Nonlinear Analysis and Synthesis Techniques for Aircraft Control

1. Front Matter

   Pages I-VIII

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2. Benchmarks and Design and Analysis Challenges

   1. Front Matter

      Pages 1-1

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   2. The AIRBUS On-Ground Transport Aircraft Benchmark

      • Matthieu Jeanneau

      Pages 3-24

   3. On-Ground Transport Aircraft Nonlinear Control Design and Analysis Challenges

      • Matthieu Jeanneau

      Pages 25-33

   4. The ADMIRE Benchmark Aircraft Model

      • Martin Hagström

      Pages 35-54

   5. Nonlinear Flight Control Design and Analysis Challenge

      • Fredrik Karlsson

      Pages 55-65

3. Applications to the Airbus Benchmark

   1. Front Matter

      Pages 67-67

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   2. Nonlinear Symbolic LFT Tools for Modelling, Analysis and Design

      • Andres Marcos, Declan G. Bates, Ian Postlethwaite

      Pages 69-92

   3. Nonlinear LFT Modelling for On-Ground Transport Aircraft

      • Jean-Marc Biannic, Andres Marcos, Declan G. Bates, Ian Postlethwaite

      Pages 93-115

   4. On-Ground Aircraft Control Design Using an LPV Anti-windup Approach

      • Clement Roos, Jean-Marc Biannic, Sophie Tarbouriech, Christophe Prieur

      Pages 117-145

   5. Rapid Prototyping Using Inversion-Based Control and Object-Oriented Modelling

      • Gertjan Looye

      Pages 147-173

   6. Robustness Analysis Versus Mixed LTI/LTV Uncertainties for On-Ground Aircraft

      • Clement Roos, Jean-Marc Biannic

      Pages 175-194

4. Applications to the ADMIRE Benchmark

   1. Front Matter

      Pages 195-195

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   2. An LPV Control Law Design and Evaluation for the ADMIRE Model

      • Maria E. Sidoryuk, Mikhail G. Goman, Stephen Kendrick, Daniel J. Walker, Philip Perfect

      Pages 197-229

   3. Block Backstepping for Nonlinear Flight Control Law Design

      • John W. C. Robinson

      Pages 231-257

   4. Optimisation-Based Flight Control Law Clearance

      • Prathyush P. Menon, Declan G. Bates, Ian Postlethwaite

      Pages 259-300

   5. Investigation of the ADMIRE Manoeuvring Capabilities Using Qualitative Methods

      • Mikhail G. Goman, Andrew V. Khramtsovsky, Evgeny N. Kolesnikov

      Pages 301-324

5. Industrial Evaluation and Concluding Remarks

   1. Front Matter

      Pages 325-325

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   2. Industrial Evaluation

      • Matthieu Jeanneau, Fredrik Karlsson, Udo Korte

      Pages 327-339

   3. Concluding Remarks

      • Declan G. Bates, Martin Hagström

      Pages 341-342

Despite many signi?cant advances in the theory of nonlinear control in recent years, the majority of control laws implemented in the European aerospace - dustry are still designed and analysed using predominantly linear techniques applied to linearised models of the aircrafts’ dynamics. Given the continuous increase in the complexity of aircraft control laws, and the corresponding - crease in the demands on their performance and reliability, industrial control law designers are highly motivated to explore the applicability of new and more powerful methods for design and analysis. The successful application of fully nonlinear control techniques to aircraft control problems o?ers the prospect of improvements in several di?erent areas. Firstly, there is the possibility of - proving design and analysis criteria to more fully re?ect the nonlinear nature of the dynamics of the aircraft. Secondly, the time and e?ort required on the part of designers to meet demanding speci?cations on aircraft performance and h- dling could be reduced. Thirdly, nonlinear analysis techniques could potentially reduce the time and resources required to clear ?ight control laws, and help to bridge the gap between design, analysis and ?nal ?ight clearance. Theaboveconsiderationsmotivatedtheresearchpresentedinthisbook,which is the result of a three-year research e?ort organised by the Group for Aeron- tical Research and Technology in Europe (GARTEUR). In September 2004, GARTEUR Flight Mechanics Action Group 17 (FM-AG17) was established to conduct research on ”New Analysis and Synthesis Techniques for Aircraft Control”.

• Aircraft Control
• Flight Control
• control
• control engineering
• design
• linear optimization
• model
• nonlinear control
• optimization
• transport

• Control and Instrumentation Research Group Department of Engineering, University of Leicester, UK

  Declan Bates

• Dept. of Autonomous Systems, Swedish Defence Research Agency, Stockholm, Sweden

  Martin Hagström

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