Optimization Based Clearance of Flight Control Laws

Optimization Based Clearance of Flight Control Laws
Author :
Publisher : Springer Science & Business Media
Total Pages : 453
Release :
ISBN-10 : 9783642226267
ISBN-13 : 3642226264
Rating : 4/5 (67 Downloads)

Book Synopsis Optimization Based Clearance of Flight Control Laws by : Andreas Varga

Download or read book Optimization Based Clearance of Flight Control Laws written by Andreas Varga and published by Springer Science & Business Media. This book was released on 2011-09-28 with total page 453 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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”.


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