEM VIA BPFs;87
17.5;NUMERICAL EXAMPLE;88
17.6;CONCLUSION;88
17.7;REFERENCES;89
18;CHAPTER 12. WALSH FUNCTION BASED SIMULATION OF NONLINEAR PARABOLIC DISTRIBUTED SYSTEMS THROUGH QUASILINEARIZATION;90
18.1;INTRODUCTION;90
18.2;THE PRESENT TECHNIQUE;90
18.3;NUMERICAL EXAMPLE;91
18.4;CONCLUSIONS;92
18.5;REFERENCES;92
19;CHAPTER 13. STRUCTURED MODEL OF REAL-TIME SYSTEMS;94
19.1;INTRODUCTION;94
19.2;THE MODEL DESCRIPTION;95
19.3;THE MODEL SPECIFICATION;98
19.4;IMPLEMENTATION OF THE MODEL;99
19.5;CONCLUSIONS;99
19.6;REFERENCES;99
20;CHAPTER 14. SIMULATION INVESTIGATIONS OF DYNAMICAL SYSTEMS USING EXPERIMENTAL DESIGN THEORY;100
20.1;INTRODUCTION;100
20.2;MATHEMATICAL APPARATUS;100
20.3;SIMPLIFICATIONS OF SIMULATION MODELS;102
20.4;EVALUATION OF MODEL PARAMETERS;103
20.5;ANALYSIS OF THE INFLUENCE OF PARAMETERS ON OUTPUT CHARACTERISTICS;104
20.6;OPTIMUM SYNTHESIS;105
20.7;CONCLUSION;105
20.8;REFERENCES;105
21;CHAPTER 15. COMPUTER SIMULATION ORIENTED MODELS OF CONCURRENTLY FLOWING PROCESSES;106
21.1;INTRODUCTION;106
21.2;INTERPROCESSES COOPERATION;106
21.3;MODEL STATEMENT;108
21.4;MQDELIZATION;109
21.5;COICLUSIOISS;111
21.6;REFERENCES;111
22;CHAPTER 16. ON MODELLING AND SIMULATION OF DISCRETE EVENT DYNAMIC SYSTEMS;112
22.1;INTRODUCTION;112
22.2;FUNDAMENTAL NOTIONS;112
22.3;DEDS ANALYSIS AND MODELLING;113
22.4;SIMULATION;114
22.5;CONCLUSION;115
22.6;REFERENCES;115
23;CHAPTER 17. SIMULATION OF THE CONTROL OF ARIVER POWER PLANT ON SIMSTAR ANDWITH ACSL;118
23.1;INTRODUCTION;118
23.2;MATHEMATICAL MODEL;118
23.3;SIMULATION TOOLS FOR CONTINUOUS PROCESSES;120
23.4;DIGITAL SIMULATION WITH ACSL;121
23.5;PARALLEL SIMULATION WITH SIMSTAR;122
23.6;CONCLUSION;123
23.7;REFERENCES;123
24;CHAPTER 18. SIMULATION, MODEL-REDUCTION BY SIMULATION AND CONTROLLER DESIGN FOR A HYDRO-POWER PLANT;124
24.1;INTRODUCTION;124
24.2;THEORETICAL SYSTEMS ANALYSIS AND MODELLING FOR SIMULATION BYSIMULATION;125
24.3;FIRST RESULT OF SIMULATINGTHE CONTROL LOOP;126
24.4;IDENTIFICATION AND MODEL-ORDER REDUCTION BY SIMULATION;127
24.5;CONTROLLER DESIGN AND SIMULATION;127
24.6;CONCLUSION;129
24.7;REFERENCES;129
25;CHAPTER 19. SIMULATION OF A COLD ROLL-MILL;130
25.1;INTRODUCTION;130
25.2;PROCESS DESCRIPTION;130
25.3;MATHEMATICAL MODEL;131
25.4;CONSTANTS SETTING;132
25.5;DIGITAL SIMULATION;132
25.6;SIMULATION RESULTS;133
25.7;CONCLUSION;133
25.8;ACKNOWLEDGEMENTS;133
25.9;REFERENCES;133
26;CHAPTER 20. DIGITAL SIMULATION OF CLOSED-LOOPED CONTROL SYSTEM IN AIR CONDITIONING PLANTS;136
26.1;INTRODUCTION;136
26.2;DESCRIPTION OF THE PROBLE;136
26.3;THEORETICAL MODELLING;137
26.4;SUMMARY;140
26.5;REFERENCES;141
27;CHAPTER 21. DYNAMIC SIMULATION OF A MULTIPLE-EFFECT EVAPORATION STATION;142
27.1;INTRODUCTION;142
27.2;MATHEMATICAL MODEL OF ONE EVAPORATOR;142
27.3;EVAPORATION STATION MODEL;144
27.4;PRESENT USE OF THE MODEL;145
27.5;RESULTS OF SIMULATION;144
27.6;REFERENCES;145
28;CHAPTER 22. A SIMULATION STUDY OF NOISE INDUCED ROLL IN BANK-TO-TURN CLOS GUIDANCE;146
28.1;INTRODUCTION;146
28.2;ANALYSIS OF NOISE INDUCED ROLLMOTION;146
28.3;SIMULATION RESULTS;147
28.4;MODERN FILTER-CONTROLLERS FOR BTT CLOS GUIDANCE;147
28.5;THRESHOLD TECHNIQUE FOR REDUCINGNOISE INDUCED ROLL MOTION;148
28.6;CONCLUSIONS;149
28.7;REFERENCES;149
29;CHAPTER 23. THE EFFECTS OF FLEXIBLE MASTS ON STABILISED SURVEILLANCE RADAR AERIAL SYSTEMS;152
29.1;INTRODUCTION;152
29.2;ANALYSIS OF THE SYSTEM;152
29.3;EQUATIONS OF MOTION;153
29.4;SIMULATION RESULTS;155
29.5;THE EFFECTS OF THE FLEXIBLE MAST ON CONTROL SYSTEM BEHAVIOUR;156
29.6;CONCLUSIONS;157
29.7;REFERENCES;157
30;CHAPTER 24. IMPLEMENTATION OF A COMPUTER CONTROLLED INSTRUMENTATION SET FOR ELECTROMECHANICAL SYSTEM MODELLING;158
30.1;INTRODUCTION;158
30.2;CONTROLLED INSTRUMENTATION SYSTEM;158
30.3;IDENTIFICATION;159
30.4;NOMENCLATURE;160
30.5;RESULTS AND CONCLUSION;160
30.6;REFERENCES;160
30.7;ACKNOWLEDGEMENTS;160
31;CHAPTER 25. A SIMULATION STUDY OF UNSTABLE LIMIT CYCLES;162
31.1;INTRODUCTION;162
31.2;THEORETICAL BACKGROUND;162
31.3;LIMIT CYCLE STABILITY;163
31.4;INITIAL CONDITIONS FOR THE SIMULATIONS;164
31.5;SIMULATION RESULTS;164
31.6;DISCUSSION;165
31.7;REFERENCES;165
32;CHAPTER 26. INVERSE SIMULATION FOR NONLINEAR SYSTEM ANALYSIS;168
32.1;INTRODUCTION;168
32.2;ANALYSIS PROBLEM;168
32.3;ITERATIVE NUMERICAL SOLUTION;169
32.4;ANALYSIS EXAMPLE;169
32.5;CONCLUSIONS;171
32.6;REFERENCES;171
33;CHAPTER 27. INTERACTIVE DESIGN OF TIME SERIESCONTROLLERS UNDER CONSIDERATION OF MEASUREMENT NOISE;174
33.1;INTRODUCTION;174
33.2;FUNDAMENTAL DESIGNOF A TIME SERIES CONTROLLER;175
33.3;MODIFICATION AND SMOOTHINGOF THE MEASURED STEP RESPONSE;175
33.4;EFFECT OF MEASUREMENT NOISEON THE CLOSED LOOP BEHAVIOUR;177
33.5;SUMMARY;178
33.6;REFERENCES;178
34;CHAPTER 28. STATISTICAL PROPERTIES OF THE QUANTIZATION NOISE;180
34.1;INTRODUCTION;180
34.2;PROBABILITY DENSITY FUNCTION OF THE QUANTIZATION NOISE;181
34.3;CORRELATION BETWEEN INPUT SIGNALAND QUANTIZATION NOISE;182
34.4;AUTOCORRELATION FUNCTION OF THE QUANTIZATION NOISE;183
34.5;REFERENCES;184
35;CHAPTER 29. SIMULATION AND MODELLING OF NON-LINEAR SAMPLED-DATA AND DISCRETE CONTROL SYSTEMS;186
35.1;INTRODUCTION;186
35.2;Z AND w-DOMAIN DESCRIBING FUNCTIONS;186
35.3;COMPUTER AIDED DESIGN;186
35.4;SIMULATION;187
35.5;REFERENCES;187
36;CHAPTER 30. INTERNAL MODEL CONTROL WITH STATE AFFINE REPRESENTATION METHODOLOGY AND APPLICATION SOFTWARE;192
36.1;INTRODUCTION;192
36.2;INTERNAL MODEL CONTROL WITH STATE AFFINE REPRESENTATION;192
36.3;SOFTWARE DESCRIPTION;193
36.4;SIMULATION RESULTS;195
36.5;CONCLUSION;196
36.6;REFERENCES;196
37;CHAPTER 31. OPTIMAL CONTROL OF LARGE SCALE SYSTEMS USING OVERLAPPING DECOMPOSITION, RECIPROCALTRANSFORMATION AND SINGULAR PERTURBATIONS METHOD;198
37.1;INTRODUCTION;198
37.2;PROBLEM STATEMENT;198
37.3;QUASI-OPTIMAL COMPOSITE CONTROL;201
37.4;IMPLEMENTATION ON AN EXAMPLE;203
37.5;CONCLUSION;204
37.6;REFERENCES;204
38;CHAPTER 32. A DISTURBANCE DECOUPLING CONTROLLAW WITH OUTPUT DYNAMIC MATCHING FOR NONLINEAR SYSTEMS. APPLICATIONTO A BINARY DISTILLATION COLUMN;206
38.1;INTRODUCTION;206
38.2;THE DISTURBANCE DECOUPLING PROBLEM (DDP)IN NONLINEAR SYSTEMS;206
38.3;DYNAMIC OUTPUT MATCHING AMD THE DDP;207
38.4;APPLICATION TO A BINARY DISTILLATION COLUMN;208
38.5;SIMULATION;210
38.6;CONCLUDING REMARKS;210
38.7;REFERENCES;211
39;CHAPTER 33. COMPUTER AIDED DECENTRALIZED CONTROL SYSTEM DESIGN;212
39.1;INTRODUCTION;212
39.2;NOMINAL AND PERTURBED CONTROL SYSTEM;212
39.3;TIME DOMAIN STABILITY ROBUSTNESS MEASURES;213
39.4;FINE TUNING DECENTRALIZED CONTROL;214
39.5;COMPUTER AIDED DESIGN PROCEDURE;214
39.6;ACKNOWLEDGEMENT;215
39.7;REFERENCES;215
40;CHAPTER 34. MICROCOMPUTER SIMULATION OF ROBUST MODEL REFERENCE ADAPTIVE CONTROL SYSTEMS;218
40.1;INTRODUCTION;218
40.2;FREQUENCY APPROACH FOR DECREASING THE INFLUENCE OF THE UNMODELLED DYNAMICS;218
40.3;MODIFICATION OF THE INDIRECTALGORITHM OF GOODWIN;219
40.4;SOFTWARE ORGANISATION;220
40.5;CONCLUSIONS;221
40.6;REFERENCES;221
41;CHAPTER 35. QUALITY INVESTIGATION OF AN ADAPTIVE SMITH PREDICTOR;224
41.1;INTRODUCTION;224
41.2;THE SMITH PREDICTOR CONTROL SCHEME;225
41.3;THE DEVELOPE D ADAPTIVE SMITH PREDICTOR;225
41.4;SIMULATION RESULTS;226
41.5;THE ADAPTIVE ESTIMATION TECHNIQUE;226
41.6;CONCLUSIONS;227
41.7;REFERENCES;227
42;CHAPTER 36. SIMULATION OF THE NEWLY DESIGNED ADAPTIVE CONTROLLER;230
42.1;INTRODUCTION;230
42.2;PROBLEM FORMULATION;230
42.3;THE NEWLY DESIGNED ADAPTIVE CONTROLLER;231
42.4;SIMULATION;232
42.5;CONCLUSIONS;233
42.6;REFERENCES;233
43;CHAPTER 37. DESIGN AND SIMULATION OF MODEL REFERENCE ADAPTIVE NONLINEAR MULTIVARIABLE SYSTEMS;236
43.1;INTRODUCTION;236
43.2;MODEL-FOLLOWING CONTROL SYSTEMS;236
43.3;THE VSS APPROACH;237
43.4;THE HYPERSTABILITY APPROACH;237
43.5;THE PROGRAM PACKAGE;238
43.6;CONCLUSIONS;239
43.7;REFERENCES:;239
44;CHAPTER 38. A SYSTEMATIC APPROACH TO CONTROL SYSTEM DESIGN USING A REVERSE FRAME ALIGNMENT DESIGN TECHNIQUE;240
44.1;INTRODUCTION;240
44.2;DEFINITIONS AND RELATIONSHIPS;240
44.3;SIMPLE DESIGN TECHNIQUE;241
44.4;REVERSE FRAME ALIGNMENTDESIGN TECHNIQUE;242
44.5;EXAMPLE;243
44.6;CONCLUSION;243
44.7;REFERENCES;244
45;CHAPTER 39. FINITE-DIMENSIONAL COMPENSATORS FOR DISTRIBUTED PARAMETER SYSTEMS USING TDP-PACKAGE;246
45.1;INTRODUCTION;246
45.2;MODULES OF TDP;246
45.3;SOFTWARE ASPECTS;247
45.4;REFERENCES;248
46;CHAPTER 40. COMPUTER AIDED DESIGN OF THE DISTRIBUTED PARAMETER CONTROL SYSTEMS;252
46.1;INTRODUCTION;252
46.2;DESCRIPTION OF SYSTEM AND PROBLEM FORMULATION;252
46.3;DISCRETE MATHEMATICAL MODELS;253
46.4;STATE ESTIMATION AND PARAMETER IDENTIFICATION;254
46.5;OPTIMAL CONTROL;255
46.6;STRUCTURE GENERATOR SYSTEMS;255
46.7;DESIGNER'S LANGUAGE;256
46.8;DIAGNOSTIC BLOCK;256
46.9;CONCLUSION;256
46.10;REFERENCES;257
47;CHAPTER 41. CONTROL OF TRANSIENT RESPONSES USING SHAPE DESCRIPTORS;258
47.1;1. SITUATION OF THE PROBLEM;258
47.2;2. SOME RESULTS ON THE STEP RESPONSES OF REAL PROCESSES;258
47.3;3. ELABORATION OF A CONTROL ALGORITHM FROM THE SHAPE DESCRIPTORS;259
47.4;4. IMPLEMENTATION OF THE METHOD;260
47.5;5. SOME RESULTS;261
47.6;6. CONCLUSION;261
47.7;REFERENCES;261
48;CHAPTER 42. EVALUATION OF PERFORMANCES OF PROCESS CONTROL SYSTEMS AND THE CHOICE OF USER-ORIENTED PROCESS CONTROL SYSTEM, BASED ON THE CONCEPT OF QUASI-SATISFICING DECISION MAKING;264
48.1;INTRODUCTION;264
48.2;MOTIVATION;264
48.3;SETTING OF THE TASK;265
48.4;MULTICRITERIA MODEL FOR JUDGEMENT OF PROCESS CONTROL SYSTEM PERFORMANCES;265
48.5;THE METHODOLOGY OF MULTICRITERIA DECISION MAKING; SUMMARY;267
48.6;CONCLUSION;267
48.7;ACKNOWLEDGEMENTS;267
48.8;REFERENCES;267
49;CHAPTER 43. DESIGN AND TEST OF ADAPTIVE STATE FEEDBACK CONTROLS FOR HYDRAULIC SERVO DRIVES BY DIGITAL SIMULA;270
49.1;INTRODUCTION;270
49.2;MODELLING;270
49.3;CHARACTERISTICS OF THE DRIVE;271
49.4;DIGITAL SIMULATION OF THE DRIVE;271
49.5;CONTROL CONCEPTS;273
49.6;CONCLUSIONS;275
49.7;REFERENCES;275
50;CHAPTER 44. APPLICATION OF RECEDING HORIZON ADAPTIVE CONTROL TO AN UNDERFLOOR HEATING SYSTEM;276
50.1;INTRODUCTION;276
50.2;DISCUSSION OF THE CONTROL PROBLEM;277
50.3;PRINCIPLE OF THE OLFO CONTROL ALGORITHM;277
50.4;MODELLING;278
50.5;PRACTICAL IMPLEMENTATION AND RESULTS;279
50.6;CONCLUSIONS;280
50.7;REFERENCES;280
51;CHAPTER 45. SIMULATION AND CONTROL OF HVAC SYSTEMS;282
51.1;INTRODUCTION.;282
51.2;DYNAMIC SIMULATIONS;282
51.3;FREQUENCY ANALYSIS;283
51.4;HVAC PLANT;283
51.5;CONTROLLER TEST;284
51.6;CONCLUSION;285
51.7;REFERENCES;285
52;CHAPTER 46. MANOEUVRING AND MOTION CONTROL OF A HYDROFOIL;288
52.1;INTRODUCTION;288
52.2;A COMPUTER AIDED DESIGN -SIMULATION SUITE;288
52.3;TYPICAL INVESTIGATION;290
52.4;CONCLUSION;292
52.5;REFERENCES;292
53;CHAPTER 47. CONCEPT, DESIGN AND SIMULATION OF A TURBOFAN CONTROL SYSTEM;294
53.1;INTRODUCTION;294
53.2;THE TJBOFAN ENGINE PROCESS;294
53.3;A LINEAR MULTIVARIABLE CONTROL STRUCTURE FROM LITERATURE;295
53.4;EXAMPLE OF AN OPERATING FUELCONTROLLER;295
53.5;NONLINEAR APPLICATION OF ANOPEN LOOP COMPENSATOR;296
53.6;CONCLUSION;299
53.7;REFERENCES;299
54;CHAPTER 48. A SIMULATION PACKAGE APPLIED TO DESIGN AND HYBRID SIMULATION OF ANOPTIMIZED TURBO-COMPRESSOR CONTROL SYSTEM;300
54.1;INTRODUCTION;300
54.2;THE SIMULATED COMPRESSOR STATION;301
54.3;SIMULATION TOOLS;301
54.4;DESIGN AND SIMULATION OF THE CONTROL SYSTEM;303
54.5;CONCLUSION;304
54.6;REFERENCES;304
55;CHAPTER 49. SIMULATION OF POSITIONING ACCURACY OF THE TORCH IN ADAPTIVE ROBOTIC WELDING SYSTEM;306
55.1;INTRODUCTION;306
55.2;ALGORITHMS OF THE THREE-DIMENSIONAL GUIDING OF THE TORCH BY MEANS OF DUPLEX PROXIMITY SENSOR AND PROBLEMS CONNECTED WITH ITS SIMULATION;306
55.3;REFERENCES;311
56;CHAPTER 50. MODELLING, IDENTIFICATION, DESIGN AND SIMULATION OF THE CONTROL OF A SPRAY DRIER;312
56.1;INTRODUCTION;312
56.2;DESCRIPTION OF THE PLANT;312
56.3;MODELLING;312
56.4;IDENTIFICATION;312
56.5;CONTROL STRATEGY;313
56.6;CONTROL DESIGN;313
56.7;CONCLUSION;314
56.8;SIMULATION OF THE CONTROL;314
56.9;REFERENCES;314
57;CHAPTER 51. SIMULATION AND TESTING OF ANOPTIMAL CONTROL CONCEPT FOR AN INDUSTRIAL COMBUSTION PROCESS;318
57.1;INTRODUCTION;318
57.2;COMBUSTION PROCESS MODEL;319
57.3;OPTIMAL CONTROL STRATEGY;320
57.4;RESULTS;321
57.5;SIMULATION TESTS;321
57.6;ACKNOWLEDGEMENT;322
57.7;CONCLUSIONS;322
57.8;REFERENCES;322
58;CHAPTER 52. ADAPTIVE PREDICTION OF ANODE-EFFECTS IN ALUMINIUM REDUCTION CELLS;324
58.1;INTRODUCTION;324
58.2;PROCESS MODEL;324
58.3;ADAPTIVE EXPONENTIAL PREDICTOR;325
58.4;REAL-TIME MEASUREMENTS;325
58.5;SELF-TUNING PREDICTION;326
58.6;CONCLUSIONS;326
58.7;ACKNOWLEDGEMENT;326
58.8;REFERENCES;326
59;CHAPTER 53. CLOSED LOOP SIMULATION AND TESTING OF THE STC DIRECT BROADCAST SATELLITE ATTITUDE AND ORBIT CONTROL SYSTEM;330
59.1;INTRODUCTION;330
59.2;SENSOR STIMULATIONS EARTH SIMULATORS;332
59.3;CONCLUSIONS;333
59.4;ACKNOWLEDGMENTS;334
59.5;REFERENCES;334
60;CHAPTER 54. BLACK-BOX MODELLING IN CONTROL SYSTEM DESIGN;340
60.1;1. INTRODUCTION;340
60.2;2. DESCRIPTION OF THE SYSTEM AND PROBLEM DEFINITION;340
60.3;3. MATHEMATICAL MODELLING;341
60.4;4. CONTROL DESIGN;343
60.5;5. TESTING OF THE RESULTS;344
60.6;6. DISCUSSION AND CONCLUSION;345
60.7;REFERENCES;345
61;CHAPTER 55. NUMERICAL METHODS OF DETERMINATION OF OPTIMUM CONTROL OF ELECTRIC TRACTION VEHICLE;346
61.1;INTRODUCTION;346
61.2;CHOICE METHOD OF THE OPTIMIZATION;347
61.3;SOLUTION OF THE OPTIMIZATION PROBLEM;348
61.4;CONCLUSIONS;348
61.5;REFERENCES;348
62;CHAPTER 56. OPTIMAL ENERGY DISTRIBUTION CONTROL AT THE STEEL WORKS;350
62.1;INTRODUCTION;350
62.2;BACKGROUND;350
62.3;24 HR ENERGY FORECASTING;351
62.4;OPTIMAL ENERGY DISTRIBUTION;351
62.5;CONCLUSION;352
63;CHAPTER 57. APPLICATION OF A SIMULATION TECHNIQUE FOR MICROPROCESSOR SPEED CONTROL SYSTEMS TESTING;356
63.1;INTRODUCTION;356
63.2;GENERAL CHARACTERISTIC OF THE METHOD;356
63.3;SIMULATION METHOD;357
63.4;INVESTIGATION RESULTS;360
63.5;CONCLUSIONS;361
63.6;REFERENCES;361
64;CHAPTER 58. SIMULATION OF CONTROLLED GTO DC CHOPPERS SUPPLYING ACTIVE LOADS;362
64.1;INTRODUCTION;362
64.2;ANALYSIS OF THE CHOPPER CIRCUIT;363
64.3;CONTROL OF THE GTO DC CHOPPERS;364
64.4;CONCLUSION;366
64.5;REFERENCES;366
65;CHAPTER 59. SIMULATION STUDIES USING THE PROGRAM DASP;368
65.1;INTRODUCTION;368
65.2;GENERAL REMARKS;369
65.3;EXAMPLE;370
65.4;CONCLUSION;372
65.5;REFERENCES;372
66;CHAPTER 60. LINSY - A PROGRAM FOR THE ANALYSIS AND THE DESIGN OF CONTROL SYSTEMS;374
66.1;INTRODUCTION;374
66.2;A SHORT DESCRIPTION OF LINSY;374
66.3;DESIGN EXAMPLE;375
66.4;CONCLUSION;378
66.5;REFERENCES;378
67;CHAPTER 61. CAEBEL - A COMPUTER-AIDED CONTROL SYSTEMS SYNTHESIS AND ANALYSIS SYSTEM;380
67.1;INTRODUCTION;380
67.2;GRAPHICS INPUT;380
67.3;TRANSITION FROM GRAPHICS TO STATES PACE FORM;382
67.4;ANALYSIS ALGORITHMS;382
67.5;SUMMARY;383
67.6;ACKNOWLEDGEMENTS;384
67.7;REFERENCES;384
68;CHAPTER 62. A COMPUTER SYSTEM FOR DESIGN AND TRAINING ON ADVANCED CONTROL TECHNIQUES;386
68.1;INTRODUCTION;386
68.2;DSC STRUCTURE;386
68.3;PACKAGE COMPONENTS;387
68.4;CONCLUSIONS;390
68.5;REFERENCES;390
69;CHAPTER 63. A SIMULATION AND ANALYSIS PROGRAM FOR THE EDUCATION IN AUTOMATIC CONTROL;392
69.1;INTRODUCTION!;392
69.2;SPECIFICATIONS FOR PROGRAM DEVELOPMENT;393
69.3;DESCRIPTION OF SIMULATION MODELS;393
69.4;THE PROGRAM HANDLING;393
69.5;ADJUSTMENT OF THE GOVERNORS;394
69.6;HARDWARE AND PROGRAMMING LANGUAGE;395
69.7;EDUCATION EXAMPLE;395
69.8;CONCLUSIONS;396
69.9;REFERENCES;396
70;CHAPTER 64. SIMULATION OF MULTIVARIABLE CONTROL SYSTEMS WITH SIMCOS;398
70.1;INTRODUCTION;398
70.2;MULTIVARIABLE SIMULATION WITH SIMCOS;398
70.3;SIMULATION OF A TELESCOPE CONTROL SYSTEM;399
70.4;CONCLUSION;400
70.5;REFERENCES;401
71;CHAPTER 65. DESIGN AND APPLICATION OF THE PORTABLE SIMULATOR PSI;402
71.1;INTRODUCTION;402
71.2;CONCEPT OF PSI;402
71.3;MENU CONTROLLED DATA SET GENERATION;403
71.4;APPLICATION OF PSI;403
71.5;CONCLUSIONS;404
71.6;REFERENCES;404
72;CHAPTER 66. AN APPROACH TO THE SIMULATION OF LARGE-SCALE INTERCONNECTED MIMO CONTROL SYSTEMS;408
72.1;INTRODUCTION;408
72.2;ON SYSTEMATIC PREMISES ADOPTED;408
72.3;ASPECTS OF SYSTEM-THEORETICAL BACKGROUND;409
72.4;ON THE INTERACTIVE SUPPORT PACKAGE;410
72.5;CONCLUSIONS;410
72.6;REFERENCES;411
73;CHAPTER 67. INSTALLATION OF AN AUTOMATIC PROGRAMMED CONTROL SOFTWARE PACKAGE ON AN AUTOMATION WITH PROGRAMMING CONSOLE ON A SERIES III MDS;414
73.1;INTRODUCTION;414
73.2;PRESENTATION OF THE ARCHITECTURE OF THE CELL CONTROLLER;415
73.3;PRESENTATION OF THE TEø8 SOFTWARE;416
73.4;CONCLUSION;418
73.5;BIBLIOGRAPHIE;419
74;CHAPTER 68. A NEW SIMULATION PACKAGE CSMP-C AND ITS APPLICATION TO CONTROL SYSTEM SIMULATION AND DESIGN;420
74.1;INTRODUCTION;420
74.2;THE NEW FUNCTIONAL BLOCKS;421
74.3;NUMERICAL METHODS;421
74.4;ILLUSTRATIVE EXAMPLES;422
74.5;CONCLUSION;422
74.6;REFERENCES;422
75;CHAPTER 69. THE MICOSS PACKAGE FOR SIMULATION OF COMPUTER-CONTROLLED SYSTEMS ANDITS INTEGRATION IN A CACSD WORKSTATION;424
75.1;INTRODUCTION;424
75.2;AN OVERVIEW OF THE WORKSTATION;424
75.3;THE MICOSS PACKAGE CHARACTERISTICS;425
75.4;FINAL COMMENTS;426
75.5;REFERENCES;426
76;CHAPTER 70. AUTOMATIC KNOWLEDGE BASED DECISION FEEDBACK CONTROL OF SIMULATION EXPERIMENTS;430
76.1;INTRODUCTION;430
76.2;PRELIMINARIES;431
76.3;THE PURPOSE OF THE SYSTEM;431
76.4;THE CONTROL STRUCTURE;432
76.5;CONCLUSION AND STRATEGY OF FURTHER INVESTIGATIONS;434
76.6;REFERENCES;435
77;CHAPTER 71. A SIMULATION PROGRAM FOR HIGHER-ORDER NONLINEAR PLLs;436
77.1;INTRODUCTION;436
77.2;THE PHASE-LOCKED LOOP MODEL;436
77.3;THE SIMULATION PROGRAM;437
77.4;CONCLUSION;438
77.5;REFERENCES;438
78;CHAPTER 72. A DECISION SUPPORT SYSTEM FOR THE OPERATION OF ELECTRICAL SYSTEMS;440
78.1;INTRODUCTION;440
78.2;DATABASE;440
78.3;SIMULATION OF OPERATION IN A MERE THERMAL SYSTEM;441
78.4;SIMULATION OF OPERATION IN THERMAL AND HYDRAULIC SYSTEMS;442
78.5;AN EXAMPLE OF OPERATION IN CORSICA;443
78.6;CONCLUSION;444
78.7;REFERENCES;444
79;CHAPTER 73. CONTINUOUS SYSTEM SIMULATION PROGRAM IMPLEMENTED ON A PERSONAL COMPUTER;446
79.1;INTRODUCTION;446
79.2;OUTLINE OF MCSP;446
79.3;FUNDAMENTAL IDEAS OF MCSP;446
79.4;APPLICATION OF MCSP;448
79.5;CALCULATION SPEED AND ERROR OF MCSP;450
79.6;CONCLUSION;451
79.7;REFERENCES;451
80;CHAPTER 74. SIMULATION OF ENERGY SYSTEMS' OPERATION;452
80.1;1. INTRODUCTION;452
80.2;2. PROBLEM DEFINITION;452
80.3;3. DECISION SUPPORT SYSTEM "ENERGY MANAGEMENT";452
80.4;4. MODEL SYSTEMS;452
80.5;5. THE MIXED-INTEGER PROGRAMMING (MIP) MODEL;452
80.6;6. MATRIX GENERATOR;452
80.7;7. OPTIMIZATION;453
80.8;8. RESULTS IN CPU-TIME;454
80.9;9. SUMMARY;454
80.10;10. REFERENCES;454
81;CHAPTER 75. DECISION SUPPORT SYSTEMS FOR ENVIRONMENTAL SYSTEMS;456
81.1;1. INTRODUCTION;456
81.2;REFERENCES;460
82;CHAPTER 76. THE MODELING OF PMS SIMULATION;462
82.1;INTRODUCTION;462
82.2;THE PREDICATE TRANSITION NETWORK MODEL;462
82.3;THE MODELLING OF SIMULATION TO PMS;463
82.4;PROGRAMMING THE SIMULATION IMPOSING L-PR0L0G;464
82.5;CONCLUSION;465
82.6;REFERENCES;465
83;AUTHOR INDEX;468
84;SUBJECT INDEX;470