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Optimization Based Clearance of Flight Control Laws [electronic resource] : A Civil Aircraft Application / edited by Andreas Varga, Anders Hansson, Guilhem Puyou.

Por: Colaborador(es): Tipo de material: TextoTextoSeries Lecture Notes in Control and Information Sciences ; 416 | Lecture Notes in Control and Information Sciences ; 416Editor: Berlin, Heidelberg : Springer Berlin Heidelberg, 2012Descripción: XXIV, 452p. 206 illus., 124 illus. in color. online resourceTipo de contenido:
  • text
Tipo de medio:
  • computer
Tipo de soporte:
  • online resource
ISBN:
  • 9783642226274
Trabajos contenidos:
  • SpringerLink (Online service)
Tema(s): Formatos físicos adicionales: Sin títuloClasificación CDD:
  • 629.8 23
Clasificación LoC:
  • TJ212-225
Recursos en línea:
Contenidos:
Springer eBooksResumen: This book summarizes the main achievements of the EC funded 6th Framework Program project COFCLUO Clearance of Flight Control Laws Using Optimization. This project successfully contributed to the achievement of a top-level objective to meet societys needs for a more efficient, safer and environmentally friendly air transport by providing new techniques and tools for the clearance of flight control laws. This is an important part of the certification and qualification process of an aircraft a costly and time-consuming process for the aeronautical industry. The overall objective of the COFCLUO project was to develop and apply optimization techniques to the clearance of flight control laws in order to improve efficiency and reliability. In the book, the new techniques are explained and benchmarked against traditional techniques currently used by the industry. The new techniques build on mathematical criteria derived from the certification and qualification requirements together with suitable models of the aircraft. The development of these criteria and models are also presented in the book. Because of wider applicability, the optimization-based clearance of flight control laws will open up the possibility to design innovative aircraft that today are out of the scope using classical clearance tools. Optimization-based clearance will not only increase safety but it will also simplify the whole certification and qualification process, thus significantly reduce cost. The achieved speedup will also support rapid modeling and prototyping and reduce ǣtime to marketǥ.
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Part I Clearance of Civil Aircraft -- Part II Generation of Linear Uncertain Models -- Part III Analysis Techniques and Tools -- Part IV Analysis Results -- Part V Industrial Evaluation -- Part VI Surveys on Flight Control Clearance.

This book summarizes the main achievements of the EC funded 6th Framework Program project COFCLUO Clearance of Flight Control Laws Using Optimization. This project successfully contributed to the achievement of a top-level objective to meet societys needs for a more efficient, safer and environmentally friendly air transport by providing new techniques and tools for the clearance of flight control laws. This is an important part of the certification and qualification process of an aircraft a costly and time-consuming process for the aeronautical industry. The overall objective of the COFCLUO project was to develop and apply optimization techniques to the clearance of flight control laws in order to improve efficiency and reliability. In the book, the new techniques are explained and benchmarked against traditional techniques currently used by the industry. The new techniques build on mathematical criteria derived from the certification and qualification requirements together with suitable models of the aircraft. The development of these criteria and models are also presented in the book. Because of wider applicability, the optimization-based clearance of flight control laws will open up the possibility to design innovative aircraft that today are out of the scope using classical clearance tools. Optimization-based clearance will not only increase safety but it will also simplify the whole certification and qualification process, thus significantly reduce cost. The achieved speedup will also support rapid modeling and prototyping and reduce ǣtime to marketǥ.

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