Closing the loop of model predictive force control in milling with Ensemble Kalman Filtering: = Schließen des Regelkreises einer modellprädiktiven Kraftregelung beim Fräsen mit einem Ensemble Kalman Filter
Saved in:
| Main Author: | |
|---|---|
| Format: | Thesis Book |
| Language: | English |
| Published: |
Aachen
Apprimus Verlag
2022
|
| Edition: | 1. Auflage |
| Series: | Ergebnisse aus der Produktionstechnik
Band 13/2022 |
| Subjects: | |
| Online Access: | kostenfrei Inhaltsverzeichnis |
| Physical Description: | xvii, 197 Seiten Illustrationen, Diagramme 21 cm x 14.8 cm, 329 g |
| ISBN: | 9783985550579 3985550573 |
| DOI: | 10.18154/RWTH-2022-03843 |
Staff View
MARC
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| 020 | |a 9783985550579 |c : EUR 39.00 (DE), EUR 40.10 (AT) |9 978-3-98555-057-9 | ||
| 020 | |a 3985550573 |9 3-98555-057-3 | ||
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| 084 | |a ZM 8323 |0 (DE-625)160937: |2 rvk | ||
| 084 | |8 1\p |a 620 |2 23sdnb | ||
| 100 | 1 | |a Schwenzer, Max |e Verfasser |0 (DE-588)1256182893 |4 aut | |
| 245 | 1 | 0 | |a Closing the loop of model predictive force control in milling with Ensemble Kalman Filtering |b = Schließen des Regelkreises einer modellprädiktiven Kraftregelung beim Fräsen mit einem Ensemble Kalman Filter |c Max Schwenzer |
| 246 | 1 | 1 | |a Schließen des Regelkreises einer modellprädiktiven Kraftregelung beim Fräsen mit einem Ensemble Kalman Filter |
| 250 | |a 1. Auflage | ||
| 264 | 1 | |a Aachen |b Apprimus Verlag |c 2022 | |
| 300 | |a xvii, 197 Seiten |b Illustrationen, Diagramme |c 21 cm x 14.8 cm, 329 g | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 490 | 1 | |a Ergebnisse aus der Produktionstechnik |v Band 13/2022 | |
| 490 | 0 | |a Technologie der Fertigungsverfahren | |
| 502 | |b Dissertation |c Rheinisch-Westfälische Technische Hochschule Aachen |d 2021 | ||
| 650 | 0 | 7 | |a Schnittkraft |0 (DE-588)4125462-4 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Kalman-Filter |0 (DE-588)4130759-8 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Prozessregelung |0 (DE-588)4222919-4 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Modellprädiktive Regelung |0 (DE-588)1135937567 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Fräsen |0 (DE-588)4018037-2 |2 gnd |9 rswk-swf |
| 653 | |a Regelungstechnik | ||
| 653 | |a Hochleistungszerspanung | ||
| 653 | |a Zerspantechnologie | ||
| 655 | 7 | |0 (DE-588)4113937-9 |a Hochschulschrift |2 gnd-content | |
| 689 | 0 | 0 | |a Fräsen |0 (DE-588)4018037-2 |D s |
| 689 | 0 | 1 | |a Schnittkraft |0 (DE-588)4125462-4 |D s |
| 689 | 0 | 2 | |a Prozessregelung |0 (DE-588)4222919-4 |D s |
| 689 | 0 | 3 | |a Modellprädiktive Regelung |0 (DE-588)1135937567 |D s |
| 689 | 0 | 4 | |a Kalman-Filter |0 (DE-588)4130759-8 |D s |
| 689 | 0 | |5 DE-604 | |
| 710 | 2 | |a Apprimus Verlag |0 (DE-588)1068101474 |4 pbl | |
| 776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe, PDF |o https://doi.org/10.18154/RWTH-2022-03843 |
| 830 | 0 | |a Ergebnisse aus der Produktionstechnik |v Band 13/2022 |w (DE-604)BV023307578 |9 2022,13 | |
| 856 | 4 | 1 | |u https://doi.org/10.18154/RWTH-2022-03843 |x Resolving-System |z kostenfrei |3 Volltext |
| 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=033617667&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |3 Inhaltsverzeichnis |
| 912 | |a ebook | ||
| 999 | |a oai:aleph.bib-bvb.de:BVB01-033617667 | ||
| 883 | 1 | |8 1\p |a vlb |d 20220412 |q DE-101 |u https://d-nb.info/provenance/plan#vlb | |
Record in the Search Index
| _version_ | 1804184024061575168 |
|---|---|
| adam_text | CONTENTS
CONTENTS
I
LIST
OF
FIGURES
III
LIST
OF
TABLES
VIII
LISTS
OF
SYMBOLS
AND
ACRONYMS
XI
LIST
OF
UPPERCASE
CHARACTERS
...............................................................
XI
LIST
OF
LOWERCASE
CHARACTERS
..................................................................
XIII
LIST
OF
GREEK
CHARACTERS
.........................................................................
XV
LIST
OF
ACRONYMS
.......................................................................................
XVI
1
INTRODUCTION
1
2
STATE
OF
THE
ART
3
2.1
FORCE
CONTROL
IN
MILLING
...............................................................
3
2.1.1
A
PRIORI
PROCESS
OPTIMIZATION:
FEEDRATE
SCHEDULING
...
6
2.1.2
TIME-INVARIANT
CONTROL
......................................................
7
2.1.3
TIME-VARIANT
CONTROL:
ADAPTIVE
CONTROLLERS
.....................
9
2.1.4
SIMULATION-ENHANCED
CONTROL
..............................................
11
2.1.5
TIME-VARIANT
CONTROL:
MODEL-BASED
PREDICTIVE
CONTROL
.
.
12
2.2
PROCESS
MODEL
IDENTIFICATION
..........................................................
15
2.2.1
FORCE
MODEL:
SHEAR-BASED
MODELS
.....................................
16
2.2.2
FORCE
MODEL:
MECHANISTIC
MODELS
.....................................
17
2.2.3
CUTTING
WITH
A
DEFINED
EDGE:
UNDEFORMED
CHIP
PARAMETERS
22
2.2.4
CHIP
SIZE
EFFECT
...................................................................
24
2.2.5
IDENTIFICATION
METHODS
FOR
MECHANISTIC
FORCE
MODELS
...
25
2.2.6
RADIAL
DEVIATION
MODEL
.......................................................
29
2.2.7
IDENTIFICATION
METHODS
FOR
RADIAL
DEVIATION
MODELS
....
31
2.3
SUMMARY
AND
FINDINGS
ON
THE
STATE
OF
THE
ART
...............................
32
3
OBJECTIVES
AND
TASKS
35
4
INSTANTANEOUS
PROCESS
MODEL
IDENTIFICATION
IN
MILLING
39
4.1
ON
MODELING
THE
PROCESS
FORCE
IN
MILLING
........................................
40
4.2
ENSEMBLE
K
ALMAN
FILTERING
FOR
FORCE
MODEL
IDENTIFICATION
....
43
4.2.1
EXCURSION:
THE
ENSEMBLE
K
ALMAN
FILTER
............................
43
4.2.2
CONSIDERATIONS
ON
ENKF
FOR
IDENTIFYING
A
PROCESS
MODEL
IN
MILLING
...............................................................................47
II
CONTENTS
4.3
ON
THE
IDENTIFICATION
OF
A
MECHANISTIC
FORCE
MODEL
.........................
51
4.3.1
SETUP
FOR
THE
SIMULATION-BASED
ANALYSIS
............................
51
4.3.2
COMPARATIVE
STUDY
ON
IDENTIFICATION
METHODS
FOR
THE
KIENZLE-MODEL
...................................................................
53
4.3.3
ANALYZING
THE
CONVERGENCE
OF
THE
COEFFICIENTS
...............
56
4.4
ON
THE
IDENTIFICATION
OF
A
RADIAL
DEVIATION
MODEL
............................
59
4.4.1
IDENTIFYING
THE
RADIAL
OFFSET
IN
POLAR
COORDINATES
............
60
4.4.2
IDENTIFYING
THE
RADIAL
OFFSET
IN
CARTESIAN
COORDINATES
.
.
61
4.5
ANALYZING
A
JOINT
IDENTIFICATION
OF
FORCE
AND
RADIAL
DEVIATION
MODEL
63
4.6
SUMMARY
AND
FINDINGS
ON
METHODS
FOR
INSTANTANEOUS
PROCESS
MODEL
IDENTIFICATION
.........................................................................
67
5
APPLIED
MODEL
IDENTIFICATION
WITH
ENKF
69
5.1
IDENTIFICATION
UNDER
COORDINATE
TRANSFORMATION
...............................
69
5.1.1
IDENTIFICATION
FROM
SIGNALS
IN
DIFFERENT
COORDINATE
SYSTEMS
69
5.1.2
FUSING
SIGNALS
OF
DIFFERENT
COORDINATE
SYSTEMS
...............
73
5.2
IDENTIFICATION
ON
REAL
MEASUREMENTS
..............................................
76
5.2.1
MEASURING
THE
POSITION
OF
EACH
INDIVIDUAL
TOOTH
............
76
5.2.2
EXPERIMENTAL
SETUP:
WORKPIECE,
ENGAGEMENT
CONDITIONS,
AND
MEASUREMENTS
.............................................................77
5.2.3
ANALYZING
THE
ENKF
ON
REAL
MEASUREMENTS
......................
81
5.2.4
EXTENDING
THE
ENKF
TO
TIME-VARIANT
IDENTIFICATIONS
....
84
5.3
SUMMARY
AND
FINDINGS
ON
ENKF
WITH
REAL
MEASUREMENTS
....
89
6
MODEL
PREDICTIVE
FORCE
CONTROL
IN
MILLING
91
6.1
DEVELOPMENT
OF
A
CONTINUOUS
REFERENCE
GENERATOR
.........................
93
6.1.1
DETERMINING
THE
MAXIMUM
UNDEFORMED
CHIP
THICKNESS
PER
REVOLUTION
......................................................................
94
6.1.2
SOLVING
THE
INVERSE
PROCESS
MODEL
.....................................
95
6.2
CONTROLLER
DESIGN
AND
TUNING
..........................................................
98
6.2.1
IDENTIFYING
A
MACHINE
TOOL
MODEL
......................................
100
6.2.2
CHOOSING
CONTROL
HORIZONS
................................................
102
6.2.3
REQUIRED
RESOLUTION
OF
THE
ENGAGEMENT
SIMULATION
.
.
.103
6.3
DEVELOPING
A
ROBUST
MEASUREMENT
OF
THE
FEED
VELOCITY
.............
105
6.4
THE
SETUP
OF
THE
MODEL
PREDICTIVE
FORCE
CONTROLLER
.......................
107
6.4.1
CONTROL
SYSTEM
COMMUNICATION
.........................................
107
6.4.2
SYNCHRONICITY,
LATENCY,
AND
DELAY
......................................
109
6.4.3
REAL-TIME
IMPLEMENTATION
...................................................
110
6.5
SUMMARY
AND
FINDINGS
ON
THE
MODEL
PREDICTIVE
FORCE
CONTROLLER
.113
CONTENTS
III
7
VALIDATION
OF
FORCE
CONTROL
IN
MILLING
115
7.1
MPFC
WITH
AN
ENKF-BASED
IDENTIFICATION
...................................
115
7.1.1
ENKF
WITH
UNIFORM
INITIAL
DISTRIBUTION
................................
115
7.1.2
ENKF
WITH
UNIFORM
INITIAL
DISTRIBUTION
AND
INFLATION
.
.
.
.119
7.1.3
ENKF
WITH
GAUSSIAN
INITIAL
DISTRIBUTION
.............................
123
7.2
OPEN-LOOP
FORCE
CONTROL,
CLOSED-LOOP
VELOCITY
CONTROL
...............
125
7.3
MPFC
WITH
DISCRETE
IDENTIFICATION
..................................................
127
7.4
SUMMARY
AND
FINDINGS
OF
ENKF-BASED
MPFC
.............................
129
8
CONCLUSION
131
8.1
SUMMARY
AND
DISCUSSION
..............................................................
131
8.2
OUTLOOK
.........................................................................................
133
FAZIT
135
APPENDIX
139
A.1
NOTES
ON
THE
ENSEMBLE
K
ALMAN
FILTER
..........................................
139
A.1.1
MATRIX
DIMENSIONS
OF
THE
ENKF
.........................................
139
A.1
.2
ALTERNATIVE
FORMULATION
OF
THE
ENKF
...................................
140
A.2
ALGORITHMS
.......................................................................................
141
A.2.1
RECURSIVE
LEAST
SQUARES
(RLS)
.........................................
141
A.2.2
B
OUNDED
OPTIMIZATION
BY
QUADRATIC
APPROXIMA
TION
(BOBYQA)
.....................................................
141
A.2.3
K
ALMAN
FILTER
(KF)
..............................................................
142
A.3
SUPPLEMENT
....................................................................................
144
A.3.1
COMPLEMENTARY
FIGURES
TO
CHAPTER
4
................................
144
A.3.
2
COMPLEMENTARY
FIGURES
TO
CHAPTER
5
................................
152
A.3.3
COMPLEMENTARY
FIGURES
TO
CHAPTER
6
................................
158
A.3.4
COMPLEMENTARY
FIGURES
TO
CHAPTER
7
................................
158
BIBLIOGRAPHY
171
|
| adam_txt |
CONTENTS
CONTENTS
I
LIST
OF
FIGURES
III
LIST
OF
TABLES
VIII
LISTS
OF
SYMBOLS
AND
ACRONYMS
XI
LIST
OF
UPPERCASE
CHARACTERS
.
XI
LIST
OF
LOWERCASE
CHARACTERS
.
XIII
LIST
OF
GREEK
CHARACTERS
.
XV
LIST
OF
ACRONYMS
.
XVI
1
INTRODUCTION
1
2
STATE
OF
THE
ART
3
2.1
FORCE
CONTROL
IN
MILLING
.
3
2.1.1
A
PRIORI
PROCESS
OPTIMIZATION:
FEEDRATE
SCHEDULING
.
6
2.1.2
TIME-INVARIANT
CONTROL
.
7
2.1.3
TIME-VARIANT
CONTROL:
ADAPTIVE
CONTROLLERS
.
9
2.1.4
SIMULATION-ENHANCED
CONTROL
.
11
2.1.5
TIME-VARIANT
CONTROL:
MODEL-BASED
PREDICTIVE
CONTROL
.
.
12
2.2
PROCESS
MODEL
IDENTIFICATION
.
15
2.2.1
FORCE
MODEL:
SHEAR-BASED
MODELS
.
16
2.2.2
FORCE
MODEL:
MECHANISTIC
MODELS
.
17
2.2.3
CUTTING
WITH
A
DEFINED
EDGE:
UNDEFORMED
CHIP
PARAMETERS
22
2.2.4
CHIP
SIZE
EFFECT
.
24
2.2.5
IDENTIFICATION
METHODS
FOR
MECHANISTIC
FORCE
MODELS
.
25
2.2.6
RADIAL
DEVIATION
MODEL
.
29
2.2.7
IDENTIFICATION
METHODS
FOR
RADIAL
DEVIATION
MODELS
.
31
2.3
SUMMARY
AND
FINDINGS
ON
THE
STATE
OF
THE
ART
.
32
3
OBJECTIVES
AND
TASKS
35
4
INSTANTANEOUS
PROCESS
MODEL
IDENTIFICATION
IN
MILLING
39
4.1
ON
MODELING
THE
PROCESS
FORCE
IN
MILLING
.
40
4.2
ENSEMBLE
K
ALMAN
FILTERING
FOR
FORCE
MODEL
IDENTIFICATION
.
43
4.2.1
EXCURSION:
THE
ENSEMBLE
K
ALMAN
FILTER
.
43
4.2.2
CONSIDERATIONS
ON
ENKF
FOR
IDENTIFYING
A
PROCESS
MODEL
IN
MILLING
.47
II
CONTENTS
4.3
ON
THE
IDENTIFICATION
OF
A
MECHANISTIC
FORCE
MODEL
.
51
4.3.1
SETUP
FOR
THE
SIMULATION-BASED
ANALYSIS
.
51
4.3.2
COMPARATIVE
STUDY
ON
IDENTIFICATION
METHODS
FOR
THE
KIENZLE-MODEL
.
53
4.3.3
ANALYZING
THE
CONVERGENCE
OF
THE
COEFFICIENTS
.
56
4.4
ON
THE
IDENTIFICATION
OF
A
RADIAL
DEVIATION
MODEL
.
59
4.4.1
IDENTIFYING
THE
RADIAL
OFFSET
IN
POLAR
COORDINATES
.
60
4.4.2
IDENTIFYING
THE
RADIAL
OFFSET
IN
CARTESIAN
COORDINATES
.
.
61
4.5
ANALYZING
A
JOINT
IDENTIFICATION
OF
FORCE
AND
RADIAL
DEVIATION
MODEL
63
4.6
SUMMARY
AND
FINDINGS
ON
METHODS
FOR
INSTANTANEOUS
PROCESS
MODEL
IDENTIFICATION
.
67
5
APPLIED
MODEL
IDENTIFICATION
WITH
ENKF
69
5.1
IDENTIFICATION
UNDER
COORDINATE
TRANSFORMATION
.
69
5.1.1
IDENTIFICATION
FROM
SIGNALS
IN
DIFFERENT
COORDINATE
SYSTEMS
69
5.1.2
FUSING
SIGNALS
OF
DIFFERENT
COORDINATE
SYSTEMS
.
73
5.2
IDENTIFICATION
ON
REAL
MEASUREMENTS
.
76
5.2.1
MEASURING
THE
POSITION
OF
EACH
INDIVIDUAL
TOOTH
.
76
5.2.2
EXPERIMENTAL
SETUP:
WORKPIECE,
ENGAGEMENT
CONDITIONS,
AND
MEASUREMENTS
.77
5.2.3
ANALYZING
THE
ENKF
ON
REAL
MEASUREMENTS
.
81
5.2.4
EXTENDING
THE
ENKF
TO
TIME-VARIANT
IDENTIFICATIONS
.
84
5.3
SUMMARY
AND
FINDINGS
ON
ENKF
WITH
REAL
MEASUREMENTS
.
89
6
MODEL
PREDICTIVE
FORCE
CONTROL
IN
MILLING
91
6.1
DEVELOPMENT
OF
A
CONTINUOUS
REFERENCE
GENERATOR
.
93
6.1.1
DETERMINING
THE
MAXIMUM
UNDEFORMED
CHIP
THICKNESS
PER
REVOLUTION
.
94
6.1.2
SOLVING
THE
INVERSE
PROCESS
MODEL
.
95
6.2
CONTROLLER
DESIGN
AND
TUNING
.
98
6.2.1
IDENTIFYING
A
MACHINE
TOOL
MODEL
.
100
6.2.2
CHOOSING
CONTROL
HORIZONS
.
102
6.2.3
REQUIRED
RESOLUTION
OF
THE
ENGAGEMENT
SIMULATION
.
.
.103
6.3
DEVELOPING
A
ROBUST
MEASUREMENT
OF
THE
FEED
VELOCITY
.
105
6.4
THE
SETUP
OF
THE
MODEL
PREDICTIVE
FORCE
CONTROLLER
.
107
6.4.1
CONTROL
SYSTEM
COMMUNICATION
.
107
6.4.2
SYNCHRONICITY,
LATENCY,
AND
DELAY
.
109
6.4.3
REAL-TIME
IMPLEMENTATION
.
110
6.5
SUMMARY
AND
FINDINGS
ON
THE
MODEL
PREDICTIVE
FORCE
CONTROLLER
.113
CONTENTS
III
7
VALIDATION
OF
FORCE
CONTROL
IN
MILLING
115
7.1
MPFC
WITH
AN
ENKF-BASED
IDENTIFICATION
.
115
7.1.1
ENKF
WITH
UNIFORM
INITIAL
DISTRIBUTION
.
115
7.1.2
ENKF
WITH
UNIFORM
INITIAL
DISTRIBUTION
AND
INFLATION
.
.
.
.119
7.1.3
ENKF
WITH
GAUSSIAN
INITIAL
DISTRIBUTION
.
123
7.2
OPEN-LOOP
FORCE
CONTROL,
CLOSED-LOOP
VELOCITY
CONTROL
.
125
7.3
MPFC
WITH
DISCRETE
IDENTIFICATION
.
127
7.4
SUMMARY
AND
FINDINGS
OF
ENKF-BASED
MPFC
.
129
8
CONCLUSION
131
8.1
SUMMARY
AND
DISCUSSION
.
131
8.2
OUTLOOK
.
133
FAZIT
135
APPENDIX
139
A.1
NOTES
ON
THE
ENSEMBLE
K
ALMAN
FILTER
.
139
A.1.1
MATRIX
DIMENSIONS
OF
THE
ENKF
.
139
A.1
.2
ALTERNATIVE
FORMULATION
OF
THE
ENKF
.
140
A.2
ALGORITHMS
.
141
A.2.1
RECURSIVE
LEAST
SQUARES
(RLS)
.
141
A.2.2
B
OUNDED
OPTIMIZATION
BY
QUADRATIC
APPROXIMA
TION
(BOBYQA)
.
141
A.2.3
K
ALMAN
FILTER
(KF)
.
142
A.3
SUPPLEMENT
.
144
A.3.1
COMPLEMENTARY
FIGURES
TO
CHAPTER
4
.
144
A.3.
2
COMPLEMENTARY
FIGURES
TO
CHAPTER
5
.
152
A.3.3
COMPLEMENTARY
FIGURES
TO
CHAPTER
6
.
158
A.3.4
COMPLEMENTARY
FIGURES
TO
CHAPTER
7
.
158
BIBLIOGRAPHY
171 |
| any_adam_object | 1 |
| any_adam_object_boolean | 1 |
| author | Schwenzer, Max |
| author_GND | (DE-588)1256182893 |
| author_facet | Schwenzer, Max |
| author_role | aut |
| author_sort | Schwenzer, Max |
| author_variant | m s ms |
| building | Verbundindex |
| bvnumber | BV048237075 |
| classification_rvk | ZM 8323 |
| collection | ebook |
| ctrlnum | (OCoLC)1313608665 (DE-599)DNB1255217200 |
| discipline | Werkstoffwissenschaften / Fertigungstechnik |
| discipline_str_mv | Werkstoffwissenschaften / Fertigungstechnik |
| doi_str_mv | 10.18154/RWTH-2022-03843 |
| edition | 1. Auflage |
| format | Thesis Book |
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| genre | (DE-588)4113937-9 Hochschulschrift gnd-content |
| genre_facet | Hochschulschrift |
| id | DE-604.BV048237075 |
| illustrated | Illustrated |
| index_date | 2024-07-03T19:52:54Z |
| indexdate | 2024-07-10T09:32:45Z |
| institution | BVB |
| institution_GND | (DE-588)1068101474 |
| isbn | 9783985550579 3985550573 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-033617667 |
| oclc_num | 1313608665 |
| open_access_boolean | 1 |
| owner | DE-29T DE-83 |
| owner_facet | DE-29T DE-83 |
| physical | xvii, 197 Seiten Illustrationen, Diagramme 21 cm x 14.8 cm, 329 g |
| psigel | ebook |
| publishDate | 2022 |
| publishDateSearch | 2022 |
| publishDateSort | 2022 |
| publisher | Apprimus Verlag |
| record_format | marc |
| series | Ergebnisse aus der Produktionstechnik |
| series2 | Ergebnisse aus der Produktionstechnik Technologie der Fertigungsverfahren |
| spelling | Schwenzer, Max Verfasser (DE-588)1256182893 aut Closing the loop of model predictive force control in milling with Ensemble Kalman Filtering = Schließen des Regelkreises einer modellprädiktiven Kraftregelung beim Fräsen mit einem Ensemble Kalman Filter Max Schwenzer Schließen des Regelkreises einer modellprädiktiven Kraftregelung beim Fräsen mit einem Ensemble Kalman Filter 1. Auflage Aachen Apprimus Verlag 2022 xvii, 197 Seiten Illustrationen, Diagramme 21 cm x 14.8 cm, 329 g txt rdacontent n rdamedia nc rdacarrier Ergebnisse aus der Produktionstechnik Band 13/2022 Technologie der Fertigungsverfahren Dissertation Rheinisch-Westfälische Technische Hochschule Aachen 2021 Schnittkraft (DE-588)4125462-4 gnd rswk-swf Kalman-Filter (DE-588)4130759-8 gnd rswk-swf Prozessregelung (DE-588)4222919-4 gnd rswk-swf Modellprädiktive Regelung (DE-588)1135937567 gnd rswk-swf Fräsen (DE-588)4018037-2 gnd rswk-swf Regelungstechnik Hochleistungszerspanung Zerspantechnologie (DE-588)4113937-9 Hochschulschrift gnd-content Fräsen (DE-588)4018037-2 s Schnittkraft (DE-588)4125462-4 s Prozessregelung (DE-588)4222919-4 s Modellprädiktive Regelung (DE-588)1135937567 s Kalman-Filter (DE-588)4130759-8 s DE-604 Apprimus Verlag (DE-588)1068101474 pbl Erscheint auch als Online-Ausgabe, PDF https://doi.org/10.18154/RWTH-2022-03843 Ergebnisse aus der Produktionstechnik Band 13/2022 (DE-604)BV023307578 2022,13 https://doi.org/10.18154/RWTH-2022-03843 Resolving-System kostenfrei Volltext DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=033617667&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis 1\p vlb 20220412 DE-101 https://d-nb.info/provenance/plan#vlb |
| spellingShingle | Schwenzer, Max Closing the loop of model predictive force control in milling with Ensemble Kalman Filtering = Schließen des Regelkreises einer modellprädiktiven Kraftregelung beim Fräsen mit einem Ensemble Kalman Filter Ergebnisse aus der Produktionstechnik Schnittkraft (DE-588)4125462-4 gnd Kalman-Filter (DE-588)4130759-8 gnd Prozessregelung (DE-588)4222919-4 gnd Modellprädiktive Regelung (DE-588)1135937567 gnd Fräsen (DE-588)4018037-2 gnd |
| subject_GND | (DE-588)4125462-4 (DE-588)4130759-8 (DE-588)4222919-4 (DE-588)1135937567 (DE-588)4018037-2 (DE-588)4113937-9 |
| title | Closing the loop of model predictive force control in milling with Ensemble Kalman Filtering = Schließen des Regelkreises einer modellprädiktiven Kraftregelung beim Fräsen mit einem Ensemble Kalman Filter |
| title_alt | Schließen des Regelkreises einer modellprädiktiven Kraftregelung beim Fräsen mit einem Ensemble Kalman Filter |
| title_auth | Closing the loop of model predictive force control in milling with Ensemble Kalman Filtering = Schließen des Regelkreises einer modellprädiktiven Kraftregelung beim Fräsen mit einem Ensemble Kalman Filter |
| title_exact_search | Closing the loop of model predictive force control in milling with Ensemble Kalman Filtering = Schließen des Regelkreises einer modellprädiktiven Kraftregelung beim Fräsen mit einem Ensemble Kalman Filter |
| title_exact_search_txtP | Closing the loop of model predictive force control in milling with Ensemble Kalman Filtering = Schließen des Regelkreises einer modellprädiktiven Kraftregelung beim Fräsen mit einem Ensemble Kalman Filter |
| title_full | Closing the loop of model predictive force control in milling with Ensemble Kalman Filtering = Schließen des Regelkreises einer modellprädiktiven Kraftregelung beim Fräsen mit einem Ensemble Kalman Filter Max Schwenzer |
| title_fullStr | Closing the loop of model predictive force control in milling with Ensemble Kalman Filtering = Schließen des Regelkreises einer modellprädiktiven Kraftregelung beim Fräsen mit einem Ensemble Kalman Filter Max Schwenzer |
| title_full_unstemmed | Closing the loop of model predictive force control in milling with Ensemble Kalman Filtering = Schließen des Regelkreises einer modellprädiktiven Kraftregelung beim Fräsen mit einem Ensemble Kalman Filter Max Schwenzer |
| title_short | Closing the loop of model predictive force control in milling with Ensemble Kalman Filtering |
| title_sort | closing the loop of model predictive force control in milling with ensemble kalman filtering schließen des regelkreises einer modellpradiktiven kraftregelung beim frasen mit einem ensemble kalman filter |
| title_sub | = Schließen des Regelkreises einer modellprädiktiven Kraftregelung beim Fräsen mit einem Ensemble Kalman Filter |
| topic | Schnittkraft (DE-588)4125462-4 gnd Kalman-Filter (DE-588)4130759-8 gnd Prozessregelung (DE-588)4222919-4 gnd Modellprädiktive Regelung (DE-588)1135937567 gnd Fräsen (DE-588)4018037-2 gnd |
| topic_facet | Schnittkraft Kalman-Filter Prozessregelung Modellprädiktive Regelung Fräsen Hochschulschrift |
| url | https://doi.org/10.18154/RWTH-2022-03843 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=033617667&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| volume_link | (DE-604)BV023307578 |
| work_keys_str_mv | AT schwenzermax closingtheloopofmodelpredictiveforcecontrolinmillingwithensemblekalmanfilteringschließendesregelkreiseseinermodellpradiktivenkraftregelungbeimfrasenmiteinemensemblekalmanfilter AT apprimusverlag closingtheloopofmodelpredictiveforcecontrolinmillingwithensemblekalmanfilteringschließendesregelkreiseseinermodellpradiktivenkraftregelungbeimfrasenmiteinemensemblekalmanfilter AT schwenzermax schließendesregelkreiseseinermodellpradiktivenkraftregelungbeimfrasenmiteinemensemblekalmanfilter AT apprimusverlag schließendesregelkreiseseinermodellpradiktivenkraftregelungbeimfrasenmiteinemensemblekalmanfilter |