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Applied Process Control Efficient Problem Solving

Langue : Anglais

Auteur :

Couverture de l’ouvrage Applied Process Control
Bridging theory and practice, this book contains over 200 practical exercises and their solutions, to develop the problem-solving abilities of process engineers.
The problems were developed by the author during his many years of teaching at university and are kept brief, taken from the fields of instrumentation, modelling, plant control, control strategy design and stability of control. The algorithm flows and codes, which are mostly based on MATLAB?, are given in many cases and allow for easy translation into applications.
Since the text is structured according to "Applied Process Control: Essential Methods", all of the necessary background information on the underlying methods can be easily and quickly found in this accompanying book.

Part II Solutions  149

2 Problem Solutions – Instrumentation 151

S_21 2411  151

S_22 22 151

S_23 22 152

S_24 24112  152

S_25 2411  153

S_26 2411  153

S_27 2411  153

S_28 2411  154

S_29 2421  154

S_210 244  155

S_211 2611  155

S_212 2612  156

S_213 2612  156

S_214 2612  157

S_215 2614  158

S_216 2614  158

S_217 2614  159

S_218 2614  159

S_219 2614  160

S_220 2614  161

S_221 2614  161

S_222 2614  162

S_223 2614  162

S_224 2614  163

S_225 2614  164

S_226 2614  164

S_227 2614  165

S_228 2615  166

S_229 27 167

S_230 28 167

S_231 29 168

S_232 29 169

S_233 29 169

S_234 29 169

S_235 29 170

S_236 29 170

S_237 29 171

S_238 29 172

S_239 29 173

3 Problem Solutions – Modelling 175

S_31 33 175

S_32 33 177

S_33 33 178

S_34 33 179

S_35 33 180

S_36 33 181

S_37 33 181

S_38 33 182

S_39 33 183

S_310 33 184

S_311 33 184

S_312 33 185

S_313 34 186

S_314 34 187

S_315 35 189

S_316 35 190

S_317 37 191

S_318 37 192

S_319 37 192

S_320 37 193

S_321 37 193

S_322 37 194

S_323 37 194

S_324 391  195

S_325 392  197

S_326 3921  197

S_327 3922  198

S_328 3922  198

S_329 3922  199

S_330 3922  200

S_331 3922  201

S_332 3922  202

S_333 3922  202

S_334 3923  206

II Contents to complete Solutions with program code on CDR

S_335 3931  207

S_336 3931  208

S_337 3931  208

S_338 3932  209

S_339 3932  210

S_340 3932  211

S_341 3932  212

S_342 3932  212

S_343 3933  213

S_344 3933  214

S_345 3934  216

S_346 3934  216

S_347 3935  217

S_348 3935  217

S_349 3941  218

S_350 3941-37  219

S_351 3941  220

S_352 3942  220

S_353 3942  221

S_354 3951  222

S_355 3951  222

S_356 3951  223

S_357 3952  223

S_358 3952  226

S_359 397  230

S_360 310  231

S_361 311  233

4 Problem Solutions – Basic Elements Used in Plant Control Schemes 241

S_41 41 241

S_42 421  246

S_43 422  246

S_44 423  247

S_45 424  248

S_46 424–4121  249

S_47 4261–4262–4121  252

S_48 4281  256

S_49 43 256

S_410 44–410 257

S_411 45–47  257

S_412 46–410 258

S_413 48 258

S_414 48 259

S_415 48–410 259

S_416 410  260

S_417 411  260

Contents to complete Solutions with program code on CDR III

S_418 4122 261

S_419 4122 261

S_420 4122 262

S_421 4122 263

S_422 4122 264

5 Problem Solutions – Control Strategy Design for Processing Plants 265

S_51 51 265

S_52 51 266

S_53 51 266

S_54 51 267

S_55 51 267

S_56 51 268

S_57 51 268

S_58 51 269

S_59 51 269

S_510 51 270

S_511 51 270

S_512 51 271

S_513 51 271

S_514 51 272

S_515 51 273

S_516 521  273

S_517 521  275

S_518 522  276

S_519 522  278

S_520 523  278

S_521 523  279

S_522 524  280

S_523 524  281

S_524 524  282

S_525 531  282

S_526 532–533 283

S_527 533  283

S_528 533  284

S_529 533  284

S_530 533  285

6 Problem Solutions – Estimation of Variables and Model Parameters from Plant Data 287

S_61 611  287

S_62 612  291

S_63 613  293

S_64 62 297

S_65 63 300

S_66 64 304

IV Contents to complete Solutions with program code on CDR

S_67 641–310 305

S_68 641–310 306

S_69 641  307

S_610 642  307

S_611 643  310

S_612 651  311

S_613 652  314

S_614 652  316

S_615 652  317

S_616 652  319

S_617 6531  320

S_618 6532  327

S_619 671  332

7 Problem Solutions – Advanced Control Algorithms 337

S_71 711–712 337

S_72 74 344

S_73 751  351

S_74 752  356

S_75 761  360

S_76 762  364

S_77 764  368

S_78 765  377

S_79 765–641 383

S_710 7811  383

S_711 77–782  390

S_712 782  391

S_713 782  392

S_714 782  393

S_715 782  394

S_716 782–3951  395

S_717 782–3951  396

S_718 782  397

S_719 782–3951  398

S_720 782  399

S_721 7821  399

S_722 7821  401

S_723 7835–7834 412

S_724 7132 425

S_725 7143 432

8 Problem Solutions – Stability and Quality of Control 437

S_81 821  437

S_82 8213  439

S_83 8215  439

S_84 8215  440

Contents to complete Solutions with program code on CDR V

S_85 8215  442

S_86 8215  443

S_87 8215  444

S_88 8215  445

S_89 83 446

S_810 84 447

S_811 85 452

S_812 85 457

S_813 85 458

S_814 863–864 458

S_815 864  459

S_816 865  459

S_817 865  460

S_818 87 461

S_819 88 462

9 Problem Solutions – Optimisation 471

S_91 765-783-92  471

S_92 765-783-92  471

S_93 765-783-92  472

S_94 765-783-92  473

S_95 93 474

S_96 94 480

S_97 952  484

S_98 953-9532  490

S_99 97 497

S_910 982  505

S_911 910  515

VI Contents to complete Solutions with program code on CDR

Michael Mulholland has been Professor Emeritus of the University of KwaZulu-Natal (South Africa) since 2012. In 1977, he started his career as senior technical officer at AECI, an explosives and specialty chemicals group located in South Africa. In 1982 he became lecturer and later Professor at the University of KwaZulu-Natal, a position he held until his retirement. During his time at the university he was the author of several consulting reports and manuals for the chemical and petroleum industry. He is a member of the South African Institution of Chemical Engineers, the Institution of Chemical Engineers (United Kingdom) and a Chartered Engineer (United Kingdom). Having worked in industry and with over 30 years of teaching experience in process control, Mulholland knows exactly what a graduate process engineer needs to know to work effectively in industry.

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