Subchan / Zbikowski Computational Optimal Control

Tools and Practice
1. Auflage 2009
ISBN: 978-0-470-74768-1
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 202 Seiten, E-Book

Computational Optimal Control: Tools and Practice provides adetailed guide to informed use of computational optimal control inadvanced engineering practice, addressing the need for a betterunderstanding of the practical application of optimal control usingcomputational techniques.
Throughout the text the authors employ an advanced aeronauticalcase study to provide a practical, real-life setting for optimalcontrol theory. This case study focuses on an advanced, real-worldproblem known as the "terminal bunt manoeuvre" orspecial trajectory shaping of a cruise missile. Representing themany problems involved in flight dynamics, practical control andflight path constraints, this case study offers an excellentillustration of advanced engineering practice using optimalsolutions. The book describes in practical detail the real andtested optimal control software, examining the advantages andlimitations of the technology.
Featuring tutorial insights into computational optimalformulations and an advanced case-study approach to the topic,Computational Optimal Control: Tools and Practice providesan essential handbook for practising engineers and academicsinterested in practical optimal solutions in engineering.
* Focuses on an advanced, real-world aeronautical case studyexamining optimisation of the bunt manoeuvre
* Covers DIRCOL, NUDOCCCS, PROMIS and SOCS (under the GESOPenvironment), and BNDSCO
* Explains how to configure and optimize software to solvecomplex real-world computational optimal control problems
* Presents a tutorial three-stage hybrid approach to solvingoptimal control problem formulations

Autoren/Hrsg.

Subchan, Subchan

Zbikowski, Rafal

Inhaltsverzeichnis

Preface
Acknowledgements
Nomenclature
1 Introduction
1.1 Historical Context of Computational Optimal Control
1.2 Problem Formulation
1.3 Outline of the Book
2 Optimal Control: Outline of the Theory andComputation
2.1 Optimisation: From Finite to Infinite Dimension
2.2 The Optimal Control Problem
2.3 Variational Approach to Problem Solution
2.4 Nonlinear Programming Approach to Solution
2.5 Numerical Solution of the Optimal Control Problem.
2.6 Summary and Discussion
3 Minimum Altitude Formulation
3.1 Minimum Altitude Problem
3.2 Qualitative Analysis
3.3 Mathematical Analysis
3.4 Indirect Method Solution
3.5 Summary and Discussion
4 Minimum Time Formulation
4.1 Minimum Time Problem
4.2 Qualitative Analysis
4.3 Mathematical Analysis
4.4 Indirect Method Solutions
4.5 Summary and Discussion
5 Software Implementation
5.1 DIRCOL implementation
5.2 NUDOCCCS Implementation
5.3 GESOP (PROMIS/SOCS) Implementation
5.4 BNDSCO Implementation
5.5 User Experience
6 Conclusions and Recommendations
6.1 Three-stage Manual Hybrid Approach
6.2 Generating an Initial Guess: Homotopy
6.3 Pure State Constraint and Multi-objective Formulation
6.4 Final Remarks
Appendix BNDSCO Benchmark Example
A.1 Analytic Solution
A.1.1 Unconstrained or Free Arc (l >=1/4)
A.1.2 Touch Point Case (1/6 <=l<=1/4)
A.1.3 Constrained Arc Case (0 <=l<=1/6)
Bibliography
Index