Optimal Control of Distributed Nuclear Reactors

Front Cover
Springer Science & Business Media, Jan 31, 1990 - Mathematics - 236 pages
This book is devoted to the mathematical optimization theory and modeling techniques that recently have been applied to the problem of controlling the shape and intensity of the power density distribution in the core of large nuclear reactors. The book has been prepared with the following purposes in mind: 1. To provide, in a condensed manner, the background preparation on reactor kinetics required for a comprehensive description of the main problems encountered in designing spatial control systems for nuclear reactor cores. 2. To present the work that has already been done on this subject and provide the basic mathematical tools required for a full understand ing of the different methods proposed in the literature. 3. To stimulate further work in this challenging area by weighting the advantages and disadvantages of the existing techniques and evaluating their effectiveness and applicability. In addition to coverage of the standard topics on the subject of optimal control for distributed parametersystems, the book includes, at amathemati cal level suitable for graduate students in engineering, discussions of con ceptsoffunctional analysis, the representation theory ofgroups, and integral equations. Although these topics constitute a requisite for a full understanding of the new developments in the area of reactor modeling and control, they are seidom treated together in a single book and, when they are, their presenta tion isoften directed to the mathematician.They are thus relatively unknown to the engineering community.
 

Contents

Introduction
11
Some Mathematical Optimization Techniques
11
222 Matrices
11
23 Calculus of Variations Ref 26
11
231 The Isoperimetric Problem Ref 25
12
24 Dynamic Programming and the Principle of Optimally Ref 21
13
241 Dynamic Programming for Continuous Processes Ref 21
15
25 Pontryagins Maximum Principle Refs 22 26 and 29
17
495 Construction of Asymptotic Expansions
107
496 Practical Numerical Example
112
497 Concluding Remarks
114
410 System Tau Method Ref 415
116
4101 Calculational Method
117
4102 Comparison of Various Computational Techniques
124
4103 Practical Application of STM for Optimal Control of Nuclear Reactors
125
4104 Concluding Remarks
130

26 Minimum Norm Problems of Functional Analysis Refs 25 27 and 28
18
262 Minimum Norm Problems
20
References
24
Distributed Reactor Modeling
25
32 The Multigroup Diffusion Equations
27
321 Solution of the Diffusion Equation
29
322 The Method of Degenerate Kernels
30
323 Practical Example
33
33 The Model Expansion
37
331 The Functional Relation
42
332 Practical Example
43
34 Model Decomposition Techniques
47
341 Symmetry Reduction
48
Decoupling of the Optimality Conditions Refs 325328
60
Reduction of a Cylindrical Reactor Model Ref 329
63
37 TimeScale Separation Ref 329
67
References
68
Optimal Control of Distributed Nuclear Reactors
71
42 The Reactor Core Model
74
43 The Optimal Control Problem
76
A Fredholm Integral Equation
78
OneNeutronGroup Diffusion Equation
79
46 Discussion
83
47 Method for Computing the Optimal Control
85
48 Maximum Principle Approach Ref 41
88
481 Problem Formulation
90
482 Regulator Problem
91
483 Servomechanism Problem
92
484 Spatial Discretization Scheme
93
485 SpaceTime Discretization Scheme
94
486 Some Examples for Optimal Control Computations
95
487 Concluding Remarks
99
49 Singular Perturbation Theory Ref 413
100
491 State Equation
101
492 Problem Formulation
102
493 Modal Expansion
103
494 Criticality Conditions and Applicability of Singular Perturbation Theory
106
References
132
Control of Distributed Reactors in LoadFollowing
135
52 Multistage Mathematical Programming Ref 52
137
522 Objective Function
138
523 Reactor Core Model
139
524 Numerical Solution
147
525 Operational Use
150
526 Results
153
527 Concluding Remarks
159
531 The Reactor Feedback Model
160
532 The SteadyState Solution
164
534 Performance Index and the Optimal Control Problem Refs 522525
166
535 Calculation Scheme and Results
170
536 Concluding Remarks
175
54 Multilevel Methods Ref 54
176
542 Problem Formulation
184
543 Solution Algorithm
188
544 Results
190
545 Concluding Remarks
193
Appendix A
194
Appendix B
199
References
201
Application of the Minimum Norm Formulation to Problems in Control of Distributed Reactors
203
62 The Nuclear Reactor Model
204
63 Optimal Control of the State Distribution with PowerLevel Adjustment
205
631 Necessary and Sufficient Conditions of Optimality
206
64 Optimal Control of the State Distribution During LoadFollowing
213
65 Optimal Control of the State Distribution with Fixed End State
215
651 Suboptimal Control
217
652 The Minimum Norm Formulation
219
653 Practical Example
221
References
228
Conclusions
231
72 Future Work
232
Index
233
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