Model predictive control in the process industry:
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | German |
| Veröffentlicht: |
London ; Berlin ; Heidelberg ; New York ; Paris ; Tokyo ; Hong K
Springer
1995
|
| Schriftenreihe: | Advances in industrial control
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | Literaturverz. S. 227 - 233 |
| Beschreibung: | XVIII, 239 S. graph. Darst. |
| ISBN: | 3540199241 |
Internformat
MARC
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| 016 | 7 | |a 943960738 |2 DE-101 | |
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| 100 | 1 | |a Camacho, E. F. |d 1950- |e Verfasser |0 (DE-588)118087983 |4 aut | |
| 245 | 1 | 0 | |a Model predictive control in the process industry |c E. F. Camacho and C. Bordons |
| 264 | 1 | |a London ; Berlin ; Heidelberg ; New York ; Paris ; Tokyo ; Hong K |b Springer |c 1995 | |
| 300 | |a XVIII, 239 S. |b graph. Darst. | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 490 | 0 | |a Advances in industrial control | |
| 500 | |a Literaturverz. S. 227 - 233 | ||
| 650 | 4 | |a Predictive control | |
| 650 | 4 | |a Process control | |
| 650 | 0 | 7 | |a Reglerentwurf |0 (DE-588)4177447-4 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Prädiktive Regelung |0 (DE-588)4271836-3 |2 gnd |9 rswk-swf |
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| 689 | 0 | 1 | |a Reglerentwurf |0 (DE-588)4177447-4 |D s |
| 689 | 0 | |5 DE-604 | |
| 700 | 1 | |a Bordons, Carlos |d 1962- |e Verfasser |0 (DE-588)120071290 |4 aut | |
| 856 | 4 | 2 | |m DNB Datenaustausch |q application/pdf |u http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=006746000&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |3 Inhaltsverzeichnis |
| 943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-006746000 | |
Datensatz im Suchindex
| _version_ | 1807682298662879232 |
|---|---|
| adam_text |
CONTENTS
1
INTRODUCTION
TO
MODEL
BASED
PREDICTIVE
CONTROL
1
1.1
MPC
STRATEGY
.
3
1.2
HISTORICAL
PERSPECTIVE
.
5
1.3
OUTLINE
OF
THE
CHAPTERS
.
7
2
MODEL
BASED
PREDICTIVE
CONTROLLERS
9
2.1
MPC
ELEMENTS
.
9
2.1.1
PREDICTION
MODEL
.
9
2.1.2
OBJECTIVE
FUNCTION
.
13
2.1.3
OBTAINING
THE
CONTROL
LAW
.
16
2.2
REVIEW
OF
SOME
MPC
ALGORITHMS
.
17
2.3
MPC
BASED
ON
THE
IMPULSE
RESPONSE
.
20
2.3.1
PROCESS
MODEL
AND
PREDICTION
.
20
2.3.2
CONTROL
LAW
.
21
2.4
GENERALIZED
PREDICTIVE
CONTROL
.
22
2.4.1
FORMULATION
OF
GENERALIZED
PREDICTIVE
CONTROL
.
22
2.4.2
THE
COLOURED
NOISE
CASE
.
26
2.4.3
AN
EXAMPLE
.
27
2.5
CONSTRAINED
RECEDING-HORIZON
PREDICTIVE
CONTROL
.
29
2.5.1
COMPUTATION
OF
THE
CONTROL
LAW
.
30
2.5.2
PROPERTIES
.
32
2.6
STABLE
GPC
.
33
2.6.1
FORMULATION
OF
THE
CONTROL
LAW
.
34
2.7
FILTER
POLYNOMIALS
FOR
IMPROVING
ROBUSTNESS
.
36
2.7.1
SELECTION
OF
THE
T
POLYNOMIAL
.
36
2.7.2
RELATION
WITH
OTHER
FORMULATIONS
.
37
XV
I
CONTENTS
3
SIMPLE
IMPLEMENTATION
OF
GPC
FOR
INDUSTRIAL
PROCESSES
39
3.1
PLANT
MODEL
.
40
3.1.1
PLANT
IDENTIFICATION:
THE
REACTION
CURVE
METHOD
.
40
3.2
THE
DEAD
TIME
MULTIPLE
OF
SAMPLING
TIME
CASE
.
42
3.2.1
DISCRETE
PLANT
MODEL
.
42
3.2.2
PROBLEM
FORMULATION
.
43
3.2.3
COMPUTATION
OF
THE
CONTROLLER
PARAMETERS
.
45
3.2.4
ROLE
OF
THE
CONTROL-WEIGHTING
FACTOR
.
47
3.2.5
IMPLEMENTATION
ALGORITHM
.
48
3.2.6
AN
IMPLEMENTATION
EXAMPLE
.
48
3.3
THE
DEAD
TIME
NON
MULTIPLE
OF
THE
SAMPLING
TIME
CASE
.
50
3.3.1
DISCRETE
MODEL
OF
THE
PLANT
.
50
3.3.2
CONTROLLER
PARAMETERS
.
53
3.3.3
EXAMPLE
.
56
3.4
INTEGRATING
PROCESSES
.
57
3.4.1
DERIVATION
OF
THE
CONTROL
LAW
.
59
3.4.2
CONTROLLER
PARAMETERS
.
60
3.4.3
EXAMPLE
.
62
3.5
CONSIDERATION
OF
RAMP
SETPOINTS
.
63
3.5.1
EXAMPLE
.
65
4
ROBUSTNESS
ANALYSIS
IN
PRECOMPUTED
GPC
69
4.1
STRUCTURED
UNCERTAINTIES
.
70
4.1.1
PARAMETRIC
UNCERTAINTIES
.
70
4.1.2
UNMODELLED
DYNAMICS
.
73
4.1.3
BOTH
TYPES
OF
UNCERTAINTIES
.
75
4.2
STABILITY
LIMITS
WITH
STRUCTURED
UNCERTAINTIES
.
75
4.2.1
INFLUENCE
OF
PARAMETRIC
UNCERTAINTIES
.
77
4.2.2
INFLUENCE
OF
UNMODELLED
DYNAMICS
.
81
4.2.3
COMBINED
EFFECT
.
85
4.2.4
INFLUENCE
OF
THE
CONTROL
EFFORT
.
87
4.3
UNSTRUCTURED
UNCERTAINTIES
.
87
4.3.1
PROCESS
DESCRIPTION
.
87
4.3.2
MEASUREMENT
OF
THE
ROBUSTNESS
OF
THE
GPC
.
89
4.3.3
ROBUSTNESS
LIMITS
.
92
4.4
RELATIONSHIP
BETWEEN
THE
TWO
TYPES
OF
UNCERTAINTIES
.
97
4.4.1
UNCERTAINTY
IN
THE
GAIN
.
99
4.4.2
UNCERTAINTY
IN
THE
DELAY
.
101
CONTENTS
XVII
4.5
GENERAL
COMMENTS
.
102
5
MULTIVARIABLE
GPC
105
5.1
DERIVATION
OF
MULTIVARIABLE
GPC
.
105
5.1.1
WHITE
NOISE
CASE
.
106
5.1.2
COLOURED
NOISE
CASE
.
109
5.2
OBTAINING
A
MATRIX
FRACTION
DESCRIPTION
.
112
5.2.1
TRANSFER
MATRIX
REPRESENTATION
.
112
5.2.2
PARAMETRIC
IDENTIFICATION
.
115
5.3
STATE
SPACE
FORMULATION
.117
5.3.1
MATRIX
FRACTION
AND
STATE
SPACE
EQUIVALENCES
.
118
5.4
DEAD
TIME
PROBLEMS
.
121
5.5
EXAMPLE:
DISTILLATION
COLUMN
.
124
6
CONSTRAINED
MPC
129
6.1
CONSTRAINTS
AND
GPC
.
129
6.1.1
ILLUSTRATIVE
EXAMPLES
.
134
6.2
REVISION
OF
MAIN
QUADRATIC
PROGRAMMING
ALGORITHMS
.
136
6.2.1
THE
ACTIVE
SET
METHODS
.
138
6.2.2
FEASIBLE
DIRECTIONS
METHODS
.
140
6.2.3
INITIAL
FEASIBLE
POINT
.
142
6.2.4
PIVOTING
METHODS
.
143
6.3
CONSTRAINTS
HANDLING
.
145
6.3.1
SLEW
RATE
CONSTRAINTS
.
146
6.3.2
AMPLITUDE
CONSTRAINTS
.147
6.3.3
OUTPUT
CONSTRAINTS
.
148
6.3.4
CONSTRAINTS
REDUCTION
.
149
6.4
1-NORM
.
150
6.5
CONSTRAINED
MPC
AND
STABILITY
.
152
7
ROBUST
MPC
155
7.1
PROCESS
MODELS
AND
UNCERTAINTIES
.
156
7.1.1
TRUNCATED
IMPULSE
RESPONSE
UNCERTAINTIES
.
157
7.1.2
MATRIX
FRACTION
DESCRIPTION
UNCERTAINTIES
.
158
7.1.3
GLOBAL
UNCERTAINTIES
.
159
7.2
OBJECTIVE
FUNCTIONS
.
161
7.2.1
QUADRATIC
NORM
.
162
7.2.2
OO
-
OO
NORM
.
163
7.2.3
1-NORM
.
165
XVIII
CONTENTS
7.3
ILLUSTRATIVE
EXAMPLES
.167
7.3.1
BOUNDS
ON
THE
OUTPUT
.167
7.3.2
UNCERTAINTIES
IN
THE
GAIN
.
167
8
APPLICATIONS
171
8.1
SOLAR
POWER
PLANT
.
171
8.1.1
CONTROL
STRATEGY
.
173
8.1.2
PLANT
RESULTS
.
176
8.2
COMPOSITION
CONTROL
IN
AN
EVAPORATOR
.
178
8.2.1
DESCRIPTION
OF
THE
PROCESS
.
178
8.2.2
OBTAINING
THE
LINEAR
MODEL
.
181
8.2.3
CONTROLLER
DESIGN
.
183
8.2.4
RESULTS
.
184
8.3
PILOT
PLANT
.
187
8.3.1
PLANT
DESCRIPTION
.187
8.3.2
PLANT
CONTROL
.
188
8.3.3
FLOW
CONTROL
.
189
8.3.4
TEMPERATURE
CONTROL
AT
THE
EXCHANGER
OUTPUT
.
191
8.3.5
TEMPERATURE
CONTROL
IN
THE
TANK
.
191
8.3.6
LEVEL
CONTROL
.
193
8.3.7
REMARKS
.
194
A
REVISION
OF
THE
SIMPLEX
METHOD
197
A.L
EQUALITY
CONSTRAINTS
.
197
A.2
FINDING
AN
INITIAL
SOLUTION
.
198
A.3
INEQUALITY
CONSTRAINTS
.
199
B
MODEL
PREDICTIVE
CONTROL
SIMULATION
PROGRAM
201
REFERENCES
227
INDEX
235 |
| any_adam_object | 1 |
| author | Camacho, E. F. 1950- Bordons, Carlos 1962- |
| author_GND | (DE-588)118087983 (DE-588)120071290 |
| author_facet | Camacho, E. F. 1950- Bordons, Carlos 1962- |
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| callnumber-sort | TJ 3217.6 |
| callnumber-subject | TJ - Mechanical Engineering and Machinery |
| classification_rvk | ZQ 6200 |
| classification_tum | MSR 718f |
| ctrlnum | (OCoLC)31814817 (DE-599)BVBBV010155242 |
| dewey-full | 629.8 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 629 - Other branches of engineering |
| dewey-raw | 629.8 |
| dewey-search | 629.8 |
| dewey-sort | 3629.8 |
| dewey-tens | 620 - Engineering and allied operations |
| discipline | Mess-/Steuerungs-/Regelungs-/Automatisierungstechnik Mess-/Steuerungs-/Regelungs-/Automatisierungstechnik / Mechatronik |
| format | Book |
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| id | DE-604.BV010155242 |
| illustrated | Illustrated |
| indexdate | 2024-08-18T00:16:18Z |
| institution | BVB |
| isbn | 3540199241 |
| language | German |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-006746000 |
| oclc_num | 31814817 |
| open_access_boolean | |
| owner | DE-M347 DE-91 DE-BY-TUM DE-634 DE-83 |
| owner_facet | DE-M347 DE-91 DE-BY-TUM DE-634 DE-83 |
| physical | XVIII, 239 S. graph. Darst. |
| publishDate | 1995 |
| publishDateSearch | 1995 |
| publishDateSort | 1995 |
| publisher | Springer |
| record_format | marc |
| series2 | Advances in industrial control |
| spelling | Camacho, E. F. 1950- Verfasser (DE-588)118087983 aut Model predictive control in the process industry E. F. Camacho and C. Bordons London ; Berlin ; Heidelberg ; New York ; Paris ; Tokyo ; Hong K Springer 1995 XVIII, 239 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Advances in industrial control Literaturverz. S. 227 - 233 Predictive control Process control Reglerentwurf (DE-588)4177447-4 gnd rswk-swf Prädiktive Regelung (DE-588)4271836-3 gnd rswk-swf Prädiktive Regelung (DE-588)4271836-3 s Reglerentwurf (DE-588)4177447-4 s DE-604 Bordons, Carlos 1962- Verfasser (DE-588)120071290 aut DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=006746000&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Camacho, E. F. 1950- Bordons, Carlos 1962- Model predictive control in the process industry Predictive control Process control Reglerentwurf (DE-588)4177447-4 gnd Prädiktive Regelung (DE-588)4271836-3 gnd |
| subject_GND | (DE-588)4177447-4 (DE-588)4271836-3 |
| title | Model predictive control in the process industry |
| title_auth | Model predictive control in the process industry |
| title_exact_search | Model predictive control in the process industry |
| title_full | Model predictive control in the process industry E. F. Camacho and C. Bordons |
| title_fullStr | Model predictive control in the process industry E. F. Camacho and C. Bordons |
| title_full_unstemmed | Model predictive control in the process industry E. F. Camacho and C. Bordons |
| title_short | Model predictive control in the process industry |
| title_sort | model predictive control in the process industry |
| topic | Predictive control Process control Reglerentwurf (DE-588)4177447-4 gnd Prädiktive Regelung (DE-588)4271836-3 gnd |
| topic_facet | Predictive control Process control Reglerentwurf Prädiktive Regelung |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=006746000&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT camachoef modelpredictivecontrolintheprocessindustry AT bordonscarlos modelpredictivecontrolintheprocessindustry |