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Optimization Based Clearance of Flight Control Laws

A Civil Aircraft Application

  • Book
  • © 2012

Overview

  • Recent research on Optimization Based Clearance of Flight Control Laws
  • Summarizes the main achievements of the EC founded
  • 6th Framework Programme COFCLUO project
  • Written by leading experts in the field

Part of the book series: Lecture Notes in Control and Information Sciences (LNCIS, volume 416)

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Table of contents (21 chapters)

  1. Clearance of Civil Aircraft

  2. Generation of Linear Uncertain Models

  3. Analysis Techniques and Tools

  4. Analysis Results

Keywords

About this book

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 society’s 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 “time to market”.

Editors and Affiliations

  • German Aerospace Center Institute of Robotics and Mechatronics, DLR - Oberpfaffenhofen , Wessling, Germany

    Andreas Varga

  • Department of Electrical Engineering Division of Automatic Control, Linköpings Universitet , Linköping, Sweden

    Anders Hansson

  • Stability and Control Department , Airbus, Toulouse Cedex 03, France

    Guilhem Puyou

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